CN117910364B - Satellite measurement and control simulation method and system - Google Patents
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Abstract
The invention provides a satellite measurement and control simulation method and a satellite measurement and control simulation system, which relate to the technical field of satellite digital simulation and comprise the following steps: acquiring measurement and control resources, traversing the measurement and control resources, determining the length of an idle time window corresponding to each measurement and control resource, and generating a measurement and control resource list by combining the occupied load and the maximum occupied load of the measurement and control resources; analyzing the measurement and control requirements of the current satellite, determining the data timeliness of the measurement and control requirements, determining the channel consistency requirements, determining the minimum data transmission time of the satellite based on the information data quantity requirements and the data transmission speed, and generating a measurement and control optimization target by taking the data timeliness, the channel consistency and the minimum data transmission time as sub-optimization targets; generating an initial firefly group, calculating relative brightness and updating positions of each individual in the initial firefly group, generating a child firefly, repeatedly generating until the preset iteration times are reached, and selecting an optimal individual as an optimal solution to obtain satellite measurement and control requirements.
Description
Technical Field
The invention relates to the technical field of satellite digital simulation, in particular to a satellite measurement and control simulation method and system.
Background
In the prior art, CN116306039a discloses a satellite measurement and control subsystem all-digital simulation platform, which comprises a simulation system and a hardware layer, the hardware layer is used for supporting the simulation system to run, the simulation system is used for performing all-digital simulation on the satellite measurement and control subsystem, and the simulation system comprises: the data layer is used for providing data for the simulation operation of the simulation system; the service layer provides visual scenes, vision and constraint conditions for the satellite measurement and control platform and the satellite-ground measurement and control link; and the service application layer is used for carrying out satellite measurement and control subsystem simulation application.
In summary, although the simulation of satellite measurement and control can be realized in the prior art, the simulation strategy cannot be adjusted according to the measurement and control requirements, so that a solution is needed to solve the problems in the prior art.
Disclosure of Invention
The embodiment of the invention provides a satellite measurement and control simulation method and system, which at least can solve part of problems in the prior art.
In a first aspect of the embodiment of the present invention, a satellite measurement and control simulation method is provided, including:
Acquiring measurement and control resources, traversing the measurement and control resources, determining an idle time window corresponding to each measurement and control resource, determining the length of the idle time window, and generating a measurement and control resource list by combining the occupied load and the maximum occupied load of the medium-low orbit satellite on the measurement and control resources;
Analyzing the measurement and control requirement of the current satellite based on the measurement and control resource list, determining the data timeliness of the measurement and control requirement based on the effective time and the transmission time of measurement and control data, determining the channel consistency requirement based on the return frequency of the measurement and control data and the receiving frequency band of the ground station antenna, determining the minimum data transmission time of the satellite based on the information data quantity requirement and the data transmission speed, taking the data timeliness, the channel consistency and the minimum data transmission time as sub-optimization targets, and comprehensively generating a measurement and control optimization target;
Generating an initial firefly population based on the measurement and control optimization target through a preset multi-target optimization algorithm, calculating relative brightness for each individual in the initial firefly population, updating the position based on the relative brightness, generating a child firefly through a sequence crossover operator based on a conflict coefficient, repeatedly generating until the preset iteration number is reached, and selecting an optimal individual as an optimal solution to obtain satellite measurement and control requirements, wherein the multi-target optimization algorithm is constructed based on an improved firefly algorithm.
In an alternative embodiment of the present invention,
The obtaining measurement and control resources, traversing the measurement and control resources, determining an idle time window corresponding to each measurement and control resource, determining the length of the idle time window, and combining the occupied load and the maximum occupied load of the medium-low orbit satellite on the measurement and control resources to generate a measurement and control resource list, wherein the generating the measurement and control resource list comprises:
acquiring currently available measurement and control resources, traversing the measurement and control resources by inquiring a database, acquiring the occupied state and the occupied plan of the current measurement and control resources for each measurement and control resource, determining an idle time window by analyzing scheduled tasks and the current occupied situation, and determining the length of the idle time window according to the starting time and the ending time of the idle time window;
for each measurement and control resource, determining the corresponding occupied load and the maximum occupied load of different middle-low orbit satellites by acquiring the frequency, the wave band and the bandwidth requirements of the middle-low orbit satellites on the measurement and control resource;
Initializing an empty set, adding the measurement and control resources and idle time windows corresponding to the measurement and control resources, occupying loads into the empty set, and generating a measurement and control resource list.
In an alternative embodiment of the present invention,
The method comprises the steps of analyzing the measurement and control requirement of a current satellite based on the measurement and control resource list, determining the data timeliness of the measurement and control requirement based on the effective time and the transmission time of measurement and control data, determining the channel consistency requirement based on the return frequency of the measurement and control data and the receiving frequency band of a ground station antenna, determining the minimum data transmission time of the satellite based on the information data quantity requirement and the data transmission speed, taking the data timeliness, the channel consistency and the minimum data transmission time as sub-optimization targets, and comprehensively generating the measurement and control optimization targets, wherein the sub-optimization targets comprise:
Acquiring the measurement and control resource list and the measurement and control requirements of the current satellite, wherein the measurement and control requirements comprise data timeliness requirements, channel consistency requirements and information data volume requirements;
Based on the effective time of measurement and control data and the transmission time of the satellite reaching the ground station, analyzing the time-efficiency requirement of the measurement and control data, based on the return frequency of the measurement and control data and the receiving frequency band of the ground station antenna, determining the channel consistency requirement in combination with the minimum quality requirement of data communication, and calculating the minimum data transmission time of the satellite based on the information data quantity requirement of the ground station and the data transmission speed of the satellite to the measurement and control data;
And taking the data timeliness, the channel consistency and the minimum data transmission time as sub-optimization targets, and comprehensively generating measurement and control optimization targets.
In an alternative embodiment of the present invention,
And taking the data timeliness, the channel consistency and the minimum data transmission time as sub-optimization targets, and comprehensively generating a measurement and control optimization target as shown in the following formula:
；
Where x ij is a binary variable, indicating whether task i is allocated to channel j, tw ij indicates a transmission time period of task i on channel j, p ij indicates a power of task i on channel j, tw sp indicates a scheduling time period related to task scheduling, n indicates a total number of tasks, m indicates a total number of channels, MD 1 is a first optimization target, MD 2 is a second optimization target, MD 3 is a third optimization target, and indicates a total timeliness of tasks.
In an alternative embodiment of the present invention,
Generating an initial firefly group based on the measurement and control optimization target through a preset multi-target optimization algorithm, calculating relative brightness for each individual in the initial firefly group, updating the position based on the relative brightness, generating a child firefly through a sequence crossing operator based on a conflict coefficient, repeatedly generating until the preset iteration number is reached, selecting an optimal individual as an optimal solution, and obtaining satellite measurement and control requirements comprises the following steps:
Generating an initial firefly group based on the measurement and control optimization target through a preset multi-target optimization algorithm, determining the number of individuals in the initial firefly group, and randomly distributing positions for each firefly, wherein each firefly represents a solution corresponding to the measurement and control optimization target, and the maximum iteration number and the light intensity attenuation coefficient and the attraction degree of each firefly individual;
Determining, for each individual in the initial firefly population, relative brightness based on performance on an objective function, performing pairwise comparisons based on the relative brightness, the individuals with higher relative brightness values remaining unchanged in position, the individuals with lower relative brightness values moving toward the individuals with higher relative brightness values, updating the position of each individual, and evaluating based on pareto dominance, computing a corresponding fitness value for each non-dominant individual;
Generating a progeny firefly and re-reexamine estimating individual performances by a sequence crossing operator based on a conflict coefficient based on the fitness value corresponding to each individual, repeatedly generating until the preset iteration times are reached, and selecting an optimal individual from a final firefly group as an optimal solution to obtain the satellite measurement and control requirement.
In an alternative embodiment of the present invention,
Generating the progeny fireflies through sequence crossing operators based on the collision coefficients based on the fitness values corresponding to each individual comprises:
For each non-dominated individual, respectively calculating corresponding fitness values, arranging the fitness values in a descending order, and selecting firefly individuals corresponding to the first two fitness values as a parent chromosome and a parent chromosome respectively;
For the father chromosome, reading the conflict coefficient of each gene and calculating the conflict coefficient sum of all genes in the father chromosome, calculating the fitness ratio of each gene, generating a random number between 0 and 1 as a wheel pointer, accumulating the fitness ratio corresponding to each gene from the first gene of the father chromosome, marking the accumulated fitness ratio as an accumulated fitness ratio until the accumulated fitness ratio is larger than the wheel pointer, selecting the last gene added into the accumulated fitness ratio, and repeatedly selecting until the preset selection number is reached;
For each selected gene, determining the corresponding position of each gene in a parent chromosome, and adjusting the position of the corresponding gene in the parent chromosome based on the position of the selected gene in the parent chromosome to generate a progeny firefly.
In an alternative embodiment of the present invention,
And reading the conflict coefficient of each gene, calculating the conflict coefficient sum of all genes in the parent chromosome, and calculating the fitness ratio of each gene as shown in the following formula:
；
where R () represents the fitness ratio, Represents the kth gene in the chromosome, CC () represents the coefficient of collision of the genes,/>Represents the i-th gene in the chromosome, M represents the total number of genes.
In a second aspect of the embodiment of the present invention, a satellite measurement and control simulation system is provided, including:
The first unit is used for acquiring measurement and control resources, traversing the measurement and control resources, determining an idle time window corresponding to each measurement and control resource, determining the length of the idle time window, and generating a measurement and control resource list by combining the occupied load and the maximum occupied load of the medium-low orbit satellite on the measurement and control resources;
The second unit is used for analyzing the measurement and control requirements of the current satellite based on the measurement and control resource list, determining the data timeliness of the measurement and control requirements based on the effective time and the transmission time of measurement and control data, determining the channel consistency requirement based on the return frequency of the measurement and control data and the receiving frequency band of the ground station antenna, determining the minimum data transmission time of the satellite based on the information data quantity requirement and the data transmission speed, taking the data timeliness, the channel consistency and the minimum data transmission time as sub-optimization targets, and comprehensively generating the measurement and control optimization targets;
The third unit is used for generating an initial firefly group through a preset multi-target optimization algorithm based on the measurement and control optimization target, calculating relative brightness for each individual in the initial firefly group, updating the position based on the relative brightness, generating a child firefly through a sequence crossing operator based on a conflict coefficient, repeatedly generating until the preset iteration number is reached, and selecting an optimal individual as an optimal solution to obtain satellite measurement and control requirements, wherein the multi-target optimization algorithm is constructed based on an improved firefly algorithm.
In a third aspect of an embodiment of the present invention,
There is provided an electronic device including:
A processor;
A memory for storing processor-executable instructions;
Wherein the processor is configured to invoke the instructions stored in the memory to perform the method described previously.
In a fourth aspect of an embodiment of the present invention,
There is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method as described above.
According to the method, the idle time window corresponding to each measurement and control resource and the length of the idle time window are determined through traversing the measurement and control resource, so that the measurement and control resource can be effectively utilized, the conflict is avoided, the resource utilization rate is improved, the measurement and control resource list and the measurement and control requirements of the current satellite are analyzed, the data timeliness, the channel consistency requirements and the minimum data transmission time of the measurement and control requirements are determined, the requirements are used as sub-optimization targets, comprehensive generation of the measurement and control optimization targets is conducive to comprehensive and multi-aspect optimization of the measurement and control task, the relative brightness and the sequence crossing operator based on the conflict coefficients are calculated to generate offspring, the new firefly population is iteratively generated, the optimal individual is selected to serve as an optimal solution, the overall optimal solution is found in the multi-target optimization problem, the availability of the resources and the multi-aspect factors of the satellite measurement and control requirements are comprehensively considered, the overall performance of the satellite measurement and control system is effectively improved through the multi-target optimization algorithm, and the effective utilization of the resources and the timely completion of the tasks are guaranteed, and all requirements are met.
Drawings
FIG. 1 is a schematic flow chart of a satellite measurement and control simulation method according to an embodiment of the invention;
FIG. 2 is a schematic diagram of a satellite measurement and control simulation system according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The technical scheme of the invention is described in detail below by specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
FIG. 1 is a schematic flow chart of a satellite measurement and control simulation method according to an embodiment of the present invention, as shown in FIG. 1, the method includes:
S1, acquiring measurement and control resources, traversing the measurement and control resources, determining an idle time window corresponding to each measurement and control resource, determining the length of the idle time window, and generating a measurement and control resource list by combining the occupied load and the maximum occupied load of the medium-low orbit satellite on the measurement and control resources;
the measurement and control resources refer to various devices and systems for measuring, monitoring and controlling satellite states including, but not limited to, telemetry devices, remote control devices, ground stations, and the like. The idle time window refers to an idle period during which the satellite may be used to perform other tasks or receive instructions, the occupancy load refers to the extent to which a device or system on the satellite is currently performing tasks, measurements, or other operations, and the maximum occupancy load refers to the maximum workload level that the satellite is able to withstand in its design and planning.
In an alternative embodiment of the present invention,
The obtaining measurement and control resources, traversing the measurement and control resources, determining an idle time window corresponding to each measurement and control resource, determining the length of the idle time window, and combining the occupied load and the maximum occupied load of the medium-low orbit satellite on the measurement and control resources to generate a measurement and control resource list, wherein the generating the measurement and control resource list comprises:
acquiring currently available measurement and control resources, traversing the measurement and control resources by inquiring a database, acquiring the occupied state and the occupied plan of the current measurement and control resources for each measurement and control resource, determining an idle time window by analyzing scheduled tasks and the current occupied situation, and determining the length of the idle time window according to the starting time and the ending time of the idle time window;
for each measurement and control resource, determining the corresponding occupied load and the maximum occupied load of different middle-low orbit satellites by acquiring the frequency, the wave band and the bandwidth requirements of the middle-low orbit satellites on the measurement and control resource;
Initializing an empty set, adding the measurement and control resources and idle time windows corresponding to the measurement and control resources, occupying loads into the empty set, and generating a measurement and control resource list.
The occupancy state refers to the current working state of a specific resource on a measurement and control system or a satellite, the occupancy plan refers to a plan for arranging and planning the measurement and control resource so as to ensure that the resource is reasonably utilized in a given time, and the measurement and control resource list is a list of all measurement and control systems and devices, wherein the list comprises various resources for measuring, monitoring and controlling the satellite, such as telemetry equipment, remote control equipment, ground stations and the like.
Establishing connection with a measurement and control resource database, inquiring basic information of all measurement and control resources from the database, including resource names, types, frequencies, wave bands, bandwidth requirements and the like, traversing each measurement and control resource, inquiring the database for each resource, acquiring the occupied state and occupied plan information of the current measurement and control resource, determining an idle time window of the current measurement and control resource by comparing scheduled tasks and occupied plans with the time range of the resource according to occupied plans and actual occupied conditions, and calculating the length of the window according to the starting time and the ending time of the idle time window;
inquiring a database to acquire information such as frequency, wave band, bandwidth requirement and the like of the middle and low orbit satellites in the measurement and control resources, and determining current occupied load and maximum occupied load according to the satellite information and the characteristics of the measurement and control resources;
Adding information of each measurement and control resource, including resource name, type, frequency, wave band, bandwidth demand, idle time window, occupied load and maximum occupied load, to a measurement and control resource list, and returning the generated measurement and control resource list for further use;
In this embodiment, the occupied state and the occupied plan are obtained by traversing the measurement and control resource by querying the database, so that dynamic scheduling of the measurement and control resource can be realized, the utilization of the resource can be improved to the greatest extent, the system efficiency is improved, the scheduled task and the current occupied situation are analyzed, the starting time, the ending time and the length of the idle time window are determined, the idle time period of the system is determined, the system can execute other tasks in the time periods, the resource utilization rate is improved, the frequency, the wave band and the bandwidth demand information of the medium-low orbit satellite for the measurement and control resource is obtained, the communication matching between the measurement and control resource and the satellite can be ensured, the communication quality and the communication efficiency are improved, the occupied load and the maximum occupied load corresponding to different medium-low orbit satellites can be determined by knowing the frequency, the wave band and the bandwidth demand of the satellite, the use condition of the resource is planned and predicted, and the maximum load of the resource is not exceeded is ensured.
S2, analyzing the measurement and control requirements of the current satellite based on the measurement and control resource list, determining the data timeliness of the measurement and control requirements based on the effective time and the transmission time of measurement and control data, determining the channel consistency requirement based on the return frequency of the measurement and control data and the receiving frequency band of the ground station antenna, determining the minimum data transmission time of the satellite based on the information data quantity requirement and the data transmission speed, taking the data timeliness, the channel consistency and the minimum data transmission time as sub-optimization targets, and comprehensively generating a measurement and control optimization target;
The data timeliness refers to the speed and timeliness of acquiring, processing and transmitting data, the channel consistency refers to the stability and consistency of a communication channel when transmitting data, the information data requirement refers to the requirement of specific type and quality of information data in specific tasks or applications, the minimum data transmission time refers to the minimum time required for transmitting measurement data from a satellite to a ground station, and the measurement and control optimization target refers to the goal of achieving the system operation efficiency, stability or specific task requirement in a satellite measurement and control system by adjusting and optimizing system parameters, resource allocation and the like.
In an alternative embodiment of the present invention,
The method comprises the steps of analyzing the measurement and control requirement of a current satellite based on the measurement and control resource list, determining the data timeliness of the measurement and control requirement based on the effective time and the transmission time of measurement and control data, determining the channel consistency requirement based on the return frequency of the measurement and control data and the receiving frequency band of a ground station antenna, determining the minimum data transmission time of the satellite based on the information data quantity requirement and the data transmission speed, taking the data timeliness, the channel consistency and the minimum data transmission time as sub-optimization targets, and comprehensively generating the measurement and control optimization targets, wherein the sub-optimization targets comprise:
Acquiring the measurement and control resource list and the measurement and control requirements of the current satellite, wherein the measurement and control requirements comprise data timeliness requirements, channel consistency requirements and information data volume requirements;
Based on the effective time of measurement and control data and the transmission time of the satellite reaching the ground station, analyzing the time-efficiency requirement of the measurement and control data, based on the return frequency of the measurement and control data and the receiving frequency band of the ground station antenna, determining the channel consistency requirement in combination with the minimum quality requirement of data communication, and calculating the minimum data transmission time of the satellite based on the information data quantity requirement of the ground station and the data transmission speed of the satellite to the measurement and control data;
And taking the data timeliness, the channel consistency and the minimum data transmission time as sub-optimization targets, and comprehensively generating measurement and control optimization targets.
The return frequency refers to a frequency used for transmitting data or signals in a wireless communication system, in satellite communication, a frequency used when a satellite transmits information to a ground station is the return frequency, the receiving frequency band refers to a frequency range used for receiving wireless signals, and in satellite communication, a frequency band used when the ground station receives information transmitted by the satellite is the receiving frequency band.
Inquiring a measurement and control resource list, acquiring information of each measurement and control resource, and simultaneously acquiring measurement and control requirements of a current satellite, wherein the measurement and control requirements comprise data timeliness requirements, channel consistency requirements and information data volume requirements;
Based on the effective time of the measurement and control data and the transmission time of the satellite reaching the ground station, the timeliness requirement of the measurement and control data is analyzed, the channel consistency requirement is determined based on the return frequency of the measurement and control data and the receiving frequency band of the ground station antenna and combined with the minimum quality requirement of data communication, the minimum data transmission time of the satellite is calculated based on the information data quantity requirement of the ground station and the data transmission speed of the satellite to the measurement and control data, the timeliness of the data, the channel consistency and the minimum data transmission time are taken as sub-optimization targets, the measurement and control optimization targets are comprehensively generated,
Illustratively, assuming two measurement and control resources, the ground station requirements data time efficiency requirements are met within 10 minutes, the channel consistency requirements are met 90% of the time, and the information data volume requirements are 100MB. The data transmission speed of the satellite to the measurement and control data is 1Mbps, and the measurement and control resource is 1: frequency 1GHz, return frequency 1.5GHz, data timeliness requirement 10 minutes, channel consistency requirement 90%, information data volume requirement 100MB, measurement and control resource 2: the method comprises the steps of setting a proper data transmission starting time according to the transmission time of a satellite reaching a ground station, determining the requirement of channel consistency according to the return frequency, a receiving frequency band and the minimum quality requirement, ensuring the quality of a communication channel, calculating the minimum data transmission time of the satellite based on the information data quantity requirement and the data transmission speed, taking the data timeliness, the channel consistency and the minimum data transmission time as sub-optimization targets, and comprehensively generating a measurement and control optimization target, wherein the frequency is 2GHz, the return frequency is 2.5GHz, the data timeliness requirement is 10 minutes, the channel consistency requirement is 90 percent, the information data quantity requirement is 100MB, the data is required to be available within 10 minutes.
In this embodiment, by analyzing the effective time of measurement and control data and the transmission time of the satellite reaching the ground station, reasonable data timeliness requirements can be set according to actual requirements, and the measurement and control data can be ensured to be acquired and processed in a specified time, so that the system has better real-time requirements, the requirement of channel consistency is determined by considering the minimum quality requirements of return frequency, receiving frequency band and data communication, the stability of a communication channel is helped to be maintained, the reliability of data transmission is improved, the information quality is ensured, the minimum data transmission time of the satellite is calculated, the measurement and control data can be ensured to be transmitted to the ground station in the shortest time, the data can be acquired in time, the data timeliness requirements are met, the resource utilization and transmission efficiency are optimized, and in conclusion, the operation of the measurement and control system can be quantized and optimized more accurately, the efficiency and reliability of the satellite are improved, and the real-time and quality requirements of satellite tasks are ensured to be met.
In an alternative embodiment of the present invention,
And taking the data timeliness, the channel consistency and the minimum data transmission time as sub-optimization targets, and comprehensively generating a measurement and control optimization target as shown in the following formula:
；
Where x ij is a binary variable, indicating whether task i is allocated to channel j, tw ij indicates a transmission time period of task i on channel j, p ij indicates a power of task i on channel j, tw sp indicates a scheduling time period related to task scheduling, n indicates a total number of tasks, m indicates a total number of channels, MD 1 is a first optimization target, MD 2 is a second optimization target, MD 3 is a third optimization target, and indicates a total timeliness of tasks.
In the function, under the condition that factors such as data timeliness, channel consistency and minimum data transmission time are taken as sub-targets, real-time performance, channel quality and transmission time length are comprehensively considered, the function can be optimized in multiple aspects, balance among different sub-targets can be achieved, an optimal balance point is found according to actual requirements, tasks and channels can be flexibly distributed by using related parameters such as binary variables, transmission time length and power consumption, and therefore the requirement of multi-target optimization is better met.
S3, generating an initial firefly group through a preset multi-target optimization algorithm based on the measurement and control optimization target, calculating relative brightness for each individual in the initial firefly group, updating the position based on the relative brightness, generating a child firefly through a sequence crossing operator based on a conflict coefficient, repeatedly generating until the preset iteration number is reached, and selecting an optimal individual as an optimal solution to obtain satellite measurement and control requirements, wherein the multi-target optimization algorithm is constructed based on an improved firefly algorithm.
The initial firefly population refers to a group of firefly individuals randomly generated at the beginning of an algorithm in a multi-objective optimization algorithm, the relative brightness represents the fitness or objective function value of the firefly individuals randomly generated at the beginning of the algorithm, the higher the brightness is generally the better the position in a search space, the conflict coefficient is one parameter used for managing the search space in the optimization algorithm, and the sequence crossover operator is generally used in the optimization algorithm such as a genetic algorithm and the like and is used for generating new individuals.
In an alternative embodiment of the present invention,
Generating an initial firefly group based on the measurement and control optimization target through a preset multi-target optimization algorithm, calculating relative brightness for each individual in the initial firefly group, updating the position based on the relative brightness, generating a child firefly through a sequence crossing operator based on a conflict coefficient, repeatedly generating until the preset iteration number is reached, selecting an optimal individual as an optimal solution, and obtaining satellite measurement and control requirements comprises the following steps:
Generating an initial firefly group based on the measurement and control optimization target through a preset multi-target optimization algorithm, determining the number of individuals in the initial firefly group, and randomly distributing positions for each firefly, wherein each firefly represents a solution corresponding to the measurement and control optimization target, and the maximum iteration number and the light intensity attenuation coefficient and the attraction degree of each firefly individual;
Determining, for each individual in the initial firefly population, relative brightness based on performance on an objective function, performing pairwise comparisons based on the relative brightness, the individuals with higher relative brightness values remaining unchanged in position, the individuals with lower relative brightness values moving toward the individuals with higher relative brightness values, updating the position of each individual, and evaluating based on pareto dominance, computing a corresponding fitness value for each non-dominant individual;
Generating a progeny firefly and re-reexamine estimating individual performances by a sequence crossing operator based on a conflict coefficient based on the fitness value corresponding to each individual, repeatedly generating until the preset iteration times are reached, and selecting an optimal individual from a final firefly group as an optimal solution to obtain the satellite measurement and control requirement.
The light intensity attenuation coefficient refers to the weakening rate of light rays due to absorption and scattering during propagation, the attraction degree refers to attraction force or attraction force generated by one object or position on other objects or positions, the pareto dominance is a concept in multi-objective optimization, and if one solution is at least as good as another solution on all objective functions and better than another solution on at least one objective function in the optimization problem, the former is considered to be the pareto dominance of the latter for defining the merits of solutions in the multi-objective optimization problem.
Setting the initial number, the maximum iteration number, the light intensity attenuation coefficient, the attraction degree and other parameters of the firefly population, using an initialization method of a multi-objective optimization algorithm, for example, randomly generating a certain number of individuals in a search space, each individual expressing a possible solution of a measurement and control optimization target, evaluating each solution of fireflies, and calculating the fitness value of each solution of fireflies on the measurement and control optimization target, namely calculating an objective function value;
Determining the relative brightness of each individual based on the objective function value, performing pairwise comparison on each pair of fireflies, keeping the positions of the individuals with higher relative brightness values unchanged, moving the individuals with lower relative brightness values to the individuals with higher relative brightness values, updating the positions of each individual, evaluating each individual based on the pareto branch, calculating the corresponding fitness value of each non-dominated individual, generating child fireflies through a sequence crossover operator based on the collision coefficient based on the corresponding fitness value of each individual, and repeating the operation until the preset iteration times are reached;
And selecting an optimal individual in the final firefly population, wherein a non-dominant solution or a solution on the pareto front is selected as an optimal solution according to the pareto dominant relationship, and the optimal solution is a solution meeting the satellite measurement and control requirements.
In this embodiment, the algorithm may derive the relative advantage of the individual in the firefly population by determining the relative brightness based on the objective function performance, the brighter individual keeps its position unchanged, and the darker individual moves to the brighter individual to facilitate searching in the search space, and is more likely to find the global optimal solution.
In an alternative embodiment of the present invention,
Generating the progeny fireflies through sequence crossing operators based on the collision coefficients based on the fitness values corresponding to each individual comprises:
For each non-dominated individual, respectively calculating corresponding fitness values, arranging the fitness values in a descending order, and selecting firefly individuals corresponding to the first two fitness values as a parent chromosome and a parent chromosome respectively;
For the father chromosome, reading the conflict coefficient of each gene and calculating the conflict coefficient sum of all genes in the father chromosome, calculating the fitness ratio of each gene, generating a random number between 0 and 1 as a wheel pointer, accumulating the fitness ratio corresponding to each gene from the first gene of the father chromosome, marking the accumulated fitness ratio as an accumulated fitness ratio until the accumulated fitness ratio is larger than the wheel pointer, selecting the last gene added into the accumulated fitness ratio, and repeatedly selecting until the preset selection number is reached;
For each selected gene, determining the corresponding position of each gene in a parent chromosome, and adjusting the position of the corresponding gene in the parent chromosome based on the position of the selected gene in the parent chromosome to generate a progeny firefly.
The dominance is that one solution is at least as good as another solution on all targets and more advantageous on at least one target, the wheel pointer is a method of selecting based on fitness values, typically used in optimization algorithms such as genetic algorithms, and the cumulative fitness ratio is that a cumulative fitness ratio is calculated for each individual during the selection process, typically used for wheel pointer selection.
For each non-dominated individual, calculating corresponding fitness values, and arranging the fitness values in a descending order, and selecting individuals corresponding to the first two fitness values from the sorted fitness values to serve as a parent chromosome and a parent chromosome respectively;
For the father chromosome, reading conflict coefficients of each gene and calculating the sum, then calculating the fitness ratio of each gene, generating a random number between 0 and 1 as a wheel pointer, starting from the first gene of the father chromosome, accumulating the fitness ratio corresponding to each gene until the accumulated fitness ratio is greater than the wheel pointer, selecting the last gene added into the accumulated fitness ratio, and repeating the selection process until the preset selection number is reached;
for each selected gene, its position is determined in the parent chromosome, and the position of the corresponding gene in the parent chromosome is adjusted based on the position of the selected gene in the parent chromosome, generating a progeny firefly.
Illustratively, it is assumed that there is one chromosome containing 5 genes, where the collision coefficients are [0.1,0.3,0.5,0.2,0.4], respectively. The sequence of the wheel pointer selection genes is obtained through the fitness ratio, the wheel pointer is assumed to be 0.7, the fitness ratio is accumulated to be [0.1,0.4,0.9,1.1,1.5], the wheel pointer is 0.7, the selected genes are the 3 rd genes (the first gene in the accumulated fitness ratio is more than 0.7 is the 3 rd gene), in the selection process, different selection results can be obtained according to the randomness of the wheel pointer and the difference of the fitness ratio, and the adjustment of the gene positions from the father chromosome gene to the mother chromosome can be obtained.
In this embodiment, the selection of the non-dominant individuals helps to maintain diversity in the population, and the centralized search is performed on the pareto front, so that a more comprehensive solution set is found in the search space, the selection of the roulette pointer is used to make the individuals with higher fitness have a larger selection probability, so that the excellent individuals can be retained, and the excellent genetic information can be transferred between the parent and the offspring.
In an alternative embodiment of the present invention,
And reading the conflict coefficient of each gene, calculating the conflict coefficient sum of all genes in the parent chromosome, and calculating the fitness ratio of each gene as shown in the following formula:
；
where R () represents the fitness ratio, Represents the kth gene in the chromosome, CC () represents the coefficient of collision of the genes,/>Represents the i-th gene in the chromosome, M represents the total number of genes.
In the function, by considering the conflict coefficient of each gene, the fitness ratio is more prone to the genes with lower conflict coefficients, so that when the parent chromosomes are selected, the genes with smaller conflict are more likely to be selected, the overall performance of the system is improved, the obtained fitness ratio is standardized by dividing the conflict coefficient of each gene with the sum, so that the ratio is easier to interpret and compare, the calculation of the fitness ratio is based on the sum of the conflict coefficients of all genes, the conflict situation of the whole chromosomes is reflected, the global fitness information is introduced in the selection process, the selection is more comprehensive and comprehensive, in sum, the function provides a fitness ratio relative to the whole chromosomes by comprehensively considering the conflict coefficients of the genes, provides more comprehensive and comprehensive information for individual selection in an evolutionary algorithm, is beneficial to generating better parent chromosomes, and the satellite measurement and control system is optimized.
FIG. 2 is a schematic structural diagram of a satellite measurement and control simulation system according to an embodiment of the present invention, as shown in FIG. 2, the system includes:
The first unit is used for acquiring measurement and control resources, traversing the measurement and control resources, determining an idle time window corresponding to each measurement and control resource, determining the length of the idle time window, and generating a measurement and control resource list by combining the occupied load and the maximum occupied load of the medium-low orbit satellite on the measurement and control resources;
The second unit is used for analyzing the measurement and control requirements of the current satellite based on the measurement and control resource list, determining the data timeliness of the measurement and control requirements based on the effective time and the transmission time of measurement and control data, determining the channel consistency requirement based on the return frequency of the measurement and control data and the receiving frequency band of the ground station antenna, determining the minimum data transmission time of the satellite based on the information data quantity requirement and the data transmission speed, taking the data timeliness, the channel consistency and the minimum data transmission time as sub-optimization targets, and comprehensively generating the measurement and control optimization targets;
The third unit is used for generating an initial firefly group through a preset multi-target optimization algorithm based on the measurement and control optimization target, calculating relative brightness for each individual in the initial firefly group, updating the position based on the relative brightness, generating a child firefly through a sequence crossing operator based on a conflict coefficient, repeatedly generating until the preset iteration number is reached, and selecting an optimal individual as an optimal solution to obtain satellite measurement and control requirements, wherein the multi-target optimization algorithm is constructed based on an improved firefly algorithm.
In a third aspect of an embodiment of the present invention,
There is provided an electronic device including:
A processor;
A memory for storing processor-executable instructions;
Wherein the processor is configured to invoke the instructions stored in the memory to perform the method described previously.
In a fourth aspect of an embodiment of the present invention,
There is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method as described above.
The present invention may be a method, apparatus, system, and/or computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for performing various aspects of the present invention.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (8)
1. The satellite measurement and control simulation method is characterized by comprising the following steps of:
Acquiring measurement and control resources, traversing the measurement and control resources, determining an idle time window corresponding to each measurement and control resource, determining the length of the idle time window, and generating a measurement and control resource list by combining the occupied load and the maximum occupied load of the medium-low orbit satellite on the measurement and control resources;
Analyzing the measurement and control requirement of the current satellite based on the measurement and control resource list, determining the data timeliness of the measurement and control requirement based on the effective time and the transmission time of measurement and control data, determining the channel consistency requirement based on the return frequency of the measurement and control data and the receiving frequency band of the ground station antenna, determining the minimum data transmission time of the satellite based on the information data quantity requirement and the data transmission speed, taking the data timeliness, the channel consistency and the minimum data transmission time as sub-optimization targets, and comprehensively generating a measurement and control optimization target;
Generating an initial firefly group based on the measurement and control optimization target through a preset multi-target optimization algorithm, calculating relative brightness for each individual in the initial firefly group, updating the position based on the relative brightness, generating a child firefly through a sequence crossover operator based on a conflict coefficient, repeatedly generating until reaching the preset iteration times, and selecting an optimal individual as an optimal solution to obtain satellite measurement and control requirements, wherein the multi-target optimization algorithm is constructed based on an improved firefly algorithm;
Generating an initial firefly group based on the measurement and control optimization target through a preset multi-target optimization algorithm, calculating relative brightness for each individual in the initial firefly group, updating the position based on the relative brightness, generating a child firefly through a sequence crossing operator based on a conflict coefficient, repeatedly generating until the preset iteration number is reached, selecting an optimal individual as an optimal solution, and obtaining satellite measurement and control requirements comprises the following steps:
Generating an initial firefly group based on the measurement and control optimization target through a preset multi-target optimization algorithm, determining the number of individuals in the initial firefly group, and randomly distributing positions for each firefly, wherein each firefly represents a solution corresponding to the measurement and control optimization target, and the maximum iteration number and the light intensity attenuation coefficient and the attraction degree of each firefly individual;
Determining, for each individual in the initial firefly population, relative brightness based on performance on an objective function, performing pairwise comparisons based on the relative brightness, the individuals with higher relative brightness values remaining unchanged in position, the individuals with lower relative brightness values moving toward the individuals with higher relative brightness values, updating the position of each individual, and evaluating based on pareto dominance, computing a corresponding fitness value for each non-dominant individual;
generating a progeny firefly and re-reexamine estimating individual performances by a sequence crossing operator based on a conflict coefficient based on the fitness value corresponding to each individual, repeatedly generating until the preset iteration times are reached, and selecting an optimal individual from a final firefly group as an optimal solution to obtain the satellite measurement and control requirement;
Generating the progeny fireflies through sequence crossing operators based on the collision coefficients based on the fitness values corresponding to each individual comprises:
For each non-dominated individual, respectively calculating corresponding fitness values, arranging the fitness values in a descending order, and selecting firefly individuals corresponding to the first two fitness values as a parent chromosome and a parent chromosome respectively;
For the father chromosome, reading the conflict coefficient of each gene and calculating the conflict coefficient sum of all genes in the father chromosome, calculating the fitness ratio of each gene, generating a random number between 0 and 1 as a wheel pointer, accumulating the fitness ratio corresponding to each gene from the first gene of the father chromosome, marking the accumulated fitness ratio as an accumulated fitness ratio until the accumulated fitness ratio is larger than the wheel pointer, selecting the last gene added into the accumulated fitness ratio, and repeatedly selecting until the preset selection number is reached;
For each selected gene, determining the corresponding position of each gene in a parent chromosome, and adjusting the position of the corresponding gene in the parent chromosome based on the position of the selected gene in the parent chromosome to generate a progeny firefly.
2. The method of claim 1, wherein the obtaining the measurement and control resources, traversing the measurement and control resources and determining an idle time window corresponding to each measurement and control resource, determining a length of the idle time window, and combining the occupied load and the maximum occupied load of the measurement and control resources by the low-medium orbit satellite, generating the measurement and control resource list comprises:
acquiring currently available measurement and control resources, traversing the measurement and control resources by inquiring a database, acquiring the occupied state and the occupied plan of the current measurement and control resources for each measurement and control resource, determining an idle time window by analyzing scheduled tasks and the current occupied situation, and determining the length of the idle time window according to the starting time and the ending time of the idle time window;
for each measurement and control resource, determining the corresponding occupied load and the maximum occupied load of different middle-low orbit satellites by acquiring the frequency, the wave band and the bandwidth requirements of the middle-low orbit satellites on the measurement and control resource;
Initializing an empty set, adding the measurement and control resources and idle time windows corresponding to the measurement and control resources, occupying loads into the empty set, and generating a measurement and control resource list.
3. The method of claim 1, wherein the analyzing the measurement and control requirement of the current satellite based on the measurement and control resource list, determining the data timeliness of the measurement and control requirement based on the effective time and the transmission time of the measurement and control data, determining the channel consistency requirement based on the return frequency of the measurement and control data and the receiving frequency band of the ground station antenna, determining the minimum data transmission time of the satellite based on the information data quantity requirement and the data transmission speed, taking the data timeliness, the channel consistency and the minimum data transmission time as sub-optimization targets, and comprehensively generating the measurement and control optimization targets comprises:
Acquiring the measurement and control resource list and the measurement and control requirements of the current satellite, wherein the measurement and control requirements comprise data timeliness requirements, channel consistency requirements and information data volume requirements;
Based on the effective time of measurement and control data and the transmission time of the satellite reaching the ground station, analyzing the time-efficiency requirement of the measurement and control data, based on the return frequency of the measurement and control data and the receiving frequency band of the ground station antenna, determining the channel consistency requirement in combination with the minimum quality requirement of data communication, and calculating the minimum data transmission time of the satellite based on the information data quantity requirement of the ground station and the data transmission speed of the satellite to the measurement and control data;
And taking the data timeliness, the channel consistency and the minimum data transmission time as sub-optimization targets, and comprehensively generating measurement and control optimization targets.
4. A method according to claim 3, wherein the data timeliness, the channel consistency and the minimum data transmission time are taken as sub-optimization targets, and the comprehensive generation measurement and control optimization targets are represented by the following formula:
；
Where x ij is a binary variable, indicating whether task i is allocated to channel j, tw ij indicates a transmission time period of task i on channel j, p ij indicates a power of task i on channel j, tw sp indicates a scheduling time period related to task scheduling, n indicates a total number of tasks, m indicates a total number of channels, MD 1 is a first optimization target, MD 2 is a second optimization target, MD 3 is a third optimization target, and indicates a total timeliness of tasks.
5. The method of claim 1, wherein the coefficient of conflict for each gene is read and the sum of the coefficients of conflict for all genes in the parent chromosome is calculated, and the fitness ratio for each gene is calculated as follows:
；
where R () represents the fitness ratio, Represents the kth gene in the chromosome, CC () represents the coefficient of collision of the genes,/>Represents the i-th gene in the chromosome, M represents the total number of genes.
6. Satellite measurement and control simulation system for implementing the satellite measurement and control simulation method according to any of the preceding claims 1-5, characterized in that it comprises:
The first unit is used for acquiring measurement and control resources, traversing the measurement and control resources, determining an idle time window corresponding to each measurement and control resource, determining the length of the idle time window, and generating a measurement and control resource list by combining the occupied load and the maximum occupied load of the medium-low orbit satellite on the measurement and control resources;
The second unit is used for analyzing the measurement and control requirements of the current satellite based on the measurement and control resource list, determining the data timeliness of the measurement and control requirements based on the effective time and the transmission time of measurement and control data, determining the channel consistency requirement based on the return frequency of the measurement and control data and the receiving frequency band of the ground station antenna, determining the minimum data transmission time of the satellite based on the information data quantity requirement and the data transmission speed, taking the data timeliness, the channel consistency and the minimum data transmission time as sub-optimization targets, and comprehensively generating the measurement and control optimization targets;
The third unit is used for generating an initial firefly group through a preset multi-target optimization algorithm based on the measurement and control optimization target, calculating relative brightness for each individual in the initial firefly group, updating the position based on the relative brightness, generating a child firefly through a sequence crossing operator based on a conflict coefficient, repeatedly generating until the preset iteration number is reached, and selecting an optimal individual as an optimal solution to obtain satellite measurement and control requirements, wherein the multi-target optimization algorithm is constructed based on an improved firefly algorithm.
7. An electronic device, comprising:
A processor;
A memory for storing processor-executable instructions;
Wherein the processor is configured to invoke the instructions stored in the memory to perform the method of any of claims 1 to 5.
8. A computer readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the method of any of claims 1 to 5.
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