CN114662228A - Excavator overflow valve buffer parameter optimization method based on particle swarm optimization - Google Patents
Excavator overflow valve buffer parameter optimization method based on particle swarm optimization Download PDFInfo
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Abstract
The application provides an excavator overflow valve buffer parameter optimization method based on a particle swarm algorithm, which comprises the following steps: constructing an overflow valve buffer system model, and acquiring pressure sensor data and flow sensor data of a rod cavity of the overflow valve buffer system model; constructing an overflow valve buffer system optimization model according to the pressure sensor data and the flow sensor data of the rod cavity, and constructing an overflow valve buffer ideal model; establishing a target function according to the difference value of the pressure value output by the overflow valve buffer system optimization model and the pressure value output by the overflow valve buffer ideal model; optimizing the target function based on a particle swarm algorithm to obtain a global optimal result of the particles; and adjusting the buffer parameters of the overflow valve of the excavator according to the global optimal result of the particles. An overflow valve buffering ideal model is obtained based on an overflow valve buffering system optimization model, and then optimization is performed by adopting a particle swarm optimization algorithm, so that the buffering characteristic of the overflow valve can be optimized.
Description
Technical Field
The invention relates to the technical field of optimization of overflow valve buffer parameters of excavators, in particular to an overflow valve buffer parameter optimization method of an excavator based on a particle swarm algorithm.
Background
An excavator is widely used as an engineering machine in multiple fields and industries. Relief valves are widely used as relief valves to limit the maximum pressure in a hydraulic circuit. Meanwhile, the overflow valve has a constant pressure function and is widely applied as a buffer valve in many engineering machinery buffer working conditions. The overflow valve is generally used as a buffer valve in two working conditions, one is used in a hydraulic cylinder oil return path, and the other is used in a motor oil return path. Under the impact load effect, the phenomenon that the pressure of a rod cavity of the hydraulic oil cylinder far exceeds the opening pressure of an overflow valve and the pressure of an oil return cavity of the hydraulic motor far exceeds the opening pressure of the overflow valve can occur, the two phenomena can cause great pressure impact of the rod cavity and the oil return cavity, the damage to elements is great, and the energy waste is caused.
Disclosure of Invention
The invention aims to overcome the technical defects and provide the method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization, so that the method has better reference value for parameter optimization, can improve the buffer characteristic of the overflow valve, further reduces the loss, prolongs the service life of the overflow valve and effectively reduces the energy consumption of the excavator.
In order to achieve the above technical objective, a first aspect of the present invention provides a method for optimizing buffer parameters of an overflow valve of an excavator based on a particle swarm algorithm, which includes the following steps:
constructing an overflow valve buffer system model, and acquiring pressure sensor data and flow sensor data of a rod cavity of the overflow valve buffer system model;
constructing an overflow valve buffer system optimization model according to the pressure sensor data of the rod cavity and the flow sensor data, and constructing an overflow valve buffer ideal model;
establishing a target function according to the difference value of the pressure value output by the overflow valve buffer system optimization model and the pressure value output by the overflow valve buffer ideal model;
optimizing the objective function based on a particle swarm algorithm to obtain a global optimal result of the particles;
and adjusting the buffer parameters of the overflow valve of the excavator according to the global optimal result of the particles.
Compared with the prior art, the invention has the beneficial effects that:
the method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization comprises the following steps of: constructing an overflow valve buffer system model, and acquiring pressure sensor data and flow sensor data of a rod cavity of the overflow valve buffer system model; constructing an overflow valve buffer system optimization model according to the pressure sensor data of the rod cavity and the flow sensor data, and constructing an overflow valve buffer ideal model; establishing a target function according to the difference value of the pressure value output by the overflow valve buffer system optimization model and the pressure value output by the overflow valve buffer ideal model; optimizing the objective function based on a particle swarm algorithm to obtain a global optimal result of the particles; and adjusting the buffer parameters of the overflow valve of the excavator according to the global optimal result of the particles.
According to the method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization algorithm, an ideal overflow valve buffer model is obtained based on an overflow valve buffer system optimization model, and then the particle swarm optimization algorithm is adopted for optimization, so that the instantaneous pressure of a rod cavity is reduced and is close to the opening pressure of the overflow valve, and the buffer characteristic of the overflow valve can be optimized. The method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization has good reference value for optimizing the parameters, can improve the buffer characteristic of the overflow valve, further reduces the loss, prolongs the service life of the overflow valve, and effectively reduces the energy consumption of the excavator.
According to some embodiments of the invention, the constructing of the relief valve buffer system model comprises the following steps:
and setting the overflow valve spring stiffness, the overflow valve pretightening force, the overflow valve mass block mass, the overflow valve spool drift diameter, the hydraulic cylinder piston rod diameter, the hydraulic cylinder stroke, the impacted mass block mass, the hydraulic oil elastic modulus and the hydraulic oil density of the overflow valve buffer system model to build the overflow valve buffer system model.
According to some embodiments of the invention, constructing an optimized model of a relief valve buffer system from the rod cavity pressure sensor data and the flow sensor data comprises:
calculating to obtain the opening pressure value of the overflow valve according to the mass of the impacted mass block, the impact speed of the mass block, the displacement of the piston, the diameter of the piston of the hydraulic cylinder and the diameter of the piston rod of the hydraulic cylinder;
and building an overflow valve buffer system optimization model according to the data of the rod cavity pressure sensor, the data of the flow sensor and the opening pressure value of the overflow valve.
According to some embodiments of the invention, the ideal model for buffering the overflow valve is constructed, and the method comprises the following steps:
and setting the safety margin of the piston stroke, the piston displacement, the mass of the impacted mass block, the impact speed of the mass block, the diameter of the piston of the hydraulic cylinder, the diameter of the piston rod of the hydraulic cylinder and the pressure duration of the rod cavity of the overflow valve buffer system optimization model to build the overflow valve buffer ideal model.
According to some embodiments of the invention, the setting of the piston stroke safety margin, the piston displacement, the mass of the impacted mass, the mass impact speed, the hydraulic cylinder piston diameter, the hydraulic cylinder piston rod diameter and the rod cavity pressure duration of the overflow valve buffer system optimization model comprises the steps of:
setting the safety margin of the piston stroke to be 0.2m to 0.3m, setting the piston displacement to be 1.8m to 2m, setting the mass of the impacted mass block to be 2000kg to 3000kg, setting the impact speed of the mass block to be 4m/s to 6m/s, setting the diameter of the piston of the hydraulic cylinder to be 0.09m to 0.1m, setting the diameter of the piston rod of the hydraulic cylinder to be 0.06m to 0.08m, and setting the pressure duration time of the rod cavity to be 0.9s to 1 s.
According to some embodiments of the invention, the buffering parameters of the excavator overflow valve comprise: the spring stiffness of the overflow valve, the pretightening force of the overflow valve and the drift diameter of the valve core of the overflow valve.
According to some embodiments of the present invention, the optimizing the objective function based on the particle swarm algorithm to obtain a global optimal result of the particle comprises:
initializing the speed and position of each particle;
calculating a fitness function value of each particle, and obtaining a global optimal position of each particle;
judging whether the particle swarm algorithm reaches the iteration times or not;
and if the particle swarm algorithm reaches the iteration times, outputting the global optimal result of all the particles according to the global optimal position of each particle.
According to some embodiments of the invention, after said determining whether the particle swarm algorithm reaches the number of iterations, comprising the steps of:
if the particle swarm algorithm does not reach the iteration times, updating the speed and the position of each particle;
calculating a fitness function value of each particle, and updating a historical optimal position of each particle;
and judging whether the particle swarm algorithm reaches the iteration times.
In a second aspect, a technical solution of the present invention provides an excavator overflow valve buffer parameter optimization system based on a particle swarm optimization, including: the processor executes the computer program to realize the method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization.
In a third aspect, the technical solution of the present invention provides a computer-readable storage medium, where computer-executable instructions are stored, and the computer-executable instructions are used to enable a computer to execute the above-mentioned method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
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The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which the abstract is intended to be fully consistent with one of the figures in which:
fig. 1 is a flowchart of an excavator overflow valve buffer parameter optimization method based on a particle swarm algorithm according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an overflow valve buffer system model of an excavator overflow valve buffer parameter optimization method based on a particle swarm optimization according to another embodiment of the present invention;
fig. 3 is a schematic diagram of an overflow valve buffer system optimization model of an excavator overflow valve buffer parameter optimization method based on a particle swarm optimization according to another embodiment of the present invention;
fig. 4 is a flowchart of an excavator overflow valve buffer parameter optimization method based on a particle swarm optimization according to another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It should be noted that although functional block divisions are provided in the system drawings and logical orders are shown in the flowcharts, in some cases, the steps shown and described may be performed in different orders than the block divisions in the systems or in the flowcharts. The terms first, second and the like in the description and in the claims, as well as in the drawings described above, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
The invention provides a particle swarm algorithm-based excavator overflow valve buffer parameter optimization method, which has better reference value for parameter optimization, can improve the buffer characteristic of an overflow valve, further reduces the loss, prolongs the service life of the overflow valve, and effectively reduces the energy consumption of an excavator.
The embodiments of the present invention will be further explained with reference to the drawings.
Referring to fig. 1 to 3, fig. 1 is a flowchart of an excavator overflow valve buffer parameter optimization method based on a particle swarm optimization according to an embodiment of the present invention; fig. 2 is a schematic diagram of an overflow valve buffer system model of an excavator overflow valve buffer parameter optimization method based on a particle swarm optimization according to another embodiment of the present invention; fig. 3 is a schematic diagram of an overflow valve buffer system optimization model of an excavator overflow valve buffer parameter optimization method based on a particle swarm optimization according to another embodiment of the present invention.
The components in fig. 2 are explained as follows: 1-a motor; 2-a fixed displacement pump; 3-a hydraulic cylinder; 4-impacted mass block; 5-an oil tank; 6-overflow valve HCD model; the components in fig. 3 are explained as follows: 1-a motor; 2-a fixed displacement pump; 3-a hydraulic cylinder; 4-impacted mass block; 5-a speed sensor; 6-transfer function; 7-a pressure sensor; 8-an oil tank; 9-relief valve HCD model.
The method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization comprises the steps S110 to S150.
Step S110, constructing an overflow valve buffer system model, and acquiring pressure sensor data and flow sensor data of a rod cavity of the overflow valve buffer system model;
step S120, constructing an overflow valve buffer system optimization model according to the pressure sensor data and the flow sensor data of the rod cavity, and constructing an overflow valve buffer ideal model;
step S130, establishing a target function according to the difference value of the pressure value output by the overflow valve buffer system optimization model and the pressure value output by the overflow valve buffer ideal model;
step S140, optimizing the objective function based on the particle swarm algorithm to obtain a global optimal result of the particles;
and S150, adjusting the buffer parameters of the overflow valve of the excavator according to the global optimal result of the particles.
In one embodiment, the method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization comprises the following steps of: constructing an overflow valve buffer system model, and acquiring rod cavity pressure sensor data and flow sensor data of the overflow valve buffer system model; constructing an overflow valve buffer system optimization model according to the pressure sensor data and the flow sensor data of the rod cavity, and constructing an overflow valve buffer ideal model; establishing a target function according to the difference value of the pressure value output by the overflow valve buffer system optimization model and the pressure value output by the overflow valve buffer ideal model; optimizing the target function based on a particle swarm algorithm to obtain a global optimal result of the particles; and adjusting the buffer parameters of the overflow valve of the excavator according to the global optimal result of the particles.
According to the method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization algorithm, the ideal buffer model of the overflow valve is obtained based on the optimized model of the overflow valve buffer system, and then the particle swarm optimization algorithm is adopted for optimization, so that the instantaneous pressure of the rod cavity is reduced, the instantaneous pressure is close to the opening pressure of the overflow valve, and the buffer characteristic of the overflow valve can be optimized. The method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization has good reference value for optimizing the parameters, can improve the buffer characteristic of the overflow valve, further reduces the loss, prolongs the service life of the overflow valve, and effectively reduces the energy consumption of the excavator.
In one embodiment, the method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization comprises the following steps of: constructing an overflow valve buffer system model, and acquiring pressure sensor data and flow sensor data of a rod cavity of the overflow valve buffer system model; constructing an overflow valve buffer system optimization model according to the pressure sensor data and the flow sensor data of the rod cavity, and constructing an overflow valve buffer ideal model; establishing a target function according to the difference value of the pressure value output by the overflow valve buffer system optimization model and the pressure value output by the overflow valve buffer ideal model; optimizing the target function based on a particle swarm algorithm to obtain a global optimal result of the particles; and adjusting the buffer parameters of the overflow valve of the excavator according to the global optimal result of the particles. Constructing a relief valve buffer system model, comprising the following steps: and (3) setting the overflow valve spring stiffness, the overflow valve pretightening force, the overflow valve mass block mass, the overflow valve spool drift diameter, the hydraulic cylinder piston rod diameter, the hydraulic cylinder stroke, the impacted mass block mass, the hydraulic oil elastic modulus and the hydraulic oil density of the overflow valve buffer system model to build the overflow valve buffer system model.
Referring to fig. 4, fig. 4 is a flowchart of an excavator overflow valve buffer parameter optimization method based on a particle swarm optimization according to another embodiment of the present invention.
The method for optimizing the relief valve buffer parameters of the excavator based on the particle swarm optimization comprises the steps S210 to S220.
Step S210, calculating to obtain the opening pressure value of the overflow valve according to the mass of the impacted mass block, the impact speed of the mass block, the displacement of the piston, the diameter of the piston of the hydraulic cylinder and the diameter of the piston rod of the hydraulic cylinder;
and S220, building an overflow valve buffer system optimization model according to the data of the rod cavity pressure sensor, the data of the flow sensor and the opening pressure value of the overflow valve.
In one embodiment, the method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization comprises the following steps of: constructing an overflow valve buffer system model, and acquiring rod cavity pressure sensor data and flow sensor data of the overflow valve buffer system model; constructing an overflow valve buffer system optimization model according to the pressure sensor data and the flow sensor data of the rod cavity, and constructing an overflow valve buffer ideal model; establishing a target function according to the difference value of the pressure value output by the overflow valve buffer system optimization model and the pressure value output by the overflow valve buffer ideal model; optimizing the target function based on a particle swarm algorithm to obtain a global optimal result of the particles; and adjusting the buffer parameters of the overflow valve of the excavator according to the global optimal result of the particles.
Constructing a relief valve buffer system model, comprising the following steps: and setting the overflow valve spring stiffness, the overflow valve pretightening force, the overflow valve mass block mass, the overflow valve core drift diameter, the hydraulic cylinder piston rod diameter, the hydraulic cylinder stroke, the impacted mass block mass, the hydraulic oil elastic modulus and the hydraulic oil density of the overflow valve buffer system model to build the overflow valve buffer system model. An overflow valve buffer system optimization model is built according to the data of the rod cavity pressure sensor and the data of the flow sensor, and the method comprises the following steps: calculating to obtain the opening pressure value of the overflow valve according to the mass of the impacted mass block, the impact speed of the mass block, the piston displacement, the diameter of the piston of the hydraulic cylinder and the diameter of the piston rod of the hydraulic cylinder; and constructing an overflow valve buffer system optimization model according to the data of the rod cavity pressure sensor, the data of the flow sensor and the opening pressure value of the overflow valve.
In one embodiment, the method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization comprises the following steps of: constructing an overflow valve buffer system model, and acquiring pressure sensor data and flow sensor data of a rod cavity of the overflow valve buffer system model; constructing an overflow valve buffer system optimization model according to the pressure sensor data and the flow sensor data of the rod cavity, and constructing an overflow valve buffer ideal model; establishing a target function according to the difference value of the pressure value output by the overflow valve buffer system optimization model and the pressure value output by the overflow valve buffer ideal model; optimizing the target function based on a particle swarm algorithm to obtain a global optimal result of the particles; and adjusting the buffer parameters of the overflow valve of the excavator according to the global optimal result of the particles.
Constructing a relief valve buffer system model, comprising the following steps: and (3) setting the overflow valve spring stiffness, the overflow valve pretightening force, the overflow valve mass block mass, the overflow valve spool drift diameter, the hydraulic cylinder piston rod diameter, the hydraulic cylinder stroke, the impacted mass block mass, the hydraulic oil elastic modulus and the hydraulic oil density of the overflow valve buffer system model to build the overflow valve buffer system model. An overflow valve buffer system optimization model is built according to rod cavity pressure sensor data and flow sensor data, and the method comprises the following steps: calculating to obtain the opening pressure value of the overflow valve according to the mass of the impacted mass block, the impact speed of the mass block, the piston displacement, the diameter of the piston of the hydraulic cylinder and the diameter of the piston rod of the hydraulic cylinder; and constructing an overflow valve buffer system optimization model according to the data of the rod cavity pressure sensor, the data of the flow sensor and the opening pressure value of the overflow valve.
And constructing an overflow valve buffer ideal model, comprising the following steps: the overflow valve buffer system is arranged to optimize the piston stroke safety margin, the piston displacement, the mass of the impacted mass block, the impact speed of the mass block, the diameter of a piston of a hydraulic cylinder, the diameter of a piston rod of the hydraulic cylinder and the pressure duration time of a rod cavity of the model so as to build an ideal overflow valve buffer model.
Setting the safety margin of the piston stroke to be 0.2m to 0.3m, setting the piston displacement to be 1.8m to 2m, setting the mass of the impacted mass block to be 2000kg to 3000kg, setting the impact speed of the mass block to be 4m/s to 6m/s, setting the diameter of the piston of the hydraulic cylinder to be 0.09m to 0.1m, setting the diameter of the piston rod of the hydraulic cylinder to be 0.06m to 0.08m, and setting the pressure duration time of the rod cavity to be 0.9s to 1 s.
The safety margin of the piston stroke can be set to be 0.3m, the piston displacement is set to be 2m, the mass of an impacted mass block is set to be 3000kg, the impact speed of the mass block is set to be 6m/s, the diameter of a piston of a hydraulic cylinder is set to be 0.1m, the diameter of a piston rod of the hydraulic cylinder is set to be 0.08m, and the pressure duration of a rod cavity is set to be 1 s.
The safety margin of the piston stroke is set to be 0.2m, the piston displacement is set to be 1.8m, the mass of the impacted mass block is set to be 2000kg, the impact speed of the mass block is set to be 4m/s, the diameter of a piston of a hydraulic cylinder is set to be 0.09m, the diameter of a piston rod of the hydraulic cylinder is set to be 0.06m, the pressure duration of a rod cavity is set to be 0.9s, and the overflow valve buffering ideal model built according to the parameters has a good effect.
In one embodiment, the method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization comprises the following steps of: constructing an overflow valve buffer system model, and acquiring pressure sensor data and flow sensor data of a rod cavity of the overflow valve buffer system model; constructing an overflow valve buffer system optimization model according to the pressure sensor data and the flow sensor data of the rod cavity, and constructing an overflow valve buffer ideal model; establishing a target function according to the difference value of the pressure value output by the overflow valve buffer system optimization model and the pressure value output by the overflow valve buffer ideal model; optimizing the target function based on a particle swarm algorithm to obtain a global optimal result of the particles; and adjusting the buffer parameters of the overflow valve of the excavator according to the global optimal result of the particles. The buffer parameters of the overflow valve of the excavator comprise: the spring stiffness of the overflow valve, the pretightening force of the overflow valve and the drift diameter of the valve core of the overflow valve.
In one embodiment, the method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization comprises the following steps of: constructing an overflow valve buffer system model, and acquiring rod cavity pressure sensor data and flow sensor data of the overflow valve buffer system model; constructing an overflow valve buffer system optimization model according to the pressure sensor data and the flow sensor data of the rod cavity, and constructing an overflow valve buffer ideal model; establishing a target function according to the difference value of the pressure value output by the overflow valve buffer system optimization model and the pressure value output by the overflow valve buffer ideal model; optimizing the target function based on a particle swarm algorithm to obtain a global optimal result of the particles; and adjusting the buffer parameters of the overflow valve of the excavator according to the global optimal result of the particles. Optimizing the objective function based on the particle swarm optimization to obtain a global optimal result of the particles, wherein the method comprises the following steps of: initializing the speed and position of each particle; calculating a fitness function value of each particle, and obtaining a global optimal position of each particle; judging whether the particle swarm algorithm reaches the iteration times; and if the particle swarm algorithm reaches the iteration times, outputting the global optimal result of all the particles according to the global optimal position of each particle.
In one embodiment, the method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization comprises the following steps of: constructing an overflow valve buffer system model, and acquiring pressure sensor data and flow sensor data of a rod cavity of the overflow valve buffer system model; constructing an overflow valve buffer system optimization model according to the pressure sensor data and the flow sensor data of the rod cavity, and constructing an overflow valve buffer ideal model; establishing a target function according to the difference value of the pressure value output by the overflow valve buffer system optimization model and the pressure value output by the overflow valve buffer ideal model; optimizing the target function based on a particle swarm algorithm to obtain a global optimal result of the particles; and adjusting the buffer parameters of the overflow valve of the excavator according to the global optimal result of the particles.
Optimizing the objective function based on the particle swarm algorithm to obtain the global optimal result of the particles, comprising the following steps: initializing the speed and position of each particle; calculating a fitness function value of each particle, and obtaining a global optimal position of each particle; judging whether the particle swarm algorithm reaches the iteration times; and if the particle swarm algorithm reaches the iteration times, outputting the global optimal result of all the particles according to the global optimal position of each particle. If the particle swarm algorithm does not reach the iteration times, updating the speed and the position of each particle; calculating a fitness function value of each particle, and updating a historical optimal position of each particle; and judging whether the particle swarm algorithm reaches the iteration times.
In one embodiment, the method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization comprises the following steps of:
step S1: building a hydraulic cylinder external overflow valve buffer system model, and setting the following basic parameters: relief valve spring stiffness K, relief valve pretightening force F, relief valve mass m and relief valve core drift diameter d1The method comprises the following steps of (1) collecting rod cavity pressure sensor data and flow sensor data, wherein the diameter D of a hydraulic cylinder piston, the diameter D of a hydraulic cylinder piston rod, the stroke s of a hydraulic cylinder, the mass M (kg) of an impacted mass block, the elastic modulus e of hydraulic oil and the density rho of the hydraulic oil;
step S2: the desired buffer characteristics are further determined based on the data obtained in step S1. Because the overflow valve buffering process satisfies the energy conservation formula, as follows:
therefore, the deformation of the relief valve is used for representing the effective action area of the piston by the diameter of the piston and the diameter of the piston rod to obtain the opening pressure value of the relief valve, and the formula is as follows:
in the formula, x0Is the piston displacement; a is the effective acting area of the piston; p is the rod cavity pressure; m is the mass of the impacted mass block; v. of0The mass block impact speed; d is the diameter of the piston; d is the diameter of the piston rod; the overflow valve buffering dynamic characteristic is a second-order model, a damping coefficient and a natural frequency are set according to engineering experience, and an overflow valve buffering system optimization model is built to obtain an ideal model.
Step S3: based on the ideal model and the overflow valve buffer system optimization model obtained in the step S2, optimizing by using a particle swarm optimization with the absolute value of the difference between the pressure actually output by the overflow valve buffer system optimization model and the pressure output by the ideal model as a target function;
step S4: based on the objective function obtained in step S3, the dimension, the number of particles, the number of iterations, the maximum value, the velocity range and the position range of the particles are determined. Initializing the speed and position of each particle, and calculating a fitness function value to obtain a historical optimal position of the particle and a global optimal position of a group; the update is performed using the formula shown below:
vi＝ω*vi+c1*rand*(pBesti-xi)+c2*rand*(gBesti-xi)
xi＝xi+vi
updating the speed and position of each particle, wherein i is 1,2 … N, N is the total number of particles, viIs the velocity, x, of the particleiIs the current position of the particle, c1And c2The range is a random number between 0 and 1 as a learning factor, and omega is an inertia weight; evaluating a fitness function value of the particle, updating a historical optimal position and a global optimal position of the particle, and then iterating until the iteration times are reached;
step S5: adjusting relevant parameters of the overflow valve, such as the spring stiffness of the overflow valve, the pretightening force of the overflow valve and the drift diameter of a valve core of the overflow valve, based on the optimization result obtained in the step S4;
the particle swarm optimization algorithm is as follows:
step 1, randomly initializing the speed and position of each particle in a search space, calculating a fitness function value, and obtaining a historical optimal position of the particle and a global optimal position of a population;
and 2, updating the speed and the position of each particle according to the historical optimal position and the global optimal position of the particle. Meanwhile, reasonable adjustment is needed for some out-of-range positions;
and 4, outputting a global optimal result and ending the program if the ending condition is met, otherwise, repeating the steps 1 to 3.
The invention also provides an excavator overflow valve buffer parameter optimization system based on the particle swarm optimization, which comprises the following steps: the device comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein when the processor executes the computer program, the method for optimizing the overflow valve buffer parameters of the excavator based on the particle swarm optimization is realized.
The processor and memory may be connected by a bus or other means.
The memory, as a non-transitory computer-readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer-executable programs. Further, the memory may include high speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory located remotely from the processor, and these remote memories may be connected to the processor through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
It should be noted that the system for optimizing buffering parameters of an overflow valve of an excavator based on a particle swarm algorithm in this embodiment may include a service processing module, an edge database, a server version information register, and a data synchronization module, and when a processor executes a computer program, the method for optimizing buffering parameters of an overflow valve of an excavator based on a particle swarm algorithm as applied to the system for optimizing buffering parameters of an overflow valve of an excavator based on a particle swarm algorithm is implemented.
The above described embodiments of the apparatus are merely illustrative, wherein the units illustrated as separate components may or may not be physically separate, may be located in one place, or may be distributed over a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
Furthermore, an embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are executed by a processor or a controller, for example, by a processor in the foregoing terminal embodiment, and can make the processor execute the excavator overflow valve buffer parameter optimization method based on the particle swarm optimization in the foregoing embodiment.
One of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
While the preferred embodiments of the present invention have been described in detail, it will be understood by those skilled in the art that the foregoing and various other changes, omissions and deviations in the form and detail thereof may be made without departing from the scope of this invention.
The above-described embodiments of the present invention should not be construed as limiting the scope of the present invention. Any other corresponding changes and modifications made according to the technical idea of the present invention should be included in the protection scope of the claims of the present invention.
Claims (10)
1. A particle swarm algorithm-based method for optimizing buffer parameters of an overflow valve of an excavator is characterized by comprising the following steps of:
constructing an overflow valve buffer system model, and acquiring pressure sensor data and flow sensor data of a rod cavity of the overflow valve buffer system model;
constructing an overflow valve buffer system optimization model according to the pressure sensor data of the rod cavity and the flow sensor data, and constructing an overflow valve buffer ideal model;
establishing a target function according to the difference value of the pressure value output by the overflow valve buffer system optimization model and the pressure value output by the overflow valve buffer ideal model;
optimizing the objective function based on a particle swarm algorithm to obtain a global optimal result of the particles;
and adjusting the buffer parameters of the overflow valve of the excavator according to the global optimal result of the particles.
2. The method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization according to claim 1, wherein the establishment of the overflow valve buffer system model comprises the following steps:
and setting the overflow valve spring stiffness, the overflow valve pretightening force, the overflow valve mass block mass, the overflow valve core drift diameter, the hydraulic cylinder piston rod diameter, the hydraulic cylinder stroke, the impacted mass block mass, the hydraulic oil elastic modulus and the hydraulic oil density of the overflow valve buffer system model to build the overflow valve buffer system model.
3. The method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization algorithm, according to the claim 2, is characterized in that an overflow valve buffer system optimization model is built according to the rod cavity pressure sensor data and the flow sensor data, and comprises the following steps:
calculating to obtain an opening pressure value of the overflow valve according to the mass of the impacted mass block, the impact speed of the mass block, the piston displacement, the diameter of the piston of the hydraulic cylinder and the diameter of the piston rod of the hydraulic cylinder;
and building an overflow valve buffer system optimization model according to the data of the rod cavity pressure sensor, the data of the flow sensor and the opening pressure value of the overflow valve.
4. The method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization algorithm, according to the claim 3, is characterized in that the ideal model of the overflow valve buffer is built, and comprises the following steps:
and setting the safety margin of the piston stroke, the piston displacement, the mass of the impacted mass block, the impact speed of the mass block, the diameter of the piston of the hydraulic cylinder, the diameter of the piston rod of the hydraulic cylinder and the pressure duration of the rod cavity of the overflow valve buffer system optimization model to build the overflow valve buffer ideal model.
5. The method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization algorithm, according to the claim 4, wherein the setting of the piston stroke safety margin, the piston displacement, the mass of the impacted mass, the impact speed of the mass, the diameter of the piston of the hydraulic cylinder, the diameter of the piston rod of the hydraulic cylinder and the pressure duration of the rod cavity of the overflow valve buffer system optimization model comprises the following steps:
setting the safety margin of the piston stroke to be 0.2m to 0.3m, setting the piston displacement to be 1.8m to 2m, setting the mass of the impacted mass block to be 2000kg to 3000kg, setting the impact speed of the mass block to be 4m/s to 6m/s, setting the diameter of the piston of the hydraulic cylinder to be 0.09m to 0.1m, setting the diameter of the piston rod of the hydraulic cylinder to be 0.06m to 0.08m, and setting the pressure duration time of the rod cavity to be 0.9s to 1 s.
6. The method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization algorithm according to claim 1, wherein the buffer parameters of the overflow valve of the excavator comprise: the spring stiffness of the overflow valve, the pretightening force of the overflow valve and the drift diameter of the valve core of the overflow valve.
7. The method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization according to claim 1, wherein the optimization of the objective function based on the particle swarm optimization to obtain the global optimal result of the particles comprises the following steps:
initializing the speed and position of each particle;
calculating a fitness function value of each particle, and obtaining a global optimal position of each particle;
judging whether the particle swarm algorithm reaches the iteration times or not;
and if the particle swarm algorithm reaches the iteration times, outputting the global optimal result of all the particles according to the global optimal position of each particle.
8. The method for optimizing the buffer parameters of the overflow valve of the excavator based on the particle swarm optimization algorithm according to claim 7, wherein after the step of judging whether the particle swarm optimization algorithm reaches the iteration number, the method comprises the following steps:
if the particle swarm algorithm does not reach the iteration times, updating the speed and the position of each particle;
calculating a fitness function value of each particle, and updating a historical optimal position of each particle;
and judging whether the particle swarm algorithm reaches the iteration times.
9. The utility model provides an excavator overflow valve buffer parameter optimization system based on particle swarm optimization, its characterized in that includes: the device comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the method for optimizing the overflow valve buffer parameters of the excavator based on the particle swarm algorithm according to any one of claims 1 to 8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores computer-executable instructions for causing a computer to execute the particle swarm algorithm-based excavator overflow valve buffer parameter optimization method according to any one of claims 1 to 8.
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| CN116522672A (en) * | 2023-05-19 | 2023-08-01 | 中国人民解放军海军工程大学 | Optimization method of oil cylinder buffer mechanism |
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