CN116306010A - Power consumption data characteristic analysis method and system for amplifier - Google Patents
Power consumption data characteristic analysis method and system for amplifier Download PDFInfo
- Publication number
- CN116306010A CN116306010A CN202310364220.1A CN202310364220A CN116306010A CN 116306010 A CN116306010 A CN 116306010A CN 202310364220 A CN202310364220 A CN 202310364220A CN 116306010 A CN116306010 A CN 116306010A
- Authority
- CN
- China
- Prior art keywords
- amplifier
- power consumption
- data
- simulation
- characteristic
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 54
- 238000004088 simulation Methods 0.000 claims abstract description 134
- 238000011156 evaluation Methods 0.000 claims abstract description 78
- 238000000034 method Methods 0.000 claims abstract description 22
- 230000003068 static effect Effects 0.000 claims description 11
- 238000013524 data verification Methods 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 7
- 238000005457 optimization Methods 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 5
- 230000000737 periodic effect Effects 0.000 claims description 4
- 230000000694 effects Effects 0.000 abstract description 5
- 238000012545 processing Methods 0.000 abstract description 2
- 238000007405 data analysis Methods 0.000 abstract 1
- 238000013461 design Methods 0.000 description 7
- 230000008859 change Effects 0.000 description 4
- 230000003321 amplification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 238000003199 nucleic acid amplification method Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03F—AMPLIFIERS
- H03F1/00—Details of amplifiers with only discharge tubes, only semiconductor devices or only unspecified devices as amplifying elements
- H03F1/02—Modifications of amplifiers to raise the efficiency, e.g. gliding Class A stages, use of an auxiliary oscillation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/06—Power analysis or power optimisation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention provides a method and a system for analyzing power consumption data characteristics of an amplifier, which relate to the technical field of data processing, and the method comprises the following steps: determining a power consumption factor; obtaining a resistance value of a load network; an amplifier circuit that generates low power consumption characteristics; an amplifier circuit based on the low power consumption characteristic, wherein a plurality of amplifier parameter evaluation tools are used for carrying out analog simulation on the amplifier to obtain amplifier simulation data; evaluating feasibility of the amplifier power consumption data characteristic based on the amplifier simulation data; according to the feasibility, the power consumption data characteristics of the amplifier are analyzed to obtain characteristic analysis results, and the power consumption of the amplifier is optimized according to the characteristic analysis results, so that the technical problems of insufficient performance and higher power consumption of the amplifier caused by inaccurate power consumption data analysis of the amplifier in the prior art are solved, and the effects of reducing the power consumption and improving the performance of the amplifier are achieved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a power consumption data characteristic analysis method and system for an amplifier.
Background
An operational amplifier is a circuit unit with a very high amplification factor. In practical circuits, a certain functional module is usually formed by combining a feedback network, which is an amplifier with a special coupling circuit and feedback, and the output signal of the amplifier can be the result of mathematical operations such as addition, subtraction or differentiation, integration and the like of the input signal. In recent years, the popularization of battery-powered electronic products has made power consumption an increasing importance of analog circuit designers, and how to use low-power operational amplifiers for system design has become an important research topic.
At present, the prior art has the technical problems that the power consumption data of the amplifier is not accurately analyzed, and the performance of the amplifier is insufficient and the power consumption is high.
Disclosure of Invention
The invention provides a power consumption data characteristic analysis method and a power consumption data characteristic analysis system for an amplifier, which are used for solving the technical problems that in the prior art, the power consumption data of the amplifier is not accurately analyzed, and the performance of the amplifier is insufficient and the power consumption is high.
According to a first aspect of the present invention, there is provided a power consumption data characteristic analysis method for an amplifier, comprising: determining power consumption factors according to the power consumption of the feedback network module and the amplifier; matching the parameters of the amplifier with the total average power of the power consumption factors to obtain the resistance value of the load network; generating an amplifier circuit with low power consumption characteristics by adjusting the resistance value of the load network; an amplifier circuit based on the low power consumption characteristic, wherein a plurality of amplifier parameter evaluation tools are used for carrying out analog simulation on the amplifier to obtain amplifier simulation data; evaluating feasibility of the amplifier power consumption data characteristic based on the amplifier simulation data; and analyzing the power consumption data characteristics of the amplifier according to the feasibility to obtain characteristic analysis results, and optimizing the power consumption of the amplifier according to the characteristic analysis results.
According to a second aspect of the present invention, there is provided a power consumption data characteristic analysis system for an amplifier, comprising: the power consumption factor determining module is used for determining power consumption factors according to the power consumption of the feedback network module and the amplifier; the power matching module is used for matching the parameters of the amplifier with the total average power of the power consumption factors to obtain the resistance value of the load network; the amplifier circuit generation module is used for generating an amplifier circuit with low power consumption characteristics by adjusting the resistance value of the load network; the analog simulation module is used for carrying out analog simulation on the amplifier by using a plurality of amplifier parameter evaluation tools based on the amplifier circuit with the low power consumption characteristic to obtain amplifier simulation data; the feasibility assessment module is used for assessing the feasibility of the power consumption data characteristics of the amplifier based on the amplifier simulation data; and the power consumption optimizing module is used for analyzing the power consumption data characteristics of the amplifier according to the feasibility, obtaining characteristic analysis results and optimizing the power consumption of the amplifier according to the characteristic analysis results.
According to the power consumption data characteristic analysis method for the amplifier, the power consumption factors are determined according to the power consumption of the feedback network module and the amplifier, the resistance value of the load network is obtained by matching the parameters of the amplifier with the total average power of the power consumption factors, the resistance value of the load network is adjusted to generate the amplifier circuit with low power consumption characteristics, the amplifier is simulated by using a plurality of amplifier parameter evaluation tools based on the amplifier circuit with low power consumption characteristics, and the simulation results of the plurality of amplifier parameter evaluation tools are verified, so that the accuracy of the simulation results can be improved, and the subsequent accurate analysis of the power consumption data characteristics of the amplifier is facilitated. And further evaluating the feasibility of the power consumption data characteristics of the amplifier based on the simulation data of the amplifier, analyzing the power consumption data characteristics of the amplifier according to the feasibility, and optimizing the power consumption of the amplifier according to the characteristic analysis result so as to achieve the technical effects of reducing the power consumption and improving the performance of the amplifier.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the following brief description will be given of the drawings used in the description of the embodiments or the prior art, it being obvious that the drawings in the description below are only exemplary and that other drawings can be obtained from the drawings provided without the inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for analyzing power consumption data characteristics of an amplifier according to an embodiment of the present invention;
FIG. 2 is a flow chart of obtaining simulation data of an amplifier according to an embodiment of the present invention;
FIG. 3 is a flow chart of the evaluation of the feasibility of the power consumption data characteristic of the amplifier according to the embodiment of the invention;
fig. 4 is a schematic structural diagram of a power consumption data characteristic analysis system for an amplifier according to an embodiment of the present invention.
Reference numerals illustrate: the power consumption factor determining module 11, the power matching module 12, the amplifier circuit generating module 13, the analog simulation module 14, the feasibility evaluating module 15 and the power consumption optimizing module 16.
Detailed Description
Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, in which various details of the embodiments of the present invention are included to facilitate understanding, and are to be considered merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
In order to solve the technical problems of insufficient performance and higher power consumption of the amplifier caused by inaccurate analysis of power consumption data of the amplifier in the prior art, the inventor of the invention obtains the power consumption data characteristic analysis method and system for the amplifier through creative labor.
Example 1
Fig. 1 is a diagram of a power consumption data characteristic analysis method for an amplifier, where the method is applied to a power consumption data characteristic analysis system, and the power consumption data characteristic analysis system is communicatively connected to a feedback network module, as shown in fig. 1, and the method includes:
step S100: determining power consumption factors according to the power consumption of the feedback network module and the amplifier;
the embodiment of the invention provides a power consumption data characteristic analysis method for an amplifier, wherein the amplifier is called an operational amplifier, is a circuit unit with very high amplification factor, and is usually combined with a feedback network to form a certain functional module in an actual circuit. The power consumption data characteristic analysis system is a system platform for performing power consumption data characteristic analysis of the amplifier, and the power consumption data characteristic analysis method for the amplifier provided by the embodiment of the invention is executed by the power consumption data characteristic analysis system. The power consumption data characteristic analysis system is in communication connection with the feedback network module, and can realize interactive transmission of information.
Specifically, according to the power consumption of the feedback network module and the amplifier, the relation between the resistance value of the feedback network and the power consumption is determined, so that the power consumption factors are determined, and the power consumption factors are as follows: the static power is the power required to keep the amplifier on, the output power is the power consumed by the operational amplifier output stage when driving the load, and the load power is the power consumed by the load itself.
Step S200: matching the parameters of the amplifier with the total average power of the power consumption factors to obtain the resistance value of the load network;
the step S200 of the embodiment of the present invention further includes:
step S210: extracting static power, operational amplifier output power and load power based on the power factor;
step S220: calculating total average power of the static power, the operational amplifier output power and the load power;
step S230: the total average power calculation formula is as follows:
wherein ,
for the total average power, V is the supply voltage, +.>
For quiescent current +.>
For dc offset of the output signal +.>
For outputting the amplitude of the signal +.>
Is the total load resistance of the operational amplifier.
Step S240 is further performed after step S230 in the embodiment of the present invention, where step S240 includes:
step S241: determining resistance values of different feedback components through a plurality of predetermined components output by loads;
step S242: bringing the different feedback component resistance values into the following formula:
wherein ,
is the resistance value of the load network, < >>
Is the total load resistance of the operational amplifier, +.>
For different values of feedback component resistance.
Specifically, the amplifier parameters include, but are not limited to, the following: a common-mode input resistance, the parameter representing a ratio of a range of input common-mode voltages to a variation of bias currents within the range when the operational amplifier is operating in the linear region; a differential mode input resistor, the parameter representing the ratio of the amount of change in input voltage to the corresponding amount of change in input current, the change in voltage resulting in a change in current, the other input terminating a fixed common mode voltage when measured at one input; the output impedance refers to the internal equivalent small signal impedance of the output end when the operational amplifier works in a linear region; power consumption, which is the static power consumed by a device at a given supply voltage, is generally defined as under no-load conditions. By matching the amplifier parameters to the total average power, the data in agreement is recorded as the resistance value of the load network.
Specifically, the power factors include static power, output power and load power, the static power, the output power of the operational amplifier and the load power are extracted according to the power factors, and the total average power of the static power, the output power of the operational amplifier and the load power is further calculated, wherein the total average power calculation formula is as follows:
wherein ,
for the total average power, V is the supply voltage, +.>
For quiescent current +.>
For dc offset of the output signal +.>
For outputting the amplitude of the signal +.>
The method comprises the steps of obtaining total average power through a total average power calculation formula for total load resistance, power supply voltage, quiescent current, direct current offset of an output signal and amplitude of the output signal of an operational amplifier, further determining different feedback component resistance values through a plurality of predetermined components output by loads, and bringing the different feedback component resistance values into the following formula:
wherein ,
is the resistance value of the load network, < >>
Is the total load resistance of the operational amplifier, +.>
and />
And calculating to obtain the resistance value of the load network according to the formula for different resistance values of the feedback components. Total load resistance of the operational amplifier. The matching of the amplifier parameters to the total average power, the consistent data is noted as the resistance value of the load network.
Step S300: generating an amplifier circuit with low power consumption characteristics by adjusting the resistance value of the load network;
specifically, by reducing the resistance of the load network, using a low power operational amplifier for system design, an amplifier circuit with low power consumption characteristics is obtained, for example, a battery powered sensor generating 0 to 100mV analog signals at 1kHz requires 30V/V signal amplification, the two amplifier designs are compared, the first amplifier uses a typical 3.3V power supply, a resistor of a size that does not take into account energy saving, and the design of the TLV9002 general operational amplifier uses a TLV9042 operational amplifier with larger resistance and lower power consumption, the noise spectral density is less than one third of the wideband noise of the amplifier when the TLV9042 inverting input equivalent resistance is about 9.667kΩ, to ensure that the noise of the operational amplifier dominates any noise generated by the resistor. The TLV9002 design consumes four times more power than the TLV9042 design, which is a result of the higher amplifier quiescent current, and also shows that the above example has two techniques of increasing the resistance value and selecting an operational amplifier with lower quiescent current, based on which an amplifier circuit with low power consumption characteristics can be obtained by decreasing the resistance value of the load network.
Step S400: an amplifier circuit based on the low power consumption characteristic, wherein a plurality of amplifier parameter evaluation tools are used for carrying out analog simulation on the amplifier to obtain amplifier simulation data;
as shown in fig. 2, step S400 of the embodiment of the present invention further includes:
step S410: the amplifier circuit is based on the low-power consumption characteristic, and analog simulation is carried out on the amplifier to obtain amplifier simulation data;
step S420: using a first amplifier parameter evaluation tool to perform analog simulation on the amplifier to obtain first simulation data;
step S430: using a second amplifier parameter evaluation tool to perform analog simulation on the amplifier to obtain second simulation data;
step S440: and carrying out data verification on the first simulation data and the second simulation data to determine the simulation data of the amplifier.
The step S440 of the embodiment of the present invention further includes:
step S441: the first simulation data and the tool source corresponding to the second simulation data are subjected to simulation data matching among different sources to obtain a coincident simulation data set and a single simulation data set;
step S442: determining an accurate value range through simulation data characteristics and source characteristics of the single simulation data set;
step S443: and screening the single simulation data set based on the accurate value range, and determining the amplifier simulation data according to the screened single simulation data set and the coincident simulation data set to complete data verification.
Specifically, the plurality of amplifier parameter assessment tools includes a first amplifier parameter assessment tool and a second amplifier parameter assessment tool, such as: the ADIsimOpAmp tool may evaluate the voltage feedback op amp and troubleshoot. And simulating the amplifier circuit with the low power consumption characteristic through the first amplifier parameter evaluation tool and the second amplifier parameter evaluation tool to obtain amplifier simulation data.
Specifically, the amplifier circuit based on the low power consumption characteristic performs the analog simulation of the circuit of the amplifier by the analog circuit simulation software (such as proteous), and the amplifier simulation circuit and the circuit characteristic curve are obtained as the amplifier simulation data. Further, the first amplifier parameter evaluation tool is used for carrying out analog simulation on the amplifier to obtain first simulation data, the second amplifier parameter evaluation tool is used for carrying out analog simulation on the amplifier to obtain second simulation data, and it is required to be noted that the first amplifier parameter evaluation tool and the second amplifier parameter evaluation tool can be selected according to actual conditions, for example, the ADIsimap Op tool can evaluate a voltage feedback type operational amplifier and remove faults. The technical effect of ensuring the accuracy of the analog simulation is achieved by utilizing a plurality of amplifier parameter evaluation tools to perform the analog simulation on the amplifiers. And further, performing data verification on the first simulation data and the second simulation data to determine the simulation data of the amplifier.
The first simulation data and the second simulation data are subjected to data verification, and the process of determining the simulation data of the amplifier is as follows: and matching simulation data among different sources according to tool sources corresponding to the first simulation data and the second simulation data to obtain a superposition simulation data set and a single simulation data set, wherein the superposition simulation data set comprises data simulated by a first amplifier parameter evaluation tool and a second amplifier parameter evaluation tool, and the single simulation data set comprises data simulated by any one of the first amplifier parameter evaluation tool and the second amplifier parameter evaluation tool. The accurate value range is determined through the simulation data characteristics and the source characteristics of the single simulation data set, the accurate threshold refers to the accuracy of the single simulation data set for evaluating the parameters of the amplifier, for example, the accuracy of the first amplifier parameter evaluating tool in terms of evaluating voltage is high, and the single simulation data set is determined according to the accuracy of the amplifier parameter evaluating tool with high accuracy. The single simulation data set is further screened based on the accurate value range, data verification is completed according to the screened single simulation data set and the coincident simulation data set, and the amplifier simulation data are determined, for example, when the accuracy of the evaluation voltage is that the accuracy of the first amplifier parameter evaluation tool is high, but the first evaluation result of the first amplifier parameter evaluation tool is greatly different from the second evaluation result of the second amplifier parameter evaluation tool, for example, the first evaluation result shows that the evaluation voltage is 5V, the second evaluation result shows that the evaluation voltage is 10V, the second evaluation result is inaccurate, the second is not used as evaluation reference data, the inaccurate data are screened, the inaccurate data are removed, and the rest data are used as the amplifier simulation data. By screening the simulation data, the accuracy of the simulation of the amplifier circuit is improved.
Step S500: evaluating feasibility of the amplifier power consumption data characteristic based on the amplifier simulation data;
as shown in fig. 3, step S500 of the embodiment of the present invention further includes:
step S510: setting an amplifier power consumption data characteristic evaluation period;
step S520: the periodic data acquisition of the power consumption data characteristics of the amplifier is carried out through the power consumption data characteristic evaluation period of the amplifier, and an acquisition result is obtained;
step S530: obtaining an expected amplifier power consumption data characteristic evaluation result;
step S540: comparing the acquisition result through the expected amplifier power consumption data characteristic evaluation result to obtain an amplifier power consumption data characteristic comparison result;
step S550: and generating amplifier power consumption data characteristic feedback data according to the amplifier power consumption data characteristic comparison result, and evaluating the feasibility of the power consumption data characteristic of the amplifier according to the amplifier power consumption data characteristic feedback data.
Specifically, the power consumption data characteristic evaluation period of the amplifier is set according to the actual situation, the power consumption data characteristic evaluation period of the amplifier refers to the estimated time interval, the period data acquisition of the power consumption data characteristic of the amplifier is carried out in the corresponding time through the power consumption data characteristic evaluation period of the amplifier, the acquisition result is obtained, and the acquisition result refers to the actual power consumption characteristic data of the amplifier. And obtaining an expected amplifier power consumption data characteristic evaluation result, wherein the expected amplifier power consumption data characteristic evaluation result can be understood as the amplifier power consumption data characteristic in an ideal state and can be set according to actual conditions. Further comparing the expected amplifier power consumption data characteristic evaluation result with the acquisition result, determining whether the acquisition result is within the range of the expected amplifier power consumption data characteristic evaluation result to be used as an amplifier power consumption data characteristic comparison result, and generating amplifier power consumption data characteristic feedback data according to the amplifier power consumption data characteristic comparison result.
Step S600: and analyzing the power consumption data characteristics of the amplifier according to the feasibility to obtain characteristic analysis results, and optimizing the power consumption of the amplifier according to the characteristic analysis results.
The step S600 of the embodiment of the present invention further includes:
step S610: performing power consumption supervision on the power consumption of the amplifier according to the characteristic analysis result to obtain a real-time supervision result;
step S620: performing power consumption evaluation on the power consumption of the amplifier based on the real-time supervision result to obtain an amplifier power consumption evaluation result;
step S630: and carrying out power consumption optimization on the power consumption of the amplifier according to the power consumption evaluation result of the amplifier.
Specifically, the power consumption data characteristics of the amplifier are analyzed according to feasibility, and a characteristic analysis result is obtained, wherein the characteristic analysis result refers to whether the current power consumption data of the amplifier is in an expected range, the power consumption optimization is that the amplifier tends to an ideal state, the ideal state of the operational amplifier is extremely large input resistance and high input impedance, the input end flows in a current close to 0, the signal source current is hardly taken, and a concept of 'virtual break' is obtained based on the voltage control characteristic, that is, when the operational amplifier is analyzed to be in a linear state, the two input ends can be regarded as equivalent open circuits, in colloquially, the current flowing into the input end of the integrated operational amplifier is zero under ideal conditions, because the input resistance of the ideal operational amplifier is infinitely large, as if the operational amplifier is open-circuited between the two input ends, but the operational amplifier is not open-circuited in fact. The extremely small output resistor has the characteristics of no load selection (within the load capacity) and adaptation to any load, and the impedance of the subsequent load circuit cannot influence the output voltage. The power consumption optimization is to make the resistive region ideal, and the power consumption is more optimal as the resistance tends to be ideal.
Specifically, according to the characteristic analysis result, power consumption supervision is carried out on the power consumption of the amplifier, whether current power consumption data of the amplifier is in an expected range is determined, the current power consumption data of the amplifier is used as a real-time supervision result, power consumption evaluation is carried out on the power consumption of the amplifier based on the real-time supervision result, if the power consumption data of the amplifier is in the expected range, the power consumption evaluation result of the amplifier is larger, otherwise, if the power consumption data of the amplifier is not in the expected range, the power consumption evaluation result of the amplifier is smaller, according to the power consumption evaluation result of the amplifier, if the power consumption evaluation result of the amplifier is smaller, the resistor area is made to be ideal by adjusting the resistor, and when the resistor tends to be more ideal, the power consumption is more excellent, so that power consumption optimization of the amplifier is realized, the power consumption of the amplifier is reduced, and the performance of the amplifier is improved.
Based on the analysis, the invention provides a power consumption data characteristic analysis method for an amplifier, in the embodiment, according to the power consumption of a feedback network module and the amplifier, the power consumption factors are determined, the resistance value of a load network is obtained by matching the parameters of the amplifier with the total average power of the power consumption factors, the resistance value of the load network is adjusted to generate an amplifier circuit with low power consumption characteristics, based on the amplifier circuit with low power consumption characteristics, a plurality of amplifier parameter evaluation tools are used for carrying out simulation on the amplifier, and the simulation results of the plurality of amplifier parameter evaluation tools are verified, so that the accuracy of the simulation results can be improved, and the subsequent technical effect of accurately analyzing the power consumption data characteristics of the amplifier is facilitated. And further evaluating the feasibility of the power consumption data characteristics of the amplifier based on the simulation data of the amplifier, analyzing the power consumption data characteristics of the amplifier according to the feasibility, and optimizing the power consumption of the amplifier according to the characteristic analysis result so as to achieve the technical effects of reducing the power consumption and improving the performance of the amplifier.
Example two
Based on the same inventive concept as the power consumption data characteristic analysis method for an amplifier in the foregoing embodiments, as shown in fig. 4, the present invention further provides a power consumption data characteristic analysis system for an amplifier, the system being communicatively connected to a feedback network module, the system comprising:
the power consumption factor determining module 11 is used for determining power consumption factors according to the power consumption of the feedback network module and the amplifier;
the power matching module 12 is used for matching the parameters of the amplifier with the total average power of the power consumption factors to obtain the resistance value of the load network;
an amplifier circuit generation module 13, wherein the amplifier circuit generation module 13 is configured to generate an amplifier circuit with low power consumption characteristics by adjusting a resistance value of the load network;
the analog simulation module 14 is configured to perform analog simulation on the amplifier by using a plurality of amplifier parameter evaluation tools based on the amplifier circuit with the low power consumption characteristic, so as to obtain amplifier simulation data;
a feasibility assessment module 15, wherein the feasibility assessment module 15 is used for assessing the feasibility of the power consumption data characteristics of the amplifier based on the amplifier simulation data;
and the power consumption optimizing module 16 is used for analyzing the power consumption data characteristics of the amplifier according to the feasibility, obtaining characteristic analysis results and optimizing the power consumption of the amplifier according to the characteristic analysis results.
Further, the system further comprises:
the power extraction module is used for extracting static power, operational amplifier output power and load power based on the power factors;
the total average power calculation module is used for calculating the total average power of the static power, the output power of the operational amplifier and the load power, and the total average power calculation formula is as follows:
wherein ,
for the total average power, V is the supply voltage, +.>
For quiescent current +.>
For dc offset of the output signal +.>
To output signalsAmplitude of->
Is the total load resistance of the operational amplifier.
Further, the system further comprises:
the feedback component resistance value determining module is used for determining different feedback component resistance values through a predetermined component output by a plurality of loads;
the load network resistance value calculation module is used for bringing the resistance values of the different feedback components into the following formula:
wherein ,
is the resistance value of the load network, < >>
Is the total load resistance of the operational amplifier, +.>
For different values of feedback component resistance.
Further, the system further comprises:
the simulation data acquisition module is used for carrying out simulation on the amplifier based on the amplifier circuit with the low power consumption characteristic to obtain the amplifier simulation data;
the first simulation data acquisition module is used for carrying out simulation on the amplifier by using a first amplifier parameter evaluation tool to obtain first simulation data;
the second simulation data acquisition module is used for carrying out simulation on the amplifier by using a second amplifier parameter evaluation tool to obtain second simulation data;
and the data verification module is used for carrying out data verification on the first simulation data and the second simulation data and determining the amplifier simulation data.
Further, the system further comprises:
the simulation data matching module is used for matching simulation data among different sources of tool sources corresponding to the first simulation data and the second simulation data to obtain a coincident simulation data set and a single simulation data set;
the accurate value range determining module is used for determining an accurate value range through the simulation data characteristics and the source characteristics of the single simulation data set;
and the data screening module is used for screening the single simulation data set based on the accurate value range, completing data verification according to the screened single simulation data set and the coincident simulation data set, and determining the amplifier simulation data.
Further, the system further comprises:
the power consumption monitoring module is used for monitoring the power consumption of the amplifier according to the characteristic analysis result to obtain a real-time monitoring result;
the power consumption evaluation module is used for performing power consumption evaluation on the power consumption of the amplifier based on the real-time supervision result to obtain an amplifier power consumption evaluation result;
and the second power consumption optimizing module is used for carrying out power consumption optimization on the power consumption of the amplifier according to the power consumption evaluation result of the amplifier.
Further, the system further comprises:
the evaluation period setting module is used for setting the evaluation period of the power consumption data characteristics of the amplifier;
the periodic data acquisition module is used for acquiring the periodic data of the power consumption data characteristics of the amplifier through the power consumption data characteristic evaluation period of the amplifier to obtain an acquisition result;
the characteristic evaluation result acquisition module is used for acquiring the characteristic evaluation result of the power consumption data of the expected amplifier;
the result comparison module is used for comparing the acquisition result through the expected amplifier power consumption data characteristic evaluation result to obtain an amplifier power consumption data characteristic comparison result;
and the feedback evaluation module is used for generating amplifier power consumption data characteristic feedback data according to the amplifier power consumption data characteristic comparison result, and evaluating the feasibility of the amplifier power consumption data characteristic through the amplifier power consumption data characteristic feedback data.
A specific example of a power consumption data characteristic analysis method for an amplifier in the first embodiment is also applicable to a power consumption data characteristic analysis system for an amplifier in the present embodiment, and from the foregoing detailed description of a power consumption data characteristic analysis method for an amplifier, those skilled in the art will clearly recognize that a power consumption data characteristic analysis system for an amplifier in the present embodiment is not described in detail herein for brevity of description.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution disclosed in the present invention can be achieved, and are not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (8)
1. A method for analyzing a power consumption data characteristic of an amplifier, the method being applied to a power consumption data characteristic analysis system, the power consumption data characteristic analysis system being communicatively connected to a feedback network module, comprising:
determining power consumption factors according to the power consumption of the feedback network module and the amplifier;
matching the parameters of the amplifier with the total average power of the power consumption factors to obtain the resistance value of the load network;
generating an amplifier circuit with low power consumption characteristics by adjusting the resistance value of the load network;
an amplifier circuit based on the low power consumption characteristic, wherein a plurality of amplifier parameter evaluation tools are used for carrying out analog simulation on the amplifier to obtain amplifier simulation data;
evaluating feasibility of the amplifier power consumption data characteristic based on the amplifier simulation data;
and analyzing the power consumption data characteristics of the amplifier according to the feasibility to obtain characteristic analysis results, and optimizing the power consumption of the amplifier according to the characteristic analysis results.
2. The method of claim 1, wherein a total average power of the power consumption factors is obtained, the method further comprising:
extracting static power, operational amplifier output power and load power based on the power factor;
calculating total average power of the static power, the operational amplifier output power and the load power;
the total average power calculation formula is as follows:
wherein ,
for the total average power, V is the supply voltage, +.>
For quiescent current +.>
In order to output a dc offset of the signal,
for outputting the amplitude of the signal +.>
Is the total load resistance of the operational amplifier.
3. The method of claim 1, wherein a resistance value of a load network is obtained, the method further comprising:
determining resistance values of different feedback components through a plurality of predetermined components output by loads;
bringing the different feedback component resistance values into the following formula:
wherein ,
is the resistance value of the load network, < >>
Is the total load resistance of the operational amplifier, +.>
For different values of feedback component resistance.
4. The method of claim 1, wherein the amplifier simulation data is determined, the method further comprising:
the amplifier circuit is based on the low-power consumption characteristic, and analog simulation is carried out on the amplifier to obtain amplifier simulation data;
using a first amplifier parameter evaluation tool to perform analog simulation on the amplifier to obtain first simulation data;
using a second amplifier parameter evaluation tool to perform analog simulation on the amplifier to obtain second simulation data;
and carrying out data verification on the first simulation data and the second simulation data to determine the simulation data of the amplifier.
5. The method of claim 4, wherein the first simulation data and the second simulation data are data validated, the method further comprising:
the first simulation data and the tool source corresponding to the second simulation data are subjected to simulation data matching among different sources to obtain a coincident simulation data set and a single simulation data set;
determining an accurate value range through simulation data characteristics and source characteristics of the single simulation data set;
and screening the single simulation data set based on the accurate value range, and determining the amplifier simulation data according to the screened single simulation data set and the coincident simulation data set to complete data verification.
6. The method of claim 1, wherein the amplifier power consumption is optimized, the method further comprising:
performing power consumption supervision on the power consumption of the amplifier according to the characteristic analysis result to obtain a real-time supervision result;
performing power consumption evaluation on the power consumption of the amplifier based on the real-time supervision result to obtain an amplifier power consumption evaluation result;
and carrying out power consumption optimization on the power consumption of the amplifier according to the power consumption evaluation result of the amplifier.
7. The method of claim 1, wherein the feasibility of the amplifier power consumption data characteristic is assessed, the method further comprising:
setting an amplifier power consumption data characteristic evaluation period;
the periodic data acquisition of the power consumption data characteristics of the amplifier is carried out through the power consumption data characteristic evaluation period of the amplifier, and an acquisition result is obtained;
obtaining an expected amplifier power consumption data characteristic evaluation result;
comparing the acquisition result through the expected amplifier power consumption data characteristic evaluation result to obtain an amplifier power consumption data characteristic comparison result;
and generating amplifier power consumption data characteristic feedback data according to the amplifier power consumption data characteristic comparison result, and evaluating the feasibility of the power consumption data characteristic of the amplifier according to the amplifier power consumption data characteristic feedback data.
8. A power consumption data characteristic analysis system for an amplifier, the system being communicatively coupled to a feedback network module, the system comprising:
the power consumption factor determining module is used for determining power consumption factors according to the power consumption of the feedback network module and the amplifier;
the power matching module is used for matching the parameters of the amplifier with the total average power of the power consumption factors to obtain the resistance value of the load network;
the amplifier circuit generation module is used for generating an amplifier circuit with low power consumption characteristics by adjusting the resistance value of the load network;
the analog simulation module is used for carrying out analog simulation on the amplifier by using a plurality of amplifier parameter evaluation tools based on the amplifier circuit with the low power consumption characteristic to obtain amplifier simulation data;
the feasibility assessment module is used for assessing the feasibility of the power consumption data characteristics of the amplifier based on the amplifier simulation data;
and the power consumption optimizing module is used for analyzing the power consumption data characteristics of the amplifier according to the feasibility, obtaining characteristic analysis results and optimizing the power consumption of the amplifier according to the characteristic analysis results.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310364220.1A CN116306010B (en) | 2023-04-07 | 2023-04-07 | Power consumption data characteristic analysis method and system for amplifier |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310364220.1A CN116306010B (en) | 2023-04-07 | 2023-04-07 | Power consumption data characteristic analysis method and system for amplifier |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116306010A true CN116306010A (en) | 2023-06-23 |
| CN116306010B CN116306010B (en) | 2023-08-18 |
Family
ID=86794100
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310364220.1A Active CN116306010B (en) | 2023-04-07 | 2023-04-07 | Power consumption data characteristic analysis method and system for amplifier |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116306010B (en) |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006074284A (en) * | 2004-08-31 | 2006-03-16 | Sharp Corp | Power consumption control apparatus, high frequency communication equipment, and method and program for controlling power consumption |
| CN102147822A (en) * | 2010-12-23 | 2011-08-10 | 上海高性能集成电路设计中心 | Large-scale digital integrated circuit power dissipation dynamic assessment device based on power dissipation bank |
| CN102314525A (en) * | 2010-06-30 | 2012-01-11 | 中国科学院微电子研究所 | Optimization method of low-power-consumption circuit design |
| CN103259493A (en) * | 2013-06-07 | 2013-08-21 | 杨俊杰 | Method for realizing low power consumption switch amplifying circuit by utilizing asymmetric capacitors |
| CN106363168A (en) * | 2016-12-02 | 2017-02-01 | 哈尔滨理工大学 | Micro-texture hard alloy ball-end mill preparation method based on 3D printing technology |
| CN107453714A (en) * | 2017-06-15 | 2017-12-08 | 江苏大学 | A kind of Doherty power amplifier based on the matching of double states and double state matching process |
| CN108549320A (en) * | 2018-03-28 | 2018-09-18 | 西北工业大学 | A kind of titanium alloy milling parameter and tool wear control method based on roughness |
| US20200082043A1 (en) * | 2017-11-24 | 2020-03-12 | Guodian United Power Technology Company Ltd. | Simulation evaluation model of high voltage ride through capability, simulation evaluation method based on the same and storage medium |
| CN111007800A (en) * | 2019-12-20 | 2020-04-14 | 常州先进制造技术研究所 | Universal method for wear prediction and machining parameter optimization of flat-head micro-milling cutter |
| CN111563301A (en) * | 2020-05-14 | 2020-08-21 | 北京工业大学 | Thin-wall part milling parameter optimization method |
| CN112383282A (en) * | 2020-11-16 | 2021-02-19 | 江苏大学 | Continuous inverse F-type power amplifier optimally designed by adopting fragment discrete structure matching network |
| CN113987993A (en) * | 2021-10-26 | 2022-01-28 | 中国科学院上海微系统与信息技术研究所 | Power consumption analysis method and device for superconducting integrated circuit, storage medium and terminal |
-
2023
- 2023-04-07 CN CN202310364220.1A patent/CN116306010B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006074284A (en) * | 2004-08-31 | 2006-03-16 | Sharp Corp | Power consumption control apparatus, high frequency communication equipment, and method and program for controlling power consumption |
| CN102314525A (en) * | 2010-06-30 | 2012-01-11 | 中国科学院微电子研究所 | Optimization method of low-power-consumption circuit design |
| CN102147822A (en) * | 2010-12-23 | 2011-08-10 | 上海高性能集成电路设计中心 | Large-scale digital integrated circuit power dissipation dynamic assessment device based on power dissipation bank |
| CN103259493A (en) * | 2013-06-07 | 2013-08-21 | 杨俊杰 | Method for realizing low power consumption switch amplifying circuit by utilizing asymmetric capacitors |
| CN106363168A (en) * | 2016-12-02 | 2017-02-01 | 哈尔滨理工大学 | Micro-texture hard alloy ball-end mill preparation method based on 3D printing technology |
| CN107453714A (en) * | 2017-06-15 | 2017-12-08 | 江苏大学 | A kind of Doherty power amplifier based on the matching of double states and double state matching process |
| US20200082043A1 (en) * | 2017-11-24 | 2020-03-12 | Guodian United Power Technology Company Ltd. | Simulation evaluation model of high voltage ride through capability, simulation evaluation method based on the same and storage medium |
| CN108549320A (en) * | 2018-03-28 | 2018-09-18 | 西北工业大学 | A kind of titanium alloy milling parameter and tool wear control method based on roughness |
| CN111007800A (en) * | 2019-12-20 | 2020-04-14 | 常州先进制造技术研究所 | Universal method for wear prediction and machining parameter optimization of flat-head micro-milling cutter |
| CN111563301A (en) * | 2020-05-14 | 2020-08-21 | 北京工业大学 | Thin-wall part milling parameter optimization method |
| CN112383282A (en) * | 2020-11-16 | 2021-02-19 | 江苏大学 | Continuous inverse F-type power amplifier optimally designed by adopting fragment discrete structure matching network |
| CN113987993A (en) * | 2021-10-26 | 2022-01-28 | 中国科学院上海微系统与信息技术研究所 | Power consumption analysis method and device for superconducting integrated circuit, storage medium and terminal |
Non-Patent Citations (5)
| Title |
|---|
| JING XIA等: "A Linearized 2–3.5 GHz Highly Efficient Harmonic-Tuned Power Amplifier Exploiting Stepped-Impedance Filtering Matching Network", IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, vol. 24, no. 9, pages 602 - 604, XP011557899, DOI: 10.1109/LMWC.2014.2324752 * |
| 孔娃等: "一种基于阻抗缓冲匹配技术的高效率Doherty放大器", 微电子学, vol. 47, no. 5, pages 601 - 604 * |
| 王利斌;陈海波;: "一种基于GaN的宽带功率放大器的设计与分析", 国外电子测量技术, vol. 39, no. 09, pages 95 - 99 * |
| 胡新新;方飞;陈春兰;: "无线通信网络中塑料封装的低功耗放大器设计", 塑料科技, vol. 48, no. 07, pages 154 - 157 * |
| 黄华;陈晓哲;刘亮;陈立强;张健;张海英;: "2.8～4.2GHz MMIC低噪声放大器", 固体电子学研究与进展, vol. 27, no. 02, pages 203 - 206 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116306010B (en) | 2023-08-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102047128B (en) | Inverter current measurement using shunt resistor | |
| CN103529297A (en) | Impedance testing device | |
| CN103810497A (en) | Memristor based image identification system and method | |
| US11774470B2 (en) | Load detection system and load detection method thereof | |
| CN109004830A (en) | A kind of efficiency optimization power control method based on genetic algorithm | |
| CN104022747B (en) | A kind of data adaptive measuring method based on multistage amplifier circuit | |
| CN105223411A (en) | Overcurrent detection circuit and power supply system | |
| CN109324285A (en) | A kind of load switch event detecting method and system | |
| CN111239637B (en) | Server power supply current sharing detection device and method | |
| CN116306010B (en) | Power consumption data characteristic analysis method and system for amplifier | |
| CN102081143A (en) | Estimation method and system of battery capacity | |
| CN101614799B (en) | Signal separation and selection method applied in current sensor angular difference on-line monitoring system | |
| CN113759258A (en) | Power battery SOC estimation method and device and pure electric vehicle | |
| CN102706932B (en) | Circuit and method for adapting forward/reverse current of electrochemical gas sensor | |
| CN112731161A (en) | Nonlinear data feature extraction and classification prediction method based on small amount of data mixed insertion | |
| US6493659B1 (en) | Power consumption calculating apparatus and method of the same | |
| CN107014887A (en) | Current measurement range method of adjustment and system in a kind of polarography | |
| CN114325107A (en) | Method for judging accuracy of harmonic impedance calculation result | |
| CN103837772B (en) | Low-power-consumption acquisition system life evaluation method based on accelerated life test | |
| dos Santos et al. | Kalman filter for noise reduction of Li-Ion cell discharge current | |
| CN113030579A (en) | Load characteristic detection method and detection device | |
| CN108845018B (en) | Galvanic cell corrosion detection device | |
| JP2011123033A (en) | Device for evaluating battery characteristics | |
| DE112009004616T5 (en) | Calculation of power input to a computer | |
| CN113994276A (en) | Method for verifying system parameters of an energy system, method for operating an energy system, and energy management system for an energy system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |