Circuit equation real-time solving method, system and equipment based on micro momentum and medium

Abstract

The invention provides a circuit equation real-time solving method, system and equipment based on micro momentum and a medium, which are based on the thought of'micro change immobile 'and according to the characteristics of numerous switches of an actual power electronic system, different influence weights of the switches and rapid reduction of influence of a single switch along with increase of the number of the switches of the system. The influence of switching on and off on a circuit equation and a solution thereof is analyzed, the maximum simulation step number and the maximum allowable error can be set, and the relation between precision and speed is established through the maximum simulation step number and the maximum allowable error, so that the standard of precision and speed selection is obtained, and the solving precision and the solving speed of a circuit equation solving algorithm are coordinated and controllable.

Description

Technical Field

[0001] The present invention belongs to the technical field of real-time simulation, and relates to a method, a system, a device and a medium for real-time solving of circuit equations. Background Art

[0002] In recent years, real-time simulation has been widely used in industries such as aerospace, new energy vehicles, power systems, and automation, and runs through all aspects from R & D design to verification and testing, playing an indispensable role. Compared with physical systems, real-time simulation requires the calculation time to be less than or equal to the actual step size of discrete digital systems, and has the ability of hardware-in-loop (HIL) simulation, that is, semi-physical simulation, which not only improves the R & D efficiency, but also reduces the costs and risks of experiments or tests.

[0003] In the current application scenarios centered on power electronic converters, the operating frequency of power electronic circuits based on semiconductor switches is getting higher and higher. To ensure simulation accuracy, it is usually required that the simulation sampling speed of switched circuits is at least 20 times the switching frequency. For general simulation objects, a smaller simulation step size can not only more accurately detect the occurrence of switching events, but also help to characterize the dynamic characteristics of power electronic circuits, meaning higher simulation accuracy. However, for complex simulation objects, reducing the step size will inevitably lead to an increase in the amount of calculation. How to select a solution algorithm to ensure simulation accuracy and calculation real-time performance poses a major challenge to the construction of simulation platforms.

[0004] For the solution of circuit equations in the field of real-time simulation, the currently common solution algorithms mainly include nodal equation solution algorithms and state space equation solution algorithms, but these methods still have two deficiencies: one is that the algorithm accuracy and speed cannot be coordinated and controlled; the other is that the applicable circuit scale is limited. When designing the current simulation solution algorithm, only one performance index of improving accuracy or improving speed is considered. For users, once the simulation algorithm is selected, the algorithm accuracy and speed cannot be controlled. For different simulation objects, users need to continuously switch simulation algorithms and make a choice between accuracy and speed, that is, the solution accuracy and the solution speed cannot be coordinated and controlled. Summary of the Invention

[0005] To solve the problem that the solution accuracy and the solution speed of the circuit equation solution algorithm in the current real-time simulation field cannot be coordinated and controlled as described in the background art, the present invention provides a method, a system, a device and a medium for real-time solving of circuit equations based on micro-momentum.

[0006] The method of the present invention includes: According to the target circuit to be solved in real time and the switch combination, perform numbering operations on the target circuit, and list the matrix and the matrix change amount under each target circuit number; Set the micromomentum weighting coefficient according to the influence of each change element in the matrix and the matrix change amount under each target circuit number on the accurate solution of the circuit equation; Set the maximum number of simulation steps and the maximum allowable error that allow the matrix to remain unchanged according to the matrix and the matrix change amount under each target circuit number; Establish a real-time solver based on micromomentum according to the matrix, the matrix change amount, the micromomentum weighting coefficient, the maximum number of simulation steps and the maximum allowable error under each target circuit number; Solve the circuit equation of the target circuit in real time through the real-time solver based on micromomentum.

[0007] Further, in the switch combination, the switch state can take any value within the value range {0, 1}, and all state combinations or state combinations with limited conditions can be considered; The matrix is a circuit coefficient matrix, and the circuit coefficient matrix is an adjoint matrix or a transfer matrix; The matrix change amount is the change amount between two circuit coefficient matrices above. The change amount is tabulated and stored with the switch state numbers corresponding to the two matrices as indexes, and is directly called during real-time simulation.

[0008] Furthermore, the method for setting the micromomentum weighting coefficient is as follows: Disconnect all switches of the circuit to obtain the initial circuit coefficient matrix A 0 ; Turn on the switches in sequence n switches, and record the corresponding coefficient matrix A 1 ~A n ; Compare A 1 ~A n with A 0 , and count n the number of times each element changes under the conduction of the switch for k ij times; Set the micromomentum weighting coefficient of each element in the matrix α ij , and the calculation formula is: α ij =k ij / n 2 , where i, j = 1, 2, …, n .

[0009] Furthermore, the maximum number of simulation steps kmax and the maximum allowable error δ max Through manual setting, accidental errors are avoided. That is, after continuous multiple switches of the switch, the state quantity of the circuit has changed greatly, but a series of corresponding matrix change quantities do not exceed the threshold and do not trigger matrix switching.

[0010] Furthermore, the establishment process of the real-time solver based on micro-momentum includes: In the offline processing part, manually set the maximum number of simulation steps allowing the matrix to remain unchanged k max and the maximum allowable error δ max , according to the micro-momentum weighting coefficient α ij Pre-calculate the corresponding relationship between switch state switching and coefficient matrix update offline based on the micro-momentum weighting coefficient and the matrix change quantity; During the real-time simulation process, the input content includes: circuit equations under each target circuit number, the corresponding relationship table between switch state switching and coefficient matrix update, simulation step length, and simulation duration. The output content includes: the observation signal sequence.

[0011] Furthermore, loop the following steps within the simulation duration: S1. At the sampling moment, judge whether there is a change in the state of the switching device. If not, go to step S5; S2. If there is a change in the state of the switching device, query the corresponding relationship table between switch state switching and coefficient matrix update; S3. Judge whether it is necessary to update the circuit coefficient matrix. If not, go to step S5; S4. If it is necessary to update the circuit coefficient matrix, update the circuit coefficient matrix; S5. Calculate the observation signal value using the circuit coefficient matrix.

[0012] Further, the real-time solution process of the circuit equation of the target circuit by the real-time solver based on micro-momentum includes: First, initialize the real-time solver based on micro-momentum, and offline process the circuit equations under each target circuit number, the corresponding relationship table between switch state switching and coefficient matrix update, simulation step length, and simulation duration; Then loop the following steps within the simulation duration: S1. At the sampling moment, judge whether there is a change in the state of the switching device. If not, go to step S5; S2. If there is a change in the state of the switching device, query the corresponding relationship table between switch state switching and coefficient matrix update; S3. Judge whether it is necessary to update the circuit coefficient matrix. If not, go to step S5; S4. If it is necessary to update the circuit coefficient matrix, update the circuit coefficient matrix; S5. Calculate the observed signal value using the circuit coefficient matrix; Finally, determine whether the simulation duration has been reached. If the simulation duration has not been reached, execute step S1 above, enter the next sampling step. If the simulation duration has been reached, the solution is completed.

[0013] To implement the above method, the present invention proposes a real-time solution system for circuit equations based on micro-momentum, including a matrix and matrix change amount writing module, a micro-momentum weighting coefficient setting module, a simulation parameter setting module, a real-time solver establishment module, and a real-time solution module for circuit equations.

[0014] The matrix and matrix change amount writing module is used to perform numbering operations on the target circuit according to the target circuit to be solved in real time and the switch combination, and write the matrix and matrix change amount under each target circuit number.

[0015] The micro-momentum weighting coefficient setting module is used to set the micro-momentum weighting coefficient according to the influence of each changing element in the matrix and matrix change amount under each target circuit number on the accurate solution of the circuit equation.

[0016] The simulation parameter setting module is used to set the maximum number of simulation steps allowing the matrix to remain unchanged and the maximum allowable error according to the matrix and matrix change amount under each target circuit number.

[0017] The real-time solver establishment module is used to establish a real-time solver based on micro-momentum according to the matrix and matrix change amount, micro-momentum weighting coefficient, maximum number of simulation steps, and maximum allowable error under each target circuit number.

[0018] The real-time solution module for circuit equations is used to perform real-time solution of the circuit equations of the target circuit through the real-time solver based on micro-momentum.

[0019] The present invention also proposes an electronic device, including: a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor realizes the real-time solution method for circuit equations based on micro-momentum as described above by executing the computer instructions.

[0020] The present invention also proposes a computer-readable storage medium, which stores a computer program, and the computer program realizes the real-time solution method for circuit equations based on micro-momentum as described above when executed by a processor.

[0021] Compared with the prior art, based on the idea of "tiny change without movement", according to the characteristics of numerous switches in the actual power electronic system, different influence weights of each switch, and the rapid decline of the influence of a single switch with the increase in the number of system switches, analyze the influence of switch switching on the circuit equation and its solution. The maximum number of simulation steps and the maximum allowable error can be set. Establish the relationship between accuracy and speed through the maximum number of simulation steps and the maximum allowable error, so as to obtain the criteria for the selection of accuracy and speed, making the solution accuracy and solution speed of the circuit equation solving algorithm coordinately controllable. The present invention can be widely applied to circuits adopting ADC switch models, variable resistor switch models, ideal switch models, etc. Without considering the weak influence of all switch events on the circuit within the allowable error range, and only one same inverse matrix needs to be stored for the solutions under partial switch states within the allowable error range, saving a large amount of storage resources and calculation time, and realizing real-time simulation that takes into account the speed, accuracy, and resource consumption of the circuit equation. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a flowchart of the method of the present invention.

[0023] Figure 2 It is a flowchart of the use of the real-time solver based on micro momentum.

[0024] Figure 3 It is a system architecture diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0025] In order to make the technical problems, technical solutions, and beneficial effects to be solved by the present application clearer, the following further details the present application in conjunction with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0026] The real-time solving method for the circuit equation based on micro momentum, the flowchart is as Figure 1 shown, and the specific steps are as follows.

[0027] First, according to the target circuit to be solved in real time and the switch combination, perform the numbering operation on the target circuit, and list the matrices and matrix change amounts under the numbers of each target circuit.

[0028] Among them, in the switch combination, the switch state can take any value within the value range {0, 1}, and all state combinations or state combinations with restricted conditions can be considered; the matrix is the circuit coefficient matrix, and this circuit coefficient matrix is the adjoint matrix or the transfer matrix; the matrix change amount is the change amount between two of the above circuit coefficient matrices, and the change amount is tabulated and stored with the switch state numbers corresponding to the two matrices as the index, and directly called during real-time simulation.

[0029] Then, according to the influence of each change element in the matrix and the matrix change amount under each target circuit number on the accurate solution of the circuit equation, the setting of the micro-momentum weighting coefficient is carried out.

[0030] Specifically, the method for setting the micro-momentum weighting coefficient is as follows: Disconnect all switches of the circuit to obtain the initial circuit coefficient matrix A 0 ; Turn on the n switches in sequence, and record the corresponding coefficient matrix A 1 ~A n ; Compare A 1 ~A n with A 0 , and count n the number of times each element changes under the conduction of the switch k ij ; Set the micro-momentum weighting coefficient of each position element in the matrix α ij , and the calculation formula is: α ij =k ij / n 2 , where i, j = 1, 2, …, n .

[0031] Then, according to the matrix and the matrix change amount under each target circuit number, the setting of the maximum simulation steps and the maximum allowable error for allowing the matrix to remain unchanged is carried out.

[0032] The maximum simulation steps k max and the maximum allowable error δ max are set manually to avoid accidental errors, that is, after continuous multiple switches of the switch, the state quantity of the circuit has changed greatly, but the corresponding series of matrix change amounts do not exceed the threshold and do not trigger matrix switching.

[0033] Next, according to the matrix and the matrix change amount, the micro-momentum weighting coefficient, the maximum simulation steps and the maximum allowable error under each target circuit number, a real-time solver based on micro-momentum is established.

[0034] Specifically, the establishment process of the real-time solver based on micro-momentum includes: In the offline processing part, manually set the maximum simulation steps for allowing the matrix to remain unchanged kmax and the maximum allowable error δ max , according to the micromomentum weighting coefficient α ij pre-calculate offline the corresponding relationship between the switching state transition and the coefficient matrix update with the matrix change amount; During the real-time simulation process, the input content includes: the circuit equations under each target circuit number, the corresponding relationship table between the switching state transition and the coefficient matrix update, the simulation step size, and the simulation duration. The output content includes: the observation signal sequence.

[0035] More specifically, the following steps are looped within the simulation duration: S1. At the sampling moment, determine whether there is a change in the state of the switching device. If not, go to step S5; S2. If there is a change in the state of the switching device, query the corresponding relationship table between the switching state transition and the coefficient matrix update; S3. Determine whether the circuit coefficient matrix needs to be updated. If not, go to step S5; S4. If the circuit coefficient matrix needs to be updated, update the circuit coefficient matrix; S5. Calculate the observation signal value using the circuit coefficient matrix.

[0036] Finally, perform real-time solution of the circuit equations of the target circuit through the real-time solver based on micromomentum.

[0037] The usage flowchart of the real-time solver based on micromomentum is as Figure 2 shown. First, initialize the real-time solver based on micromomentum, and perform offline processing on the circuit equations under each target circuit number, the corresponding relationship table between the switching state transition and the coefficient matrix update, the simulation step size, and the simulation duration; Then, the following steps are looped within the simulation duration: S1. At the sampling moment, determine whether there is a change in the state of the switching device. If not, go to step S5; S2. If there is a change in the state of the switching device, query the corresponding relationship table between the switching state transition and the coefficient matrix update; S3. Determine whether the circuit coefficient matrix needs to be updated. If not, go to step S5; S4. If the circuit coefficient matrix needs to be updated, update the circuit coefficient matrix; S5. Calculate the observation signal value using the circuit coefficient matrix.

[0038] Finally, determine whether the simulation duration is reached. If the simulation duration is not reached, execute step S1 above and enter the next sampling step. If the simulation duration is reached, the solution ends.

[0039] To implement the above-mentioned method, a real-time solution system for circuit equations based on micro-momentum is proposed. Its architecture diagram is as follows Figure 3 shown, and it consists of a matrix and matrix change amount writing module, a micro-momentum weighting coefficient setting module, a simulation parameter setting module, a real-time solver establishment module, and a real-time circuit equation solving module.

[0040] The matrix and matrix change amount writing module is used to perform numbering operations on the target circuit according to the target circuit and switch combination to be solved in real time, and write the matrix and matrix change amount under each target circuit number.

[0041] The micro-momentum weighting coefficient setting module is used to set the micro-momentum weighting coefficient according to the influence of each changing element in the matrix and matrix change amount under each target circuit number on the accurate solution of the circuit equation.

[0042] The simulation parameter setting module is used to set the maximum number of simulation steps and the maximum allowable error for allowing the matrix to remain unchanged according to the matrix and matrix change amount under each target circuit number.

[0043] The real-time solver establishment module is used to establish a micro-momentum-based real-time solver according to the matrix and matrix change amount, micro-momentum weighting coefficient, maximum number of simulation steps, and maximum allowable error under each target circuit number.

[0044] The real-time circuit equation solving module is used to solve the circuit equation of the target circuit in real time through the micro-momentum-based real-time solver.

[0045] An electronic device includes: a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor realizes the above-mentioned real-time circuit equation solving method based on micro-momentum and the real-time circuit equation solving system based on micro-momentum by executing the computer instructions.

[0046] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it realizes the above-mentioned real-time circuit equation solving method based on micro-momentum and the real-time circuit equation solving system based on micro-momentum.

[0047] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code. The solutions in the embodiments of the present application can be implemented in various computer languages. For example, object-oriented programming languages such as Java, C++, Python, and interpreted scripting languages such as JavaScript, etc.

[0048] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks.

[0049] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in Figure 1 one or more of the flows Figure 1 or blocks.

[0050] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are performed on the computer or other programmable device to generate a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks.

[0051] Although the preferred embodiments of the present application have been described, those skilled in the art can make additional changes and modifications to these embodiments once they learn the basic creative concepts. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present application.

[0052] Obviously, those skilled in the art can make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalent technologies, this application is also intended to cover these changes and modifications.

Claims

1. A real-time solution method for circuit equations based on micro-motion, characterized in that: include: According to the target circuit and switch combination to be solved in real time, the target circuit is numbered, and the matrix and matrix change amount under each target circuit number are listed; According to the influence of each variable element in the matrix and matrix variation under each target circuit number on the accurate solution of the circuit equation, the weighted coefficient of the micro-motion quantity is set; According to the matrix and matrix variation under each target circuit number, the maximum number of simulation steps and the maximum allowable error that allow the matrix to remain unchanged are set; According to the matrix and matrix variation under each target circuit number, micro-motion weighting coefficient, maximum simulation steps and maximum allowable error, a real-time solver based on micro-motion is established; The circuit equations of the target circuit are solved in real time by a real-time solver based on micro-motion.

2. The method for solving circuit equations in real time based on micro-motion according to claim 1, characterized in that: In the switch combination, the switch state can take any value in the value range {0, 1}, and all state combinations or state combinations with restrictions are considered; The matrix is ​​a circuit coefficient matrix, and the circuit coefficient matrix is ​​an adjoint matrix or a transfer matrix; The matrix variation is the variation between the above-mentioned circuit coefficient matrices, and the variation is stored in a table with the switch state numbers corresponding to the two matrices as indexes, and is directly called during real-time simulation.

3. The method for solving circuit equations in real time based on micro-motion according to claim 2, characterized in that: The method for setting the micro-motion weighting coefficient is: Disconnect all switches in the circuit and get the initial circuit coefficient matrix A 0 ; Turn on in sequence n switches, record the corresponding coefficient matrix A 1 ~A n ; contrast A 1 ~A n and A 0 ,statistics n The number of times each element changes when the switch is turned on k ij ; Set the weighting coefficient of the nudge amount for each position element in the matrix α ij , the calculation formula is: α ij =k ij / n 2 ,in i,j=1,2,…,n .

4. The method for solving circuit equations in real time based on micro-motion according to claim 1, characterized in that: The maximum number of simulation steps k max and the maximum allowable error δ max Manual settings are used to avoid occasional errors, that is, after multiple consecutive switching of the switch, the state quantity of the circuit has changed significantly, but the corresponding series of matrix changes have not exceeded the threshold and no matrix switching has been triggered.

5. The method for solving circuit equations in real time based on micro-motion according to claim 4, characterized in that: The process of establishing the real-time solver based on micro-motion includes: In the offline processing part, manually set the maximum number of simulation steps that allow the matrix to remain unchanged k max and the maximum allowable error δ max , according to the weighting coefficient of micro-motion α ij The correspondence between the switch state switching and the coefficient matrix updating is calculated offline in advance with the matrix variation; During the real-time simulation process, the input content includes: circuit equations under each target circuit number, a corresponding relationship table between switch state switching and coefficient matrix update, simulation step size and simulation time, and the output content includes: observation signal sequence.

6. The method for solving circuit equations in real time based on micro-motion according to claim 5, characterized in that: The following steps are looped during the simulation duration: S1, judging whether the state of the switch device changes at the sampling moment, if not, go to step S5; S2. If the state of the switch device changes, query the corresponding relationship table between the switch state switching and the coefficient matrix update; S3, determine whether the circuit coefficient matrix needs to be updated, if not, go to step S5; S4. If it is necessary to update the circuit coefficient matrix, update the circuit coefficient matrix; S5. Calculate the observed signal value using the circuit coefficient matrix.

7. The method for solving circuit equations in real time based on micro-motion according to claim 6, characterized in that: The real-time solver based on micro-motion quantity solves the circuit equations of the target circuit in real time, including: First, the real-time solver based on micro-motion is initialized, and the circuit equations, switch state switching and coefficient matrix update correspondence table, simulation step size and simulation time under each target circuit number are processed offline; Then loop the following steps during the simulation duration: S1, judging whether the state of the switch device changes at the sampling moment, if not, go to step S5; S2. If the state of the switch device changes, query the corresponding relationship table between the switch state switching and the coefficient matrix update; S3, determine whether the circuit coefficient matrix needs to be updated, if not, go to step S5; S4. If it is necessary to update the circuit coefficient matrix, update the circuit coefficient matrix; S5, using the circuit coefficient matrix to calculate the observed signal value; Finally, determine whether the simulation time has been reached. If not, execute step S1 above and enter the next sampling step. If the simulation time has been reached, the solution is terminated.

8. A real-time circuit equation solving system based on micro-motion quantity for implementing the method described in any one of claims 1 to 7, characterized in that: It includes a matrix and matrix variation column writing module, a micro-motion weighting coefficient setting module, a simulation parameter setting module, a real-time solver establishment module, and a circuit equation real-time solving module; The matrix and matrix variation writing module is used to perform target circuit numbering operations according to the target circuit and switch combination to be solved in real time, and write the matrix and matrix variation under each target circuit number; The micro-momentum weighted coefficient setting module is used to set the micro-momentum weighted coefficient according to the influence of each variable element in the matrix and matrix variation under each target circuit number on the accurate solution of the circuit equation; The simulation parameter setting module is used to set the maximum number of simulation steps and the maximum allowable error of the matrix that is allowed to remain unchanged according to the matrix and the matrix change amount under each target circuit number; The real-time solver establishment module is used to establish a real-time solver based on micro-motion according to the matrix and matrix variation under each target circuit number, micro-motion weighting coefficient, maximum simulation steps and maximum allowable error; The circuit equation real-time solving module is used to solve the circuit equation of the target circuit in real time through a real-time solver based on micro-momentum.

9. An electronic device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor implements the real-time solution method for circuit equations based on micro-momentum as described in any one of claims 1 to 7 by executing the computer instructions.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the real-time solution method for circuit equations based on micro-momentum as described in any one of claims 1 to 7 is implemented.

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