A nonlinear current simulation and robust control method for a motor simulator

Abstract

A method for nonlinear current simulation and robust control of a motor simulator, a. coordinate transformation of three-phase voltages of a motor controller under test acquired by sensors to obtain dq-axis voltages, and establish a motor model state equation; b. Find the feedforward voltage U of the feedforward control link f ;c. Obtain the state feedback output voltage U of the motor simulator LQR =K·i err ; d. Obtain the output voltage e of the disturbance observer, obtain the final target output voltage of the motor simulator, and simulate and control the nonlinear current of the motor simulator through the high-frequency switch of the power amplifier unit through the voltage modulation strategy. The invention has the beneficial effects of ensuring the stability and robust dynamic and static performance of the motor simulator when the coupling network parameters in the actual motor simulator are perturbed and the motor speed changes.

Description

technical field [0001] The invention relates to a current simulation and control method of a motor simulator used for motor controller testing, and in detail is a kind of current simulation and control method that can still ensure the performance of the motor simulator when the coupling network parameters in the actual motor simulator are perturbed and the motor speed changes. Nonlinear current simulation and robust control methods for motor simulators with stable and robust dynamic and static performance. Background technique [0002] Motor simulator systems are widely used in various fields of power system and industrial production testing, such as power grid testing, rail transit electric drive system testing, and new energy vehicle motor controller testing. The motor simulator system usually includes a sensor system, a coupling network, a power amplification unit, and a current simulation and controller. The current simulation and controller run in a high-speed FPGA proc...

AI Technical Summary

Problems solved by technology

A motor simulator system usually includes a sensor system, a coupling network, a power amplifier unit, and a current simulation and controller. The current simulation and controller run in a high-speed FPGA processor, which includes three parts: a motor model, a current control algorithm, and a voltage modulation strategy. , the sensor system usually has parameter drift and noise, the device of the power amplification system usually has external disturbance caused by the nonlinear characteristics caused by the device voltage drop and the dead zone of the switch, and the coupled inductor network usually has the dispersion and drift of the inductance value parameter, which is It will lead to deterioration of the current tracking effect of the current simulation and the current control algorithm of the controller

[0003] In order to ensure the effect of current simulation and controller current tracking, the current control algorithm usually needs to adopt the closed-loop control tracking method. Most of the current closed-loop control algorithms in the existing motor simulator are based on the negative feedback algorithm of the PI controller, that is, the dq axis current or The closed-loop control of UVW three-phase current is essentially to eliminate the steady-state error and analyze the dynamic performance of the motor simulator system through classical control theory. This method is not based on the model and parameters of the actual physical system, so it cannot realize the dynamic performance. It is optimal, and it only depends on the adjustment and testing of PI parameters on site by engineers to achieve the system control performance. It requires high on-site experience of engineers themselves. In addition, when the motor speed changes and the coupling network parameters are perturbed, the system dynamics cannot be guaranteed. , the unity of static performance

The evaluation and verification of existing current simulation and control algorithms are mostly based on the current tracking performance in the time domain, without dynamic analysis of the bandwidth index of the motor model in the frequency domain, resulting in the inability to obtain the current when the motor speed changes and the coupling network parameters are perturbed. Quantitative Design Objectives of Control Algorithms

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