Construction method of AC motor anti-jamming intelligent controller for smart car eps

Abstract

The invention discloses a method of constructing a smart vehicle EPS-used AC motor anti-interference smart controller. A d-q axis current decoupling control module, a vector control module, a voltage coordinate conversion module, a PWM regulation module and the AC motor are connected in series, together with a current coordinate conversion module and a disturbance detection module as a whole, an EPS motor system is formed; a neural network controller, an optimization controller, a robust controller and a robust controller parameter optimization module are connected in parallel and then, together with an angle setting module and a filter tracking error model, an anti-interference smart controller for the EPS motor system is formed, and thus, the static control performance and the anti-interference control for the EPS motor system are improved, and the neural network controller control precision is ensured.

Description

technical field [0001] The invention belongs to the technical field of smart car drive and electric transmission control equipment, in particular to the field of control of an AC motor for an EPS (Electric Power Steering System) of a smart car, and is suitable for high-performance anti-interference control of the AC motor for the EPS of a smart car. Background technique [0002] Smart vehicles are the most important part of intelligent transportation systems, which can effectively improve traffic safety, improve transportation efficiency, and reduce environmental pollution. Research on intelligent vehicles can be divided into three directions: lateral control, longitudinal control and joint control. Among them, the lateral control usually refers to the steering control of the smart car, which directly affects the operation of the smart car when turning and the performance when changing lanes. Therefore, the quality of the steering system is very necessary for the smart car. ...

AI Technical Summary

Problems solved by technology

[0003] As a torque servo system, the EPS system requires fast and accurate response of the motor-assisted torque, and is extremely sensitive to torque ripple. At present, the methods such as constant voltage frequency ratio control, vector control and direct torque control used in the industry are difficult to apply to smart cars. The complexity of EPS AC motors, especially the driving conditions of smart cars, will inevitably bring about time-varying parameters, sudden load changes, and various random disturbances of the EPS motor system

Therefore, in order to essentially solve the problem of poor control effect of the conventional control method of the motor drive system for smart car EPS, at the same time, it is necessary to ensure various control performance indicators of the motor drive system for smart car EPS, such as dynamic response speed and steady-state tracking accuracy. and strong anti-interference ability, need to adopt a new control algorithm

[0004] An inverse decoupling control designed for the nonlinear relationship of the brushless DC motor used in the traditional automotive EPS system in the literature with the Chinese patent application number 201210592022.2 and the name "Brushless DC Motor Controller for Automotive EPS and Its Implementation Method" The research object of this inverse decoupling controller is brushless DC motor, which needs to use neural network to approximate the dynamic inverse model of brushless DC motor. As we all know, the construction of the inverse model is an extremely complicated process, and the effect is not good; Secondly, the inverse decoupling controller only solves the nonlinear control problem of the brushless DC motor used in EPS, and does not design a special robust controller for the external uncertain disturbance of the motor

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