The Study Of Robust Vector Control Strategy For Hybrid Vehicle Motor

The control system of vector control on hybrid vehicle induction motor is chosen as theobject of research in this thesis. As the performance of induction motor vector controlsystem will be influenced by parameter variations, external load disturbances, etc. In order tosettling the above problems designing corresponding controller is needed which can makethe uncertain systems keep stable or satisfy ideal design index. The main research contentsof this article are as follows:1. Fist of all, a dynamic mathematical model of the induction motor with parameteruncertainty and external disturbance has been established. And then use the method offeedback linearization to realize the dynamic decoupling of torque loop and flux loop.2. Based on the dynamic decoupled IM model and the analysis on the its characteristics,the optimal control theory and H2control theory is used to in the design of controller. Thelinear quadratic suboptimal control with static or dynamic feedback control the can solve theadverse effects of uncertain problems of flux systems. In this paper the torque controllerdesign problem of induction motor is described as general linear system with outsideinterference. Based on feedback linearization model, a state feedback H2controller isdesigned to come over the torque disturbance. The H2controller s solutions is changed intothe LQ suboptimal control problems and then solution of LQ suboptimal control is presentedin terms of solving linear matrix inequality.3. By modeling analysis and Simulating in Matlab, the relationship between the rotorresistance variations and system outputs is clear: the influence of rotor parameters variationsis actually reflected by slip speed. As Neural networks (NN) have strong capability ofparallel processing, approaching arbitrary nonlinear mapping and self-organizing learning,etc. These characters can solve preferably the uncertain of rotor resistance. Map therelationship between the deviations of torque current and the variation of rotor resistance bya Neural Network. Then compensate the variation of rotor resistance in the form of the slipspeed calculation. Thus obtain a controller with good robustness of rotor resistance andtorque disturbance.