The Research And Design Of PMSM Servo System

In recent years, PMSM servo system based on digital control technique has become a hot research in the field of power electronics and power drives. Currently the high performance application of servo system makes many demands on PMSM control system, such as small tracking error, small overshoot, fast response, strong ability of anti-interference and so on.Nowadays, traditional PID controller is widely used in PMSM servo control system, but PMSM is a time-varying,strongly coupled and nonlinear system. Additionally, in operation the system will be interfaced by varying load and other uncertain factors. Parameters and even the model structure will be changed. It is hard to get good results. So it is crucial to adopt suitable control strategy.For the above analysis, single Neuron PID controller was adopted as the speed controller to optimize the rotating speed response of the system. Firstly, the mathematic models and vector control theory were analyzed. After that two common pulse width modulation strategies were analyzed based on Matlab/Simulink. The simulation results indicated that SVPWM strategy is better than the other one. Therefore SVPWM strategy was adopted in the following research. In the aspect of speed optimization, Single Neuron PID controller was used. This controller has the intelligent ability of real-time adjustment its parameters according to the operation condition. In addition, the gain of nerve cell was adjusted by fuzzy inference, which reduced the dependence to the rate of learning. Results based on simulation and experiment demonstrate that the adopted signal neuron PID controller improve the performance of speed response. And to some extent the dynamic and steady characteristic of PMSM servo control system was improved.