The Research Of Control System For Sin-Wave PMSM Based On Sliding Model Observer

The text research object with the control system of permanent magnet synchronous motor (PMSM). The Operation Principles and characteristics of PMSM are analyzed .On the foundation , the dynamic mathematical model of sine-wave type permanent magnet synchronous motor( SPMSM ) is built. Based on the detailed analysis of the system torque harmonic mechanism, a new Sliding Trajectory Control algorithm for sensorless PMSM vector control system is designed which could reduce the torque ripple.The information of rotate position and rotate speed is essential in vector control system. As for the observation of position and velocity, the sensorless control technique is used. On the basis of an overall introduction and analysis to sensorless control algorithm, the system adopted a sliding mode control (SMC) with a variable control structure that gives comparatively robust performance of a drive with parameter variation and load torque disturbance. The SPMSM control system combined the theory of field orientated control (F.O.C) with the Sliding Model Control (SMC) principle. The text introduced an enhanced SMC algorithm, it increased the precision of Rotor position and velocity estimation and the stability of system when the method mentioned is applied in state observe of the vector control system.On the foundation of analysis the system characteristic and control strategy, the hardware parts and the soft parts of system are designed. Processor adopted DSP2407 .The experiment has proved feasibility of control strategy.Finally, the text discussed the intelligence control methods such as neural net control. In order to improve the performance of the PMSM drive system with traditional PID controller, the single neuron PID controller was used to control the system. Combined with the objection and control demand, a lot of experiments were done. The experiments show that the drive system of single neuron PID controller has well start-up performance, dynamic performance and strong robustness.