The Control System Of Permanent Magnet Synchronous Motor Based On Mras Research And Implementation

In recent years, with the development of power electron technology andmicroprocessor technology, the high performance AC control system has been widelyused. The position sensor which has been used to get the rotor information in thetradition AC drive system has many shortcomings, such as low reliability, high cost andstrict requirements of the environment. Thus the control system which estimates therotor information by MRAS (Model Reference Adaptive System) model instead ofusing the position sensor has became one of the hot research fields.In this dissertation, based on a depth analysis about the math mode of permanentmagnet synchronous motor (PMSM) and selecting the vector control which wasmentioned among many of control strategies, for example vector control (VC), directtorque control (DTC), nonlinear control, neural network intelligent control as a controlstrategy to control the PMSM. The PMSM rotor position is estimated by MRAS (ModelReference Adaptive System) method which becomes one of the speed feedbacks in thecontrol system. The math mode of MRAS includes a reference mode and an adaptivemode. The adaptive mode is adjusted to approach the reference mode, and makes thesystem stable at last. Due to the structure of reference mode and adaptive mode inMRAS is base on the PMSM math mode, so that they are dependent about theparameter of PMSM much. As the PMSM math mode which is a strong coupling andnonlinear mode that the MRAS estimates the rotor position is well only on thesimulation.For those reasons, this dissertation based on the inverse system theory, and built aplus system by combining inverse system theory with the adaptive mode of MRASwhich makes the adaptive mode independent, linear adjusted, and also enhancing theadaptive mode ability on approaching to the reference mode.This dissertation compared and analyzed the above mentioned PMSM controlsystems by simulation, and verified the simulation results by experiment based onTMS320F2812experimental platform. Simulation results show that the MRAS modelbases on inverse system is better than the MRAS system based on estimation in that it makes all the PMSM control system responsiveness and robustness better. Theexperiments also show that the all plus PMSM control system has a betterresponsiveness and robustness either.