Adaptive Control of Permanent Magnet Synchronous Motor using Modular Method of Parameter Estimation

Abstract

This paper presents designing of adaptive control Lyapunov function for speed control of permanent magnet synchronous motor (PMSM) by online parameter estimation. The online estimation is carried out through modular method. The modular method stands for two separate modules in which one of these is a controller and the other is an identifier that estimates the parameters for the controller. The parameters of the PMSM are quite likely to vary in real-time due to environmental conditions over a long period of its operation. Many times self-tuning method may not be that satisfactory because in that case the parameter estimation and the control law work as one module. Further, in self-tuning method, the parameter estimation works through the integration of the error function which may not always be appropriate. Therefore, the approach of modular method of adaptive control gives versatility and reliability. Since the whole system is nonlinear in nature therefore, Lyapunov based design is more appropriate as this guarantees stable and bounded response.