Application of Vector Control to Permanent Magnet Synchronous Motors Using Chaos Control

Abstract

Abstract. This paper presents the idea of vector control for permanent magnet synchronous motor (PMSM) based on chaos theorem, using chaos controller. PMSM will demonstrate chaotic phenomena when its parameters fall into a certain area. To achieve this aim, the sub-system of controller has been designed by considering block diagram structure of vector control for PMSM and by applying the setting of Lyapunov exponents method. Also, asymptotical stability of closed loop system with given controller is shown, using the direct Lyapunov method. The performance of designed controller in chaotic mode is compared with conventional vector control methods. Also, the normal mode for PMSM is considered and the performance of controller is compared. Simulation results indicate that not only does this controller eliminate the chaos in chaotic mode and have good performance but also is able to control the system in normal mode by using almost the smaller control signal effort.

Dual-parameter collaborative intelligent optimal control of chaotic motion of permanent magnet synchronous motor

“…Many researchers have proposed corresponding control methods to eliminate chaotic phenomena in electric motors [5] . At present, PID control [6] , Sliding mode control [7] and neural network control methods [8] are generally used to design the chaotic controller of PMSM system, but the chattering problem of sliding mode controller affects the effect of the controller [9,10] . At the same time, it is becoming increasingly difficult to design various parameters for neural networks using empirical trial [11] .…”

Field oriented control of permanent magnet synchronous motor: Chaos synchronization

“…Bifurcation and chaos illustrate the complexity of dynamical behaviors of most of electric machines. Permanent Magnet Synchronous Motor (PMSM) is described by a set of nonlinear differential equations which are multivariable, nonlinear, and strongly coupled, thus it can exhibit complex behaviors [1]- [3].The topological features of PMSM dynamics , singularities, periodic orbits, and the orbits which intertwine in a chaotic manner has become an attractive research field .…”