Design and implementation of Neuro fuzzy based speed control of induction motor drive by space vector pulse width modulation for voltage source inverters

Abstract

The performance of the induction motor drives largely depends on the power electronic circuitry and the type of control used in designing the controller to control the speed. The heart of the AC drive, i.e., the induction motor (plant), which is to be controlled, is generally characterized by highly non-linear, complex and time-varying dynamics and many of its states are not available for measurement purposes. Hence, it can be considered as a challenging engineering problem in the industrial sector for any specific application, say the control of speed. Numerous control techniques for the speed control of IMs have been developed by various researchers across the world so far.The development of the advanced control techniques has partially solved some of the induction motor?s speed control problems but they remain sensitive to drive parameter variations and the performance may deteriorate if conventional controllers are used. Moreover, these methods require mathematical models for control problems and suffer from drawbacks such as large settling times, ringing oscillations, etc. In this context, the fuzzy logic or neural network (or both)based controllers are considered as potential candidates for such speed control applications and thus does not require the mathematical model of the system for control purposes.A novel technique for the design and simulation of conventional PI controller and also hybrid controllers using the concept of Mamdani-FLC, Takagi-Sugeno FLC and the adaptive neuro-fuzzy strategies for controlling the commands for generating gating signal. The inverter terminal voltage controlled by these gating signals, in turn control the speed of IM drive, which is proposed in this work. Also, the concept of robustness in the speed control of IM has been explored in this research work by developing hybrid controllers yielding excellent results and improving the dynamic stability. Accordingly, it also deals with the use of space vector pulse width modulation (SVPWM).