Implementation of indirect rotor-flux-oriented control in induction machine using fuzzy logic based on TLBO

In this paper indirect rotor flux oriented control (IRFOC) approach has been implemented to torque control of induction machine (IM). The drive’s control system has two proportional integral (PI) controllers, which have an essential role to control the transient and steady state conditions. So to make a desirable control, teaching learning based optimization (TLBO) method has been used to find the optimum coefficients. In order to enhance operation of the controller and achieve more accurate results the fuzzy logic control method is combined with TLBO. In fact on-line control will be achieved by applying fuzzy system to control system. In other word knowledge of expert human is used to locate fuzzy logic system in optimum location of control system. Also TLBO method by limiting boundaries of membership functions around optimal point lead system toward less complexity and practicability. Simulation results show the effectiveness of the proposed control approach in damping transient oscillations and reduction of steady state error.

کلیدواژه ها:

Induction machine ، Teaching-Learning based optimization ، fuzzy logic ، Field oriented control ، Vector control ، Artificial intelligent