Multi-objective genetic-fuzzy optimal design of PI controller in the indirect field oriented control of an induction motor

Author

Moallem, M. ; Mirzaeian, B. ; Mohammed, O.A. ; Lucas, C.

Author_Institution

Dept. of Electr. Eng, Isfahan Univ. of Technol., Iran

Volume

37

Issue

5

fYear

2001

fDate

9/1/2001 12:00:00 AM

Firstpage

3608

Lastpage

3612

Abstract

In this paper, a novel multi-objective optimization method based on a Genetic-Fuzzy Algorithm (GFA) is proposed. GFA is applied to optimize the five PI controller gains in the Indirect Field Oriented Control (IFOC) of an induction motor drive. The PI controller gains are designed to optimize the step response of the system. Rise-time, maximum over-shoot, settling time and steady state error are the objective functions. In this drive system, the simultaneous estimation of the rotor speed and time constant for a voltage source inverter-fed induction motor is discussed. The theory is based on the parallel Model Reference Adaptive Control System (MRAC). The vector control of the induction motor may be achieved in the rotor-flux-oriented frame. Furthermore, to eliminate the offset error caused by the change in the stator resistance, a fuzzy resistance is also designed. The simulation results of the new method for induction motor speed control is compared with the results obtained by the conventional method, which allows better performance

Keywords

angular velocity control; control system synthesis; fuzzy control; genetic algorithms; induction motor drives; machine vector control; model reference adaptive control systems; step response; two-term control; PI controller; fuzzy resistance; genetic fuzzy algorithm; indirect field oriented control; induction motor control; induction motor drive; maximum over-shoot; model reference adaptive control system; motor speed control; multi-objective genetic-fuzzy optimal design; multi-objective optimization method; offset error elimination; parallel MRAC system; rise-time; rotor speed; rotor-flux-oriented frame; settling time; stator resistance; steady state error; system step response; time constant; voltage source inverter-fed induction motor; Adaptive control; Control systems; Design optimization; Induction motor drives; Induction motors; Optimal control; Optimization methods; Rotors; Steady-state; Voltage;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.952673

Filename

952673