Backtracking search algorithm approach to improve indirect field-oriented control for induction motor drive

Abstract

Proportional-integral (PI) controller is very useful for controlling speed and torque variables in three-phase induction motor (TIM) operation. However, the conventional PI controller has the exhaustive traditional trial and error procedure in obtaining parameters of PI controller. This paper presents an adaptive PI controller to improve indirect field oriented control (IFOC) design technique for TIM using a backtracking search algorithm (BSA) optimization technique. The mean absolute error (MAE) of the speed response is used as an objective function. An optimal BSA-based IFOC (BSA-IFOC) objective function is also employed to tune and minimize the MAE for improving the performance of the TIM in terms of changes speed and mechanical load. Space vector pulse width modulation (SVPWM) technique is utilized to generate pulse width modulation control strategy for inverter. Results obtained from the BSA-IFOC are compared with those obtained through particle swarm optimization (PSO) to validate the developed controller. The robustness of the BSA-IFOC is better than that of the PSO controller in all tested cases in terms of damping capability and transient response under different load and speed.