A new design of fuzzy logic controller optimized by PSO-SCSO applied to SFO-DTC induction motor drive

Abstract

In this article, a new strategy for the design of fuzzy logic controllers (FLC) is proposed. This strategy is based on the optimization of the FLC, by the hybridization between the particle swarm optimization algorithm (PSO) and the sine-cosine swarm optimization algorithm (SCSO), This new strategy is called FLC-PSCSO. The input-output gains and the geometric shapes of the triangular membership functions of the FLC are the objective functions to be optimized. The optimization of the latter is obtained by minimizing a cost function based on the combination of two criteria, the integral time absolute error (ITAE) and the integral absolute error (IAE). A comparison between the conventional FLC and the proposed FLC-PSCSO is made. The FLC optimized by PSCSO shows a remarkable improvement in the performance of the controlled induction motor.