Direct torque control of dual star induction motor using a fuzzy-PSO hybrid approach. Issue 1 (29th July 2020)

• Record Type: Journal Article
• Authors: Boukhalfa, Ghoulemallah; Belkacem, Sebti; Chikhi, Abdesselem; Benaggoune, Said
• Is Part Of: Applied computing and informatics. Volume 18:Issue 1/2(2022)
• Page Start: 74
• Page End: 89
• Publication Date: 2020-07-29
• Subjects: Dual stator induction motor (DSIM) -- Direct torque control (DTC) -- Speed control -- particle swarm optimization (PSO) -- Fuzzy logic control (FLC); Information science -- Periodicals; Information storage and retrieval systems -- Periodicals; 004
• DOI: 10.1016/j.aci.2018.09.001
• Languages: English
• ISSNs: 2210-8327

Abstract

Abstract : This paper presents the particle swarm optimization (PSO) algorithm in conjuction with the fuzzy logic method in order to achieve an optimized tuning of a proportional integral derivative controller (PID) in the DTC control loops of dual star induction motor (DSIM). The fuzzy controller is insensitive to parametric variations, however, with the PSO-based optimization approach we obtain a judicious choice of the gains to make the system more robust. According to Matlab simulation, the results demonstrate that the hybrid DTC of DSIM improves the speed loop response, ensures the system stability, reduces the steady state error and enhances the rising time. Moreover, with this controller, the disturbances do not affect the motor performances.