Direct torque control of dual star induction motor using a fuzzy-PSO hybrid approach

• 出版年: Applied Computing and Informatics
• 主要な著者: Ghoulemallah Boukhalfa, Sebti Belkacem, Abdesselem Chikhi, Said Benaggoune
• フォーマット: 論文
• 言語: 英語
• 出版事項: Emerald Publishing 2022-03-01
• 主題: Dual stator induction motor (DSIM); Direct torque control (DTC); Speed control; particle swarm optimization (PSO); Fuzzy logic control (FLC)
• オンライン･アクセス: https://www.emerald.com/insight/content/doi/10.1016/j.aci.2018.09.001/full/pdf
• ISSN: 2634-1964; 2210-8327

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.