Abstract
This paper proposes a new fuzzy PI control optimal design scheme for permanent magnet synchronous motor (PMSM) drive by using particle swarm optimization algorithm with normal cloud mutation (mPSO). The key of fuzzy PI control design is the design of fuzzy rules with expert experience. The performance of fuzzy PI control is degraded because of expert experience. In this paper, the mPSO is used to optimize the parameters of membership functions to automatically acquire the fuzzy space structure of system and fuzzy rules remain the same. The simulation results show that the proposed control strategy operates robustly under parameters variations and external disturbances and has good dynamic performance.
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Guo, W., Zhang, CW. (2011). Fuzzy PI Speed Controller Optimal Design for PMSM Drives. In: Wu, Y. (eds) Advances in Computer, Communication, Control and Automation. Lecture Notes in Electrical Engineering, vol 121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25541-0_72
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DOI: https://doi.org/10.1007/978-3-642-25541-0_72
Publisher Name: Springer, Berlin, Heidelberg
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