FPGA-Based Speed Control Strategy of PMSM Using Improved Beetle Antennae Search Algorithm

Caiyun Wu, Kai Zhang and Xin Zhang ()
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Caiyun Wu: School of Equipment Engineering, Shenyang Ligong University, Shenyang 110159, China
Kai Zhang: School of Equipment Engineering, Shenyang Ligong University, Shenyang 110159, China
Xin Zhang: School of Automotive and Transportation, Shenyang Ligong University, Shenyang 110159, China

Energies, 2024, vol. 17, issue 8, 1-18

Abstract: To improve performance in terms of overshoot and motor response speed when a permanent-magnet synchronous motor (PMSM) with a proportional–integral (PI) controller is subjected to external disturbances, this paper proposes a speed control strategy based on an enhanced Beetle Antennae Search algorithm, which allows for adjustable parameters of the PI controller within a certain range. Firstly, to enhance the global and local search capabilities of each individual beetle, the step size was improved by linearly decreasing it. Secondly, a simulation model of a PMSM closed-loop control system was built to verify the effectiveness of the improved Beetle Antennae Search (BAS) algorithm. Finally, a linear feedback shift register model that generates four random numbers was developed on a field-programmable gate array (FPGA). The improved BAS algorithm for the PMSM control system was implemented on an FPGA using the Verilog hardware description language, and the feasibility of the system was verified through hardware simulation. Additionally, the hardware resource consumption on different FPGA platforms was analyzed. The simulation results demonstrate that the proposed new speed control strategy can reduce the overshoot and improve the motor response speed.

Keywords: PMSM control system; beetle antennae search; field-programmable gate array; intelligent optimization algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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