Design of a High-Performance Current Controller for Permanent Magnet Synchronous Motors via Multi-Frequency Sweep Adjustment

Pengcheng Lan, Ming Yang () and Chaoyi Shang
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Pengcheng Lan: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Ming Yang: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Chaoyi Shang: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China

Energies, 2025, vol. 18, issue 16, 1-19

Abstract: In practical applications, precise tuning of current controllers is essential for achieving desirable dynamic performance and stability margins. Traditional tuning techniques rely heavily on accurate plant parameter identification. However, this process is often challenged by inherent nonlinearities and unmodeled dynamics in motor systems. To address this issue, this paper proposes a current loop parameter tuning algorithm based on open-loop frequency sweeping. As the swept Bode diagram reveals nonlinear factors typically neglected during modeling, it provides a basis for control parameter correction. A pulse-sine voltage injection method is first introduced to identify motor parameters, serving as initial values for the controller. By analyzing the magnitude and phase characteristics of the open-loop transfer function, the delay time constant in the high-frequency range can be accurately identified, and mismatched parameters in the low-to-mid frequency range can be corrected. This method does not rely on complex model structures or extensive online adaptation mechanisms. Experimental results on a mechanical test platform demonstrate that the proposed tuning strategy significantly enhances the current loop’s closed-loop bandwidth and dynamic performance.

Keywords: parameter identification; dynamic performance; gain scheduling; parameter adjustment; open-loop frequency sweep (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: 2025
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