Dynamic performance improvement of PMSM drive using fuzzy‑based adaptive control strategy for EV applications

S. Suganthi; R. Karpagam

Dynamic performance improvement of PMSM drive using fuzzy‑based adaptive control strategy for EV applications

S. Suganthi

R. Karpagam

Vol. 23, No. 3, pp. 510-521, Mar. 2023

10.1007/s43236-023-00594-3

PMSM drive

Fuzzy logic controller

Model reference adaptive control (MRAC)

Hybrid SVPWM

Abstract

The permanent magnet synchronous motor (PMSM) is the heart of the electric drive system in electric vehicle technology. The effects of load variation and motor parameter changes are the important key challenges, which deteriorate the dynamic performances of interior PMSM (IPMSM) drives. To overcome these issues, this study suggests the development of an efficient new control drive system by integrating the Model Reference Adaptive Control (MRAC) with a fuzzy logic controller (FLC) using a finite-element model optimized motor model. The proposed cascaded system comprises two loops: a main outer loop that runs MRAC to mitigate the effects of load variation, and a secondary inner loop with FLC for resilient performance against parametric fluctuations of the IPMSM drive system. The proposed controller uses the hybrid space vector pulse width modulation technique to regulate the switching components of the inverter. It also reduces total harmonic distortion (THD) and torque ripple during the startup of the motor. The overall examination of the PMSM drive system is accomplished by co-simulation using MATLAB and Simcenter MAGNET software. The simulated results demonstrate the superiority of the proposed fuzzy adaptive controller in terms of higher maximum torque and improved speed tracking accuracy. A prototype of the proposed PMSM is developed and validated by experiment, which shows the robustness of the proposed methodology against load and speed fluctuations by reducing THD and torque ripples.

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Cite this article

[IEEE Style]

S. Suganthi and R. Karpagam, "Dynamic performance improvement of PMSM drive using fuzzy‑based adaptive control strategy for EV applications," Journal of Power Electronics, vol. 23, no. 3, pp. 510-521, 2023. DOI: 10.1007/s43236-023-00594-3.

[ACM Style]

S. Suganthi and R. Karpagam. 2023. Dynamic performance improvement of PMSM drive using fuzzy‑based adaptive control strategy for EV applications. Journal of Power Electronics, 23, 3, (2023), 510-521. DOI: 10.1007/s43236-023-00594-3.