Enhanced Speed Control of PMSM Using Sliding Mode Controller Optimized by Chess Optimization Algorithm

Matawong, Supakan; Audomsi, Sitthisak; Photong, Chonlatee; Thongsan, Taweesak; Sa-Ngiamvibool, Worawat

doi:10.3390/app16147143

Open AccessArticle

Enhanced Speed Control of PMSM Using Sliding Mode Controller Optimized by Chess Optimization Algorithm

by

Supakan Matawong

¹

,

Sitthisak Audomsi

^1,2

,

Chonlatee Photong

^1,2

,

Taweesak Thongsan

^1,2

and

Worawat Sa-Ngiamvibool

^1,2,*

¹

Faculty of Engineering, Mahasarakham University, Maha Sarakham 44150, Thailand

²

Electrical and Computer Engineering Research Unit, Mahasarakham University, Maha Sarakham 44150, Thailand

^*

Author to whom correspondence should be addressed.

Appl. Sci. 2026, 16(14), 7143; https://doi.org/10.3390/app16147143

Submission received: 11 June 2026 / Revised: 10 July 2026 / Accepted: 14 July 2026 / Published: 16 July 2026

(This article belongs to the Section Electrical, Electronics and Communications Engineering)

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Abstract

This paper introduces an enhanced speed control strategy for permanent magnet synchronous motors (PMSMs) through the application of sliding mode control (SMC) optimized by the Chess Optimization Algorithm (COA). Additionally, the proposed method is compared with other validated algorithms, such as Harris Hawk Optimization (HHO) and the Whale Optimization Algorithm (WOA). The SMC parameters are optimized using Integral of Time-weighted Absolute Error (ITAE) and Integral of Time-weighted Square Error (ITSE) as objectives function, and the controllers are validated in MATLAB/Simulink analyzing transient response, speed variation, and load disturbance conditions. The results show that COA-tuned SMC provides better performance, with the lowest overshoot of 0.1929% for ITAE and 3.4800% for ITSE, the fastest settling times of 0.00307 s for ITSE, and the lowest MAE and RMSE in most evaluated scenarios, offering the most balanced overall performance among the optimization algorithms tested. Comparison to PI and PID controllers demonstrates that SMC provides enhanced accuracy, robustness, and disturbance rejection. COA-SMC provides an efficient and stable solution for PMSM applications that demand quick and accurate speed regulation.

Keywords: Chess Optimization Algorithm; metaheuristic optimization; permanent magnet synchronous motor; speed control; sliding mode control

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MDPI and ACS Style

Matawong, S.; Audomsi, S.; Photong, C.; Thongsan, T.; Sa-Ngiamvibool, W. Enhanced Speed Control of PMSM Using Sliding Mode Controller Optimized by Chess Optimization Algorithm. Appl. Sci. 2026, 16, 7143. https://doi.org/10.3390/app16147143

AMA Style

Matawong S, Audomsi S, Photong C, Thongsan T, Sa-Ngiamvibool W. Enhanced Speed Control of PMSM Using Sliding Mode Controller Optimized by Chess Optimization Algorithm. Applied Sciences. 2026; 16(14):7143. https://doi.org/10.3390/app16147143

Chicago/Turabian Style

Matawong, Supakan, Sitthisak Audomsi, Chonlatee Photong, Taweesak Thongsan, and Worawat Sa-Ngiamvibool. 2026. "Enhanced Speed Control of PMSM Using Sliding Mode Controller Optimized by Chess Optimization Algorithm" Applied Sciences 16, no. 14: 7143. https://doi.org/10.3390/app16147143

APA Style

Matawong, S., Audomsi, S., Photong, C., Thongsan, T., & Sa-Ngiamvibool, W. (2026). Enhanced Speed Control of PMSM Using Sliding Mode Controller Optimized by Chess Optimization Algorithm. Applied Sciences, 16(14), 7143. https://doi.org/10.3390/app16147143

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

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Enhanced Speed Control of PMSM Using Sliding Mode Controller Optimized by Chess Optimization Algorithm

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