Authors:
Saravanan Sivasamy, K. N. Srinivas, Dinka Lale, Baltaeva Umida Ismoilovna, M. Shagar Banu

Addresses:
Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India. Faculty of Electrical Engineering and Applied Computing, University of Dubrovnik, Dubrovnik, Croatia. Department of Applied Mathematics and Mathematical Physics, Urgench State University, Urgench City, Khorezm Region, Uzbekistan. Department of Electrical and Electronics Engineering, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India.

Abstract:

Permanent Magnet Synchronous Motor (PMSM) drives are widely utilised in robotics and industrial automation applications due to their superior efficiency, reliability, and dynamic performance. However, when powered via converter systems such as Indirect Matrix Converters (IMCs), these drives often experience significant high-frequency harmonic distortion due to conventional Space Vector Pulse Width Modulation (SVPWM) techniques. These harmonics adversely affect system performance by increasing electromagnetic interference (EMI), acoustic noise, and overall power losses, thereby degrading efficiency and electromagnetic compatibility (EMC). To address these issues, this paper proposes a Markov Chain Pseudorandom Asymmetrical Space Vector Modulation (MC-PRASVM) technique for high-frequency harmonic suppression in PMSM drives. The proposed method employs the stochastic behaviour of Markov chains to generate pseudorandom, asymmetric switching sequences. This dynamic switching approach effectively spreads harmonic energy across a broader frequency spectrum, thereby minimising harmonic concentration and resonance. Simulation and experimental analyses demonstrate that the MC-PRASVM technique significantly improves current waveform quality, reduces total harmonic distortion (THD), and enhances electromagnetic compatibility compared to traditional SVPWM strategies. 

Keywords: Harmonic Suppression; Electromagnetic Interference (EMI); Space Vector; Robotic Applications; Electromagnetic Compatibility; Asymmetric Switching; Total Harmonic Distortion (THD).

Received on: 14/05/2024, Revised on: 01/08/2024, Accepted on: 14/11/2024, Published on: 03/06/2025

DOI: 10.69888/FTSASS.2025.000531

FMDB Transactions on Sustainable Applied Sciences, 2025 Vol. 2 No. 1, Pages: 34-47

• Views : 21
• Downloads : 7

Download PDF