Enhanced FS-PTC: Dynamic Weighting Factors for Optimal Flux and Torque Control


  • Rozana Alik Faculty of Electrical Engineering, Universiti Teknologi Malaysia
  • Nik Rumzi Nik Idris
  • Norjulia Mohamad Nordin Faculty of Electrical Engineering, Universiti Teknologi Malaysia




Recently, Finite State-Predictive Torque Control (FS-PTC) of induction motors has gained significant interest in high-performance motor drive applications. The effectiveness of FS-PTC relies on the successful minimization of a cost function achieved by selecting an appropriate voltage vector. Typically, the cost function for FS-PTC is composed of errors between the predicted and reference values of torque and flux; hence a weighting factor, \mathbit{\lambda}, is normally employed to establish different priorities between torque and flux. However, determining the optimal is a complex undertaking, since an incorrect or suboptimal choice can needlessly compromise torque or flux responses. This paper introduces an online tuning approach for the weighting factor, based on the dynamic change of flux error. Instead of using a fixed value, the weighting factor is dynamically adjusted using a simple P or PI controller. The proposed method's performance is evaluated in this paper, considering various configurations of the controller's settings. Simulation results demonstrate that the proposed technique enhances the overall torque and flux ripples across a broad range of operating speeds, surpassing the performance of the fixed value weighting factor technique.

Author Biographies

Rozana Alik, Faculty of Electrical Engineering, Universiti Teknologi Malaysia

Rozana Alik is a dedicated researcher pursuing a PhD in Electric Machine within the Power Engineering department at Universiti Teknologi Malaysia. With three years of experience as a Quality Engineer prior to her doctoral studies, she brings a valuable practical perspective to her academic work. Rozana holds a master's degree in Philosophy with a specialization in solar PV and a bachelor's degree in Electrical Engineering. Currently, her research focuses on advancing knowledge in the field of electric machines and power systems.

Nik Rumzi Nik Idris

Prof. Dr. Nik Rumzi bin Nik Idris received the B.Eng. degree in electrical engineering from the University of Wollongong, Wollongong, Australia, the M.Sc. degree in power electronics from Bradford University, Bradford, West Yorkshire, U.K., and the PhD degree from Universiti Teknologi Malaysia, Skudai, Malaysia, in 1989, 1993, and 2000, respectively. He is a senior member of the IEEE and was a past chair (2014-2016) of the IEEE Power Electronics Malaysia Chapter. Currently, he is a professor at the School of Electrical Engineering, Universiti Teknologi Malaysia, the head of the Power Electronics and Drives Research Group (PEDG), and also an Associate Editor to the IEEE Transactions on Power Electronics. His research interests include AC drive systems and DSP applications in power electronic systems.

Norjulia Mohamad Nordin, Faculty of Electrical Engineering, Universiti Teknologi Malaysia

Dr. Norjulia Binti Mohamad Nordin is a Senior Lecturer and Program Coordinator at the Faculty of Electrical Engineering. She holds a Doctor of Philosophy in Electrical Engineering from Universiti Teknologi Malaysia. She also obtained a Master's degree in Engineering Science - Energy System from the University of New South Wales, Australia, and a Bachelor's degree in Engineering (Electrical Engineering - Power) from Universiti Teknologi Malaysia in 2006. Her research expertise lies in the field of electrical engineering, particularly in the area of power electronic system.




How to Cite

Alik, R., Nik Idris, N. R., & Mohamad Nordin, N. (2023). Enhanced FS-PTC: Dynamic Weighting Factors for Optimal Flux and Torque Control. ELEKTRIKA- Journal of Electrical Engineering, 22(3), 31–36. https://doi.org/10.11113/elektrika.v22n3.464