A Simple Online Tuning Flux Weighting Factor in Finite Control Set – Predictive Torque Control for Induction Motor Drive-Reference-Cited by-同舟云学术

A Simple Online Tuning Flux Weighting Factor in Finite Control Set – Predictive Torque Control for Induction Motor Drive

Published:2024-10-01 Issue:5 Volume:9 Page:1035-1051
ISSN:2455-7749
Container-title:International Journal of Mathematical, Engineering and Management Sciences
language:en
Short-container-title:Int. j. math. eng. manag. sci.

Author:

Alik Rozana¹,Md Ayob Shahrin¹,Nik Idris Nik Rumzi¹,Mohamad Nordin Norjulia¹,Al Takrouri Mohammad¹,Muhamad Said Mohd Farid²

Affiliation:

1. Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia.

2. Institute of Vehicle Systems and Engineering (IVeSE), Universiti Teknologi Malaysia, Skudai, Johor, Malaysia.

Abstract

The Finite Control Set-Predictive Torque Control (FSC-PTC) is a practical and intuitive method to control an Induction Motor (IM). However, the challenge of this technique is the difficulty of tuning the weighting factor so that it performs optimally at all speeds. Hence, this paper proposes a new method for improving the optimization technique by automatically tuning the weighting factor using a flux controller. The flux controller is represented as a DC gain and designed to be proportional to the absolute value of the predicted stator flux error. This method eliminates the need for complex computation to select the suitable weighting factor while also efficiently regulating flux and torque. The proposed method is experimentally validated on a DS1104 controller board and compared to a constant flux weighting factor method that was tested under speed conditions. The results demonstrate that the new method can further decrease the torque ripple compared to the constant weighting factor while maintaining the flux ripple and harmonic distortion limits.

Publisher

Ram Arti Publishers

Reference42 articles.

1. Abdelrahem, M., Hackl, C.M., Kennel, R., & Rodriguez, J. (2021). Computationally efficient finite-position-set-phase-locked loop for sensorless control of PMSGs in wind turbine applications. IEEE Transactions on Power Electronics, 36(3), 3007-3016. https://doi.org/10.1109/tpel.2020.3015575.

2. Alsofyani, I.M., Idris, N.R.N., & Lee, K.B. (2018). Dynamic hysteresis torque band for improving the performance of lookup-table-based DTC of induction machines. IEEE Transactions on Power Electronics, 33(9), 7959-7970. https://doi.org/10.1109/tpel.2017.2773129.

3. Arshad, M.H., Abido, M.A., Salem, A., & Elsayed, A.H. (2019). Weighting factors optimization of model predictive torque control of induction motor using NSGA-II with TOPSIS decision making. IEEE Access, 7, 177595-177606. https://doi.org/10.1109/access.2019.2958415.

4. Bhowate, A., Aware, M., & Sharma, S. (2019). Predictive torque control with online weighting factor computation technique to improve performance of induction motor drive in low speed region. IEEE Access, 7, 42309-42321. https://doi.org/10.1109/access.2019.2908289.

5. Bindal, R.K., & Kaur, I. (2020). Torque ripple reduction of induction motor using dynamic fuzzy prediction direct torque control. ISA Transactions, 99, 322-338. https://doi.org/10.1016/j.isatra.2019.09.012.