Research Article | ![]()
A Robust and Efficient Model Predictive Control for IPMSM Drive in Electric Vehicle Applications
Author(s): Sudeep Gaduputi1, and J. N. Chandra Sekhar2*
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 13, Issue 4
Publisher : FOREX Publication
Published : 30 December 2025
e-ISSN : 2347-470X
Page(s) : 954-959
Abstract
The transition to Electric Vehicles (EVs) demands new motor control systems for enhanced efficiency and performance. Interior Permanent Magnet Synchronous Motors (IPMSMs) are frequently employed in EVs due to their high-power density and operational reliability. Traditional Proportional-Integral (PI) controllers generally struggle with system nonlinearities and dynamic changes. To solve these issues, Finite Control Set Model Predictive Control (FCS-MPC) offers a superior alternative by directly optimizing inverter switching states, eliminating torque ripple, and boosting system robustness. This paper presents an upgraded FCS-MPC framework including predictive state estimation and adaptive cost function weighting to boost, control accuracy and efficiency. The proposed methodology is simulated in the MATLAB/Simulink environment, and its effectiveness is validated. Comparative simulations indicate the proposed approach’s advantages over conventional controllers in torque responsiveness and robustness, adding to the advancement of EV traction systems with enhanced efficiency and reliability.
Keywords: FCS-MPC, PI Controller, IPMSM, Predictive State Estimation, Cost Function Weighting.
Sudeep Gaduputi, Research Scholar, Department of Electrical and Electronics Engineering, SVU College of Engineering, S V University, Tirupati, India; Email: gaduputisudeep@gmail.com
J. N. Chandra Sekhar*, Associate Professor, Department of Electrical and Electronics Engineering, SVU College of Engineering, S V University, Tirupati, India; Email: chandrasekhar.jn@svuniversity.edu.in
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