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Special Issue

Hierarchical MPC for Velocity Tracking in Four in-Wheel Motor Actuated Vehicles

Tianxun Li Xingchen Li Zhinan Hou Keyou You ( )
Department of Automation and BNRist, Tsinghua University, Beijing 100084, P. R. China

This paper was recommended for publication in its revised form by Special Issue Editors, Fuguo Xu, Tielong Shen, Junichi Kako, Yutaka Hirano and Rui Gao.

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Abstract

This paper proposes a hierarchical model predictive control (MPC) strategy for four in-wheel motor actuated electric vehicles (4-IWM EVs). Current studies on 4-IWM EVs mainly focus on a single objective. We propose a novel vehicle modeling method and a hierarchical MPC to address comprehensive problems of 4-IWM EVs in improving the vehicle’s efficiency and comfort while achieving accurate velocity tracking. The upper MPC aims to accurately track the desired velocity trajectory and the lower torque distribution controller aims to allocate the torque of each in-wheel motors to improve driving efficiency and comfort. The simulation results indicate that our method significantly enhances the tracking accuracy while improving driving efficiency and ride comfort compared to the widely used benchmark controller.

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Unmanned Systems
Pages 1729-1740

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Cite this article:
Li T, Li X, Hou Z, et al. Hierarchical MPC for Velocity Tracking in Four in-Wheel Motor Actuated Vehicles. Unmanned Systems, 2025, 13(6): 1729-1740. https://doi.org/10.1142/S2301385025430046

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Received: 31 May 2024
Accepted: 28 December 2024
Published: 22 March 2025
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