Coordinated Tracking Control of the Integrated Wheel-End System Based on Generalized Instantaneous Steering Center Constraint

Compared to traditional chassis systems, the integrated wheel-end (IWE) offers independent control of each wheel. However, network delays in the CAN system challenge its high-precision cooperative tracking control. Therefore, this work proposes a coordinated tracking control strategy for the IWE system based on a generalized instantaneous steering center (ISC) constraint. First, the model of controlled objects based on ISC is established. It transforms the coordination problem of multiple IWE systems into the tracking control problem of single variable ISC to reduce the computational complexity. Second, considering the time-delay characteristics of multiactuator asynchronous communication, the event trigger condition based on the generalized ISC boundary is designed, and the generalized event-triggered IWE model predictive control (GET-MPC) strategy for time-delay systems is proposed. Its characteristic is that the control input time-delay factor is not only considered in the new controlled object model, but the influence of time-delay on tracking control performance is also further reduced by the generalized ISC trigger condition. The hardware-in-the-loop experiment results show that in the comprehensive test scenario, the average tracking error of the GET-MPC algorithm proposed in this article is reduced by 26.59%, effectively improving the system’s tracking accuracy under the network communication delay.

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Publication Details

Journal
IEEE Transactions on Transportation Electrification
Published
2025-02-05
DOI
https://doi.org/10.1109/tte.2025.3538892
Citations
10
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
12.15

Funders

Controls
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article

Coordinated Tracking Control of the Integrated Wheel-End System Based on Generalized Instantaneous Steering Center Constraint

Wanzhong Zhao, Zhongkai Luan, Chunyan Wang
10 citations
IEEE Transactions on Transportation Electrification
Simulation and Modeling Applications
12.15
article

Coordinated Tracking Control of the Integrated Wheel-End System Based on Generalized Instantaneous Steering Center Constraint

Wanzhong Zhao, Zhongkai Luan, Chunyan Wang
article en
10 citations

Abstract

Compared to traditional chassis systems, the integrated wheel-end (IWE) offers independent control of each wheel. However, network delays in the CAN system challenge its high-precision cooperative tracking control. Therefore, this work proposes a coordinated tracking control strategy for the IWE system based on a generalized instantaneous steering center (ISC) constraint. First, the model of controlled objects based on ISC is established. It transforms the coordination problem of multiple IWE systems into the tracking control problem of single variable ISC to reduce the computational complexity. Second, considering the time-delay characteristics of multiactuator asynchronous communication, the event trigger condition based on the generalized ISC boundary is designed, and the generalized event-triggered IWE model predictive control (GET-MPC) strategy for time-delay systems is proposed. Its characteristic is that the control input time-delay factor is not only considered in the new controlled object model, but the influence of time-delay on tracking control performance is also further reduced by the generalized ISC trigger condition. The hardware-in-the-loop experiment results show that in the comprehensive test scenario, the average tracking error of the GET-MPC algorithm proposed in this article is reduced by 26.59%, effectively improving the system’s tracking accuracy under the network communication delay.

IEEE Transactions on Transportation ElectrificationVol. 11(3)
Nanjing University of Aeronautics and Astronautics (CN)
China Postdoctoral Science Foundation, National Postdoctoral Program for Innovative Talents, China Automobile Industry Innovation and Development Joint Fund
Affordable and clean energy
Openalex Percentile: Top 1%
Simulation and Modeling Applications
12.15
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