Multi-layer skid controller design of distributed electric drive mobile platform based on the optimal slip rate to improve its driving stability
文献类型: 外文期刊
作者: Chen, Feng;Ding, Junjie;Chen, Long;Zheng, Enlai;Luo, Zhitao;Lu, Yingtao;Shi, Yinyan;Wang, Xiaochan;Hu, Lianglong;Zhao, Shanhu
作者机构:
关键词: Protected horticulture;EDMP;System model;Tire-road friction;Skid control
期刊名称: JOURNAL OF TERRAMECHANICS
ISSN: 0022-4898
年卷期: 2025 年 121 卷
页码:
收录情况: SCIE(2025版) ; ; EI(2025版)
摘要: To improve the driving stability and safety of electric drive mobile platforms (EDMP) for protected horticulture, it is essential to minimize the excessive slip of driving wheels. Therefore, a tire-soil model is established and a dynamic model of EDMP with implement considering the influence of wheel slip on longitudinal motion is developed. Subsequently, a linear parameter-varying model incorporating longitudinal speed and wheel force is established. A state estimator utilizing an improved adaptive strong tracking unscented Kalman filter (ASTUKF) algorithm is proposed to obtain real-time friction coefficients of four wheels and determine the optimal slip rate. Based on this, a robust model predictive controller (RMPC) with the employment of linear matrix inequality is designed to suppress EDMP slip. Finally, to validate the effectiveness of the proposed controller, a real test system for the EDMP is developed. It's demonstrated that the slip rate of the EDMP can be significantly reduced through the implementation of the proposed skid control strategy. The average estimation errors of the ASTUKF are reduced by 95.5% and 81.6% compared to the KF and UKF, respectively. Under both straight and continuous steering conditions, the wheel slip rate errors are reduced by 48.33% and 55.63%, respectively.
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