Tracking control of wheel slip based on new tracking differentiator

被引：0
|
作者：
Zhang J. [1 ,2 ]
Yang X. [3 ]
Shi Z. [3 ]
Zhao J. [1 ]
机构：
[1] State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun
[2] Intelligent Network Research and Development Institute, China FAW Group Co., Ltd., Changchun
[3] Zhejiang Asia-Pacific Mechanical and Electronic Co., Ltd., Hangzhou
来源：
Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | 2020年 / 50卷 / 04期
关键词：
Fuzzy inference system; New tracking differentiator; Tracking control of wheel slip; Vehicle engineering;
D O I：
10.3969/j.issn.1001-0505.2020.04.022
中图分类号：
学科分类号：
摘要：
Aiming at the requirements of direct yaw moment control system and automatic emergency braking system for the fast, accurate and stable tracking control of wheel slip, a wheel slip tracking controller based on a new tracking differentiator was proposed. First, a tracking control model for the wheel slip with lumped additive uncertainty was established by using the derivative of the wheel braking moment as a control variable and using the tracking error of the wheel slip and its derivative as state variables. Then, a new tracking differentiator was designed to estimate the tracking error of the wheel slip and its derivative to lay a foundation for full-state feedback(FSFB) tracking control of the wheel slip. Based on the output of the new tracking differentiator, a fuzzy inference system was used to estimate and compensate the lumped additive uncertainty, and a tracking control law for the wheel slip with the characteristic of fast convergence speed and the flutter-suppression ability was designed by combining the power function with the linear function. Finally, the feasibility and the effectiveness of the proposed controller were verified by simulation from the practical application. The simulation results show that the controller can track any desired wheel slip quickly, accurately and stably, and the wheel slip tracking residual is not greater than 0.333%. © 2020, Editorial Department of Journal of Southeast University. All right reserved.
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页码：767 / 774
页数：7
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