Affiliations: School of Mechanical Engineering, Wuhan Polytechnic University, Wuhan, China
Correspondence:
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Corresponding author. Deping Zhang, School of Mechanical Engineering, Wuhan Polytechnic University, 430048, Wuhan, China. E-mail: [email protected].
Abstract: The existing control method of wheel slip rate has a long braking time, the gap between the slip rate and the optimal slip rate is obvious, and there is a defect of poor control effect. In order to solve the above problems, the fuzzy algorithm is introduced to design the wheel slip control method. According to the characteristics of ESC system, the control model of wheel slip rate was built. On this basis, the least square optimization algorithm was used to estimate the best slip rate. Based on the estimated optimal slip rate, the multi-agent system was used to design the slip rate controller, and thus to get the threshold value of slip rate controller. Moreover, the fuzzy algorithm was used to optimize the parameters of slip rate controller, so as to keep the optimal slip ratio. Finally, the control for wheel slip ratio based on fuzzy algorithm was achieved. The simulation results show that the slip ratio of this method is kept between 0.18–0.45, which is less different from the optimal slip ratio. Compared with the existing control method of wheel slip ratio, the proposed control method of wheel slip ratio greatly improves the control effect, which fully shows that the proposed control method of wheel slip ratio has better performance.
