Discrete fuzzy adaptive PID control algorithm for automotive anti-lock braking system

被引：19
作者：
Feng, Xueli [1 ]
Hu, Jie [2 ]
机构：
[1] Hangzhou Polytech, Sch Elect Mech Engn, Hangzhou, Peoples R China
[2] Wuhan Univ Technol, Sch Automot Engn, Wuhan, Peoples R China
来源：
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING | 2021年
关键词：
Anti-lock braking system; Adaptive PID control algorithm; Mathematical model; Logical threshold control; Adaptive; FEEDBACK; DESIGN; MODEL;
D O I：
10.1007/s12652-020-02829-8
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Due to the low slip rate and poor braking performance of automobile anti-lock braking system, a discrete fuzzy adaptive PID control algorithm for automobile anti-lock braking system is designed in this paper. Based on the theory of discrete fuzzy adaptive PID control algorithm, the braking force of a vehicle is analyzed and the anti-lock control target is set. The automobile adhesion coefficient and wheel slip rate are calculated as the input and output of the PID control algorithm to complete the control of the anti-lock brake system of the network automobile. Experiments show that the sliding rate of the discrete fuzzy adaptive PID control algorithm of the designed anti-lock system is close to 20%, which proves that the design method has good braking effect.
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页数：10
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