Research on fuzzy PID control of direct drive volume control braking system with particle swarm optimization

The direct drive volume control system is featured by compact structure, strong anti-pollution capability, high energy efficiency, and ease of distributed control. Its integration with vehicle braking system is an important emerging development trend. A direct drive volume control pressure model based on AMESim and Simulink co-simulation was established to solve the problems of motor delay and system overshoot. The fuzzy PID controller is designed and compared with the Fuzzy PID controller with particle swarm optimization. Through simulation, it is verified that the Fuzzy PID controller particle swarm optimization controller has good effect in solving problems such as motor delay, system overshooting and pressure fluctuation.

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Publication Details

Published
2024-08-05
DOI
https://doi.org/10.1117/12.3039170
Primary Topic
Advanced Algorithms and Applications
Type
article
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article

Research on fuzzy PID control of direct drive volume control braking system with particle swarm optimization

Dewen Wang, Xiaoying Cui, Cuifen Li, chao yi
Advanced Algorithms and Applications
article

Research on fuzzy PID control of direct drive volume control braking system with particle swarm optimization

Dewen Wang, Xiaoying Cui, Cuifen Li, chao yi
article en

Abstract

The direct drive volume control system is featured by compact structure, strong anti-pollution capability, high energy efficiency, and ease of distributed control. Its integration with vehicle braking system is an important emerging development trend. A direct drive volume control pressure model based on AMESim and Simulink co-simulation was established to solve the problems of motor delay and system overshoot. The fuzzy PID controller is designed and compared with the Fuzzy PID controller with particle swarm optimization. Through simulation, it is verified that the Fuzzy PID controller particle swarm optimization controller has good effect in solving problems such as motor delay, system overshooting and pressure fluctuation.

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