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- Title
Detection of Brake Requests Using Neural Network and Fuzzy Control.
- Authors
LIU Yanyu; YU Fan; SONG Juanjuan; PANG Jisu; KAKU Chuyo
- Abstract
Aiming at ensuing the brake safety of vehicles, approaches for detecting driver brake requests were investigated by applying neural network and fuzzy control. Firstly, neural network algorithm and fuzzy control algorithm were used to complete preliminary judgment of driver's braking demands. And then, completion degree of braking actions of the braking systems was predated by feedback signals of the master cylinder pressure. Then the recognition results of braking demands were continuously fed back to track and modify in order to ensure the braking system of vehicles to achieve expected braking efficiency. The control algorithms were compared and validated by MAT-LAB/Simulink simulation tests and bench tests. The results show that the method may quickly and accurately identify the driver is braking demands and provide guarantee for vehicle braking safety.
- Subjects
FUZZY neural networks; BRAKE systems; REGENERATIVE braking; FUZZY algorithms
- Publication
China Mechanical Engineering, 2020, Vol 31, Issue 23, p2847
- ISSN
1004-132X
- Publication type
Article
- DOI
10.3969/j.issn.1004-132X.2020.23.009