A Fuzzy-PID Scheme for Low Speed Control of a Vehicle While Going on a Downhill Road

Liqiang Jin, Ronglin Zhang, Binghao Tang and Hao Guo
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Liqiang Jin: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
Ronglin Zhang: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
Binghao Tang: Zhejiang Asia-Pacific Mechanical & Electronic Co., Ltd., Hangzhou 311203, China
Hao Guo: Zhejiang Geely Automobile Research Institute Co., Ltd., Ningbo 315336, China

Energies, 2020, vol. 13, issue 11, 1-18

Abstract: We explored a vehicle hill descent control (HDC) system based on an electronic stability program (ESP) and applied this system to brake cars. The experimental results reveal that our system can effectively reduce the workload of a driver during a downhill journey. In the first phase of our work, the control strategy of the HDC system based on fuzzy-PID (Proportion Integral Differential) was built by MATLAB/Simulink. Then, the co-simulation based on MATLAB/Simulink, CarSim and AMESim was carried out. Finally, a real vehicle test was conducted to further verify the feasibility of the strategy. A series of simulation experiments and real vehicle tests show that the HDC system can assist the driver to control the vehicle while driving downhill at low speed, thus effectively improving the safety of the vehicle and reducing the workload of driver.

Keywords: HDC; ESP; Fuzzy-PID; co-simulation; real vehicle tests (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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