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| Ride Comfort of Hydro-pneumatic Suspension Based on RBF Neural Network |
| Received:January 26, 2024 Revised:February 26, 2024 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7643/issn.1672-9242.2024.03.015 |
| KeyWord:hydro-pneumatic spring autonomic conditioning dynamically adjusted RBF-PID controller reach stable state quickly reliable control |
| Author | Institution |
| DUAN Jie |
College of Mechatronic Engineering, North University of China, Taiyuan , China |
| CHEN Xilong |
College of Mechatronic Engineering, North University of China, Taiyuan , China |
| YANG Hongjie |
College of Mechatronic Engineering, North University of China, Taiyuan , China |
| ZHAO Heming |
College of Mechatronic Engineering, North University of China, Taiyuan , China |
| ZHAO Taoshuo |
China North Vehicle Research Institute, Beijing , China |
| DING Mingjun |
Huaihai Industries Group Co., Ltd., Shanxi Changzhi , China |
| KONG Dejing |
Shipbuilding Information Centre of China, Beijing , China |
| YU Jing |
Shipbuilding Information Centre of China, Beijing , China |
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| Abstract: |
| The work aims to improve the driving performance of the whole vehicle so that the vehicle can autonomic conditioning to adapt to a variety of different road surfaces to achieve a good buffer effect. The composition and working principle and relationship between the damping force and stiffness of hydro-pneumatic spring and the displacement of vehicle body was deduced in detail. According to the principle of RBF neural network control, a RBF-PID controller was designed, and the PID parameters were dynamically adjusted by the self-learning habit of neural network, so that the vibration of the whole body attenuated and reached a stable state quickly. A simulation model was established based on Matlab/Simulink platform. With the input of Class B and Class C uneven road surface, the three performances of tire dynamic load, body centroids acceleration and dynamic deflection of oil-gas suspension were simulated and analyzed. Compared with the ordinary PID control, the RMSE of three performance of the body under RBF-PID control was reduced by 26%, 54% and 0.3% respectively. RBF-PID control can overcome the impact of the environment, realize the reliable control of the characteristics of the oil-gas spring, and improve the ride comfort and stability of the vehicle. |
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