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LI Zhong-xing, TANG Wei, HUANG Jian-yu, LU Ying. Game control of multi-agent damper system for laterally interconnected air suspension[J]. Journal of Traffic and Transportation Engineering, 2018, 18(5): 130-139. doi: 10.19818/j.cnki.1671-1637.2018.05.013
Citation: LI Zhong-xing, TANG Wei, HUANG Jian-yu, LU Ying. Game control of multi-agent damper system for laterally interconnected air suspension[J]. Journal of Traffic and Transportation Engineering, 2018, 18(5): 130-139. doi: 10.19818/j.cnki.1671-1637.2018.05.013
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Game control of multi-agent damper system for laterally interconnected air suspension

doi: 10.19818/j.cnki.1671-1637.2018.05.013

  • School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China

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  • Author Bio:

    LI Zhong-xing(1963-), male, professor, PhD, jason1120183582@yahoo.co

  • Received Date: 2018-04-19
  • Publish Date: 2018-10-25
    Abstract
  • To further improve the ride comfort and handling stability of vehicles equipped with laterally interconnected air suspension (LIAS), on the basis of multi-agent theory and the cooperative game Shapley value principle, a multi-agent damper control system was constructed.The multi-agent vibration absorber control system was composed of an information publishing agent, ride comfort agent, handling stability agent, and game cooperation agent.The vehicle state information from the environment was obtained by the information publishing agent, and the information transmission was finished according to the information demand of the lower agent.The suspension dynamic travel and its changing rate information were received by the ride comfort agent, and its own damping coefficient intention was output according to the ride control requirements.The information of the current interconnected state was received by the handlingstability agent, the corresponding reasoning module was triggered, and the required damping coefficient was solved according to the information of the carbody roll angle.The reasoning module was formed by fuzzy neural network self-learning to the damping coefficient optimized by agenetic algorithm.The damping intents of the ride comfort agent and handling stability agent were received by the game cooperation agent, the damping intents were modified according to its own cooperative game rules, and the global optimal damping coefficient was outputted.Under different interconnected states and different excitation conditions, the static and dynamic characteristics of the air suspension were tested and compared with the simulation results, and the accuracy of the simulation model was verified.Under the condition of mixed construction, the feasibility and effectiveness of the multi-agent damper control system were verified by a vehicle simulation model.Analysis result shows that compared with the traditional damping control system, the multi-agent damper control system can effectively reduce the RMS values of the sprung mass acceleration, the suspension dynamic travel and the body roll angle by 14.95%, 10.64%and 12.33%, respectively.Therefore, the proposed system not only improves the ride stationarity and comfort, but also restrains the car's side inclination and improves the handling stability of the whole vehicle.

     

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