汽车工程 ›› 2019, Vol. 41 ›› Issue (8): 896-904.doi: 10.19562/j.chinasae.qcgc.2019.08.007

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基于智能体理论的横向互联空气悬架控制研究*

李仲兴1, 管晓星1, 江洪2   

  1. 1.江苏大学汽车与交通工程学院,镇江 212013;
    2.江苏大学机械工程学院,镇江 212013
  • 收稿日期:2018-08-16 出版日期:2019-08-25 发布日期:2019-09-03
  • 通讯作者: 李仲兴,教授,E-mail:zhxli@ujs.edu.cn
  • 基金资助:
    国家自然科学基金(51575241)

A Research on Control of Horizontally InterconnectedAir Suspension System Based on Agent Theory

Li Zhongxing1, Guan Xiaoxing1, Jiang Hong2   

  1. 1.School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013;
    2.School of Mechanical Engineering, Jiangsu University, Zhenjiang 212013
  • Received:2018-08-16 Online:2019-08-25 Published:2019-09-03

摘要: 为缓解横向互联空气悬架车辆行驶平顺性与操纵稳定性之间的矛盾,基于智能体理论构建横向互联空气悬架互联状态控制智能体系统。首先建立横向互联空气悬架整车模型并通过试验验证其准确性,随后在传统BDI(belief-desire-intention)智能体的基础上,加入汤普森抽样算法,建立具有在线自学习能力的仿天棚互联状态控制智能体。该智能体从传感器信息采集模块感知环境状态,通过其内部的推理过程和学习行为进行自学习,输出适应不同环境状态的仿天棚互联状态控制策略的关键参数——滞回区间至互联状态控制模块。在混合工况下进行仿真,结果表明,该系统使车辆在行驶平顺性与操纵稳定性之间取得了平衡。

关键词: 横向互联, 空气悬架, 智能体, BDI模型, 汤普森抽样

Abstract: To alleviate the contradiction between ride comfort and handling stability of laterally horizontally interconnected air suspension vehicles, an intelligent system for interconnecting state control agent system of laterally horizontally interconnected air suspension is constructed based on the agent theory. Firstly, a horizontally interconnected air suspension vehicle model is established and its accuracy is verified through experiments. Then, based on the structure of traditional BDI (belief-desire-intention) agent, Thompson sampling is adopted to build the imitated skyhook interconnecting state control agent with online self-learning ability. The environmental state information is sensed from the sensor information acquisition module firstly, and then self-learning is performed through the internal BDI reasoning process and learning behavior, and finally the key parameters of imitated skyhook interconnecting state control adapted to different environmental states are output (hysteresis range to the interconnected state control module). The simulation is carried out under the mixed condition and the results show that the system balances the ride comfort and handling stability of vehicles

Key words: horizontal interconnection, air suspension, agent, BDI model, Thompson sampling