汽车工程

汽车工程 ›› 2019, Vol. 41 ›› Issue (5): 550-555.doi: 10.19562/j.chinasae.qcgc.2019.05.011

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离合器最优控制权系数变化对车辆性能的影响*

金辉, 于倩   

  1. 北京理工大学智能车辆研究所,北京 100081
  • 收稿日期:2018-05-10 发布日期:2019-06-05
  • 通讯作者: 金辉,副教授,博士,E-mail:jinhui@bit.edu.cn
  • 基金资助:
    国家自然科学基金(51875040)资助

A Research on the Relationship Between Weight Coefficient Variation ofClutch Optimal Control and the Vehicle Performances

Jin Hui, Yu Qian   

  1. Research Center of Intelligent Vehicle, Beijing Institute of Technology, Beijing 100081
  • Received:2018-05-10 Published:2019-06-05

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摘要： AMT车辆起步时的离合器控制问题是多目标控制问题,所以采用多目标约束下的代价函数最小为目标的最优控制策略,理论上更适合AMT车辆的起步控制。但最优控制中的权系数,在以往文献中都是由设计者主观自行选定,没有明确依据,为此,本文中进行了权系数变化对车辆起步性能影响的研究。首先,建立了离合器模型,采用最优控制算法,针对由滑摩时间、冲击度和滑摩功构建的车辆起步综合性能泛函,设计了线性二次型调节器;其次,通过层次分析法,根据极端驾驶员风格确定了权系数变化范围;最后,通过大量仿真实验,分析了当权系数变化时,车辆各个起步性能指标随之变化的情况。

关键词: 离合器最优控制, 权系数, 层次分析法, 驾驶员风格

Abstract: Clutch control for a vehicle equipped with an automated manual transmission (AMT) during starting process is a multi-objective optimization problem. So the optimal control strategy, based on the minimum cost function of multi-objective constraints, is more suitable for the starting control of AMT vehicles theoretically. However, the weight coefficients in the optimal control strategy are chosen by the designers' subjectivity without definite theories in previous researches. Therefore, the influence of the weight coefficient variation on the starting performance of vehicle is studied in this paper. Firstly, the clutch model is established and the optimal control algorithm is used to design the linear quadratic regulator (LQR), in which the friction time, impact and friction work are selected as vehicle starting optimization indexes. Secondly, according to extreme driving styles, the variation ranges of weight coefficients are determined by analytic hierarchy process (AHP). Finally, the variations of vehicle starting performance indexes when weight coefficients change are investigated and analyzed by a large number of simulation experiments.

Key words: clutch optimal control, weight coefficient, analytic hierarchy process, driving style