基于非线性MPC方法的车辆稳定性控制

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英文篇名：Vehicle Stability Control Based on Nonlinear MPC Method 作者：郝西祥 ; 陈亚伟 ; 邵毅明 英文作者：HAO Xixiang;CHEN Yawei;SHAO Yiming;School of Traffic & Transportation,Chongqing Jiaotong University;School of Mechatronics & Vehicle Engineering,Chongqing Jiaotong University; 关键词：非线性模型预测控制 ; 最优控制算法 ; 车辆稳定性控制器设计 英文关键词：nonlinear model predictive control;;optimal control algorithm;;design of vehicle stability controller 中文刊名：CGGL 英文刊名：Journal of Chongqing University of Technology(Natural Science) 机构：重庆交通大学交通运输学院;重庆交通大学机电与车辆工程学院; 出版日期：2019-02-15 出版单位：重庆理工大学学报(自然科学) 年：2019 期：v.33;No.398 基金：国家重点研发计划资助项目(2016YFB0100905) 语种：中文; 页：CGGL201902005 页数：6 CN：02 ISSN：50-1205/T 分类号：33-38

摘要

针对非线性模型预测控制(NMPC)在车辆操纵控制过程中的实时性问题,提出了显式NMPC的解决方法,然后在显式NMPC中将优化问题进行离线求解,并通过在线评估得到满足要求的次优解。最后基于显式NMPC方法设计了一种车辆横摆和侧向稳定控制器,该控制器通过车辆的制动系统发挥作用。为验证控制器的有效性,进行了相关的仿真试验,分析了代价函数公式中权值的影响,并对最优控制问题的不同设置方案进行了比较分析。
        To solve the real-time problem of nonlinear model predictive control( NMPC) in vehicle control,an explicit NMPC solution was proposed first,and then the optimization problem was solved offline in the explicit NMPC,and the required sub-optimal solution was obtained through online evaluation. Finally,based on the explicit NMPC method,a vehicle yaw and lateral stability controller is designed in this paper. In order to verify the effectiveness of the controller,relevant simulation tests were carried out,the influence of weight in the formula of cost function was analyzed,and different settings of the optimal control problems were compared and analyzed.

引文

[1] BARBARISI O. LTV-MPC for yaw rate control and sideslip control with dynamically constrained differential bra-king[M]. Proc Eur Control Conf(ECC),2009,4810-4815.
    [2] CAIRANO Di S. Vehicle yaw stability control by coordi-nated active front steering and differential braking in thetire sideslip angles domain[J]. IEEE Trans on ControlSyst,2013,21(4):1236-1248.
    [3] CANALE M. Approximate NMPC for vehicle stability:de-sign,implementation and SIL testing[J]. Control EngPractice,2010,18(6):630-639.
    [4] PACEJKA H B. Tire and vehicle dynamics[M]. Oxford:Elsevier Ltd,2012.
    [5] GRANCHAROVA A. Computational aspects of approxi-mate explicit nonlinear model predictive control[C]//Assessment and Future Directions of Nonlinear ModelPredictive Control,Berlin. Heidelberg:Springer,2017,181-192.
    [6] GRANCHAROVA A,JOHANSEN T A. Explicit nonlinearmodel predictive control[J]. Theory and Applications,2012,429(13):779-797.
    [7] JOHANSEN T A. On multi-parametric nonlinear pro-gramming and explicit nonlinear model predictive control[C]//Proc 41st IEEE Conf on Decision and Control(CDC). USA:IEEE,2002:2768-2773.
    [8] METZLER M. Explicit nonlinear model predictive controlfor vehicle stability control[C]//Proc 9th Int MunichChassis Symp. Germany:Springer,2018:1-20.
    [9] UNECE. Addendum 12-H:Regulation No. 13-H,Rev. 2,Uniform provisions concerning the approval of passengercars with regard to braking[S]. 2011.