CarMaker/Simulink Modeling and Joint Simulation of Automotive ESP System
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摘要: 为提高车辆电子稳定程序的控制精度,通过分层模块化思想,提出以横摆角速度和质心侧偏角为输入量的ESP控制系统算法,最终输出稳定制动力矩提高车辆的操纵稳定性。为保证控制系统的准确性,采用CarMaker和Simulink联合建立虚拟仿真环境,并在ISO3888-2(2002)急促双移线试验工况下进行验证。结果表明:试验较好地验证了ESP系统算法的有效性;当横摆角速度和质心侧偏角的偏差值超过规定范围时,控制系统能准确实施制动干预,保证了车辆能准确跟踪驾驶员的期望路线。Abstract: In order to improve the control accuracy of vehicle electronic stability program, an ESP control system algorithm with yaw angular velocity and sideslip angle of center of mass as inputs is proposed through the idea of layered modularization, in which the stable braking moment is as final output to improve vehicle handling stability. In order to ensure the accuracy of the control system, CarMaker and Simulink were used to establish a virtual joint simulation environment, which was validated under the condition of ISO3888-2 (2002). The results show that the effectiveness of ESP system is validated by experiments. When the deviation between yaw rate and sideslip angle exceeds the prescribed range, the ESP control system can implement braking intervention accurately, which ensures that the vehicle can accurately track the driver's desired route..
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Key words:
- ESP system /
- yaw rate /
- sideslip angle of center of mass /
- joint simulation
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表 1 模糊规则表
e ec NB NM NS ZO PS PM PB NB PB PB PB PB PM ZO ZO NM PB PB PB PB PM ZO ZO NS PM PM PM PM ZO NS NS ZO PM PM PS ZO NS NM NM PS PS PS ZO NM NM NM NM PM ZO ZO NM NB NB NB NB PB ZO ZO NM NB NB NB NB 表 2 制动力矩控制规则表
车辆状态 决策算法 Sa Yr ey 转向特性 控制车轮 Sa > Sm Yr > 0 ey > 0 过度转向 右前轮 Sa > Sm Yr > 0 ey < 0 不足转向 左后轮 Sa > Sm Yr < 0 ey > 0 不足转向 右后轮 Sa > Sm Yr < 0 ey < 0 过度转向 左前轮 Sa < Sm Yr > 0 ey > 0 过度转向 左前轮 Sa < Sm Yr > 0 ey < 0 不足转向 右前轮 Sa < Sm Yr < 0 ey > 0 不足转向 右后轮 Sa < Sm Yr < 0 ey < 0 过度转向 左前轮 表 3 车辆动力学模型参数表
参数名称 参数值 整备质量,簧载质量/kg 1 463/1 301 轴距,轮距,质心高度/m 2.537/1.55/0.56 质心与前后轴之间的距离/m 1.12/1.417 车轮滚动半径/m 0.29 绕x/y/z轴的转动惯量/(kg·m2) 470/1 500/1 600 前后轮侧倾偏转系数 0.09/0.07 前后轮轮胎侧偏刚度/(N·rad−1) 0.085/0.065 前后轮总侧偏刚度/(N·m·rad−1) −40 000/−48 000 前后悬架总侧倾刚度/(N·m·rad−1) 72 150 前后悬架总侧倾阻尼/(N·m·s·rad−1) 3 460 -
[1] Zhang R Y, Shi P C, Zhao L F, et al. Research on coordinated control of electronic stability program and active suspension system based on function allocation and multi-objective fuzzy decision[J]. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2018, 232(9): 1155-1169 doi: 10.1177/0959651818776852 [2] Wu H, Zeng X H, Lai J, et al. Nonlinear hunting stability of high-speed railway vehicle on a curved track under steady aerodynamic load[J]. Vehicle System Dynamics, 2020, 58(2): 175-197 doi: 10.1080/00423114.2019.1572202 [3] Xu C, Tong D B, Chen Q Y, et al. Exponential stability of Markovian jumping systems via adaptive sliding mode control[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019 doi: 10.1109/TSMC.2018.2884565 [4] Xu K, Xu G Q, Li W M, et al. Anti-skid for electric vehicles based on sliding mode control with novel structure[C]//IEEE International Conference on Information and Automation. Shenzhen: IEEE, 2011 [5] Chu L, Gao X Z, Guo J H, et al. Coordinated control of electronic stability program and active front steering[J]. Procedia Environmental Sciences, 2012, 12: 1379-1386 doi: 10.1016/j.proenv.2012.01.439 [6] 郑晓鹏, 陈家琪. 汽车操纵稳定性的自适应控制策略研究[J]. 测控技术, 2015, 34(6): 63-66 doi: 10.3969/j.issn.1000-8829.2015.06.018Zhen X P, Zhu J Q. Research on strategy of adaptive control for vehicle handling stability[J]. Measurement & Control Technology, 2015, 34(6): 63-66 (in Chinese) doi: 10.3969/j.issn.1000-8829.2015.06.018 [7] 孙跃东, 郭森, 周萍. ESP系统的CarSim与Simulink联合仿真研究[J]. 机械设计与制造, 2018,(3): 16-18, 22 doi: 10.3969/j.issn.1001-3997.2018.03.006Sun Y D, Guo S, Zhou P. Combined simulation and research of ESP system by using CarSim and simulink[J]. Machinery Design & Manufacture, 2018,(3): 16-18, 22 (in Chinese) doi: 10.3969/j.issn.1001-3997.2018.03.006 [8] 刘秋生, 徐延海, 谭妍玮, 等. 基于模糊理论的4WID电动轮汽车横向稳定性控制研究[J]. 中国测试, 2016, 42(6): 104-111 doi: 10.11857/j.issn.1674-5124.2016.06.023Liu Q S, Xu Y H, Tan Y W, et al. Study on lateral stability control of 4WID electric-wheel vehicle based on fuzzy theory[J]. China Measurement & Test, 2016, 42(6): 104-111 (in Chinese) doi: 10.11857/j.issn.1674-5124.2016.06.023 [9] Mammar S, Baghdassarian V B. Two-degree-of-freedom formulation of vehicle handling improvement by active steering[C]//Proceedings of 2000 American Control Conference. Chicago: IEEE, 2000 [10] 余志生. 汽车理论[M]. 5版. 北京: 机械工业出版社, 2009: 144-147Yu Z S. Automobile theory[M]. 5th ed. Beijing: China Machine Press, 2009: 144-147 (in Chinese) [11] 王振臣, 程菊, 张聪, 等. 基于模糊控制的汽车ESP控制系统仿真[J]. 模糊系统与数学, 2013, 27(5): 88-94 doi: 10.3969/j.issn.1001-7402.2013.05.014Wang Z C, Cheng J, Zhang C, et al. Simulation and control strategy of automotive ESP system[J]. Fuzzy Systems and Mathematics, 2013, 27(5): 88-94 (in Chinese) doi: 10.3969/j.issn.1001-7402.2013.05.014 [12] 杨康. 汽车电子稳定系统(ESP)控制策略的研究[D].河北秦皇岛: 燕山大学, 2014Yang K. The research of control strategy of automobile ESP[D]. Hebei Qinhuangdao: Yanshan University, 2014 (in Chinese) [13] 王媛媛.ESP系统的制动力分配控制策略优化[D].长春: 吉林大学, 2011Wang Y Y. The optimization of braking force distribution control strategy for ESP system[D]. Changchun: Jilin University, 2011 (in Chinese) [14] Yim S. Coordinated control with electronic stability control and active steering devices[J]. Journal of Mechanical Science and Technology, 2015, 29(12): 5409-5416 doi: 10.1007/s12206-015-1142-6 [15] 赵红超, 史贤俊, 范绍里. 基于新型配置方式的自旋弹头变质心控制研究[J]. 航天控制, 2011, 29(4): 3-7, 13Zhao H C, Shi X J, Fan S L. The variable centroid control of a spinning warhead based on a new collocating mode[J]. Aerospace Control, 2011, 29(4): 3-7, 13 (in Chinese)