汽车半主动悬架整车协调控制策略

doi:10.16182/j.issn1004731x.joss.18-0506

系统仿真学报 ›› 2020, Vol. 32 ›› Issue (4): 700-708.doi: 10.16182/j.issn1004731x.joss.18-0506

汽车半主动悬架整车协调控制策略

郭全民, 张豪文, 王言

西安工业大学电子信息工程学院,陕西西安 710021

收稿日期:2018-07-23 修回日期:2018-11-07 出版日期:2020-04-18 发布日期:2020-04-16
作者简介:郭全民(1974-),男,陕西渭南,博士,教授,研究方向为智能控制、智能信息处理及模式识别。
基金资助:
陕西省重点研发计划(2019GY-094),陕西省教育厅科研计划(14JK1342)

Vehicle Coordination Strategy for Semi-active Suspension Vehicles

Guo Quanmin, Zhang Haowen, Wang Yan

School of Electronic Information Engineering, Xi’an Technological University, Xi’an 710021, China

Received:2018-07-23 Revised:2018-11-07 Online:2020-04-18 Published:2020-04-16

摘要/Abstract

摘要： 为了实现对汽车垂向、俯仰和侧倾方向振动的协同控制,提出一种半主动悬架整车协调控制策略。该策略中模糊PID控制器根据车身垂向、俯仰和侧倾方向的振动状态预估出相应的3个期望调整力;通过设计的带有前后轴调控参数的力协调器和转向控制策略,将期望调整力协调到4个磁流变阻尼器并输出可调阻尼力,实现对汽车3个方向振动的协调控制。连续不平路况和离散冲击路况下的试验结果表明,整车的平顺性和操纵稳定性都得到了提高,同时有益于汽车的中性转向。

关键词: 半主动悬架, 协调控制, 模糊PID, 力协调器, 转向控制策略

Abstract: In order to realize the coordinated control of the vertical, pitch and roll vibration of vehicle, a coordinated control strategy of vehicle semi-active suspension is proposed. In the strategy, the fuzzy PID controllers estimate three adjustment forces according to the vibration state in vertical, pitch and roll directions. Through the designed force coordinator with the control parameters of the front and back axes and the steering control strategy, the expected adjustment forces are coordinated to the four magnetorheological dampers to output the adjustable damping forces and realize the coordinated control of the vehicle vibration in three directions. The experimental results on the continuous uneven and discrete impact road conditions show that the strategy improves the ride comfort and handling stability of vehicle, and is beneficial to the vehicle neutral steering.

Key words: semi-active suspension, coordinated control, fuzzy PID, force coordinator, steering control strategy

中图分类号:

郭全民, 张豪文, 王言. 汽车半主动悬架整车协调控制策略[J]. 系统仿真学报, 2020, 32(4): 700-708.

Guo Quanmin, Zhang Haowen, Wang Yan. Vehicle Coordination Strategy for Semi-active Suspension Vehicles[J]. Journal of System Simulation, 2020, 32(4): 700-708.

参考文献 12

[1]	Tseng H E, Hrovat D.State of the Art Survey: Active and Semi-active Suspension Control[J]. Vehicle System Dynamics (S0042-3114), 2015, 53(7): 1034-1062.
[2]	陈虹, 宫洵, 胡云峰, 等. 汽车控制的研究现状与展望[J]. 自动化学报, 2013, 39(4): 322-346.Chen Hong, Gong Xun, Hu Yunfeng, et al.Automotive Control: the State of the Art and Perspective[J]. Acta Automatica Sinica, 2013, 39(4): 322-346.
[3]	魏天将, 赵亮, 韦宏法. 汽车悬架对整车操纵稳定性影响的仿真研究[J]. 计算机仿真, 2015, 32(11): 193-198.Wei Tianjiang, Zhao Liang, Wei Hongfa.The Simulation of Automotive Suspension Analysis to Vehicle Handling Stability[J]. Computer Simulation, 2015, 32(11): 193-198.
[4]	张亮修, 杨家颖, 吴光强. 考虑侧倾的半主动悬架与电子稳定控制系统集成控制[J]. 同济大学学报(自然科学版), 2016, 44(3): 402-410.Zhang Liangxiu, Yang Jiaying, Wu Guangqiang.Integrated Control Based on Semi-Active Suspension and Electronic Stability Control System Considering Active Roll Control[J]. Journal of Tongji University (Natural Scicence), 2016, 44(3): 402-410.
[5]	王梦琳, 孙涛, 郑松林, 等. 基于底盘子系统协同控制的车辆防侧翻性能分析[J]. 系统仿真学报, 2015, 27(1): 163-170.Wang Menglin, Sun Tao, Zheng Songlin, et al.Simul- ation of Anti-rollover Performance Based on Chassis Collaborative Control[J]. Journal of System Simulation, 2015, 27(1): 163-170.
[6]	Fei X, Lan F C, Chen J Q, et al.Investigation into Improvement for Anti-rollover Propensity of SUV[J]. Chinese Journal of Mechanical Engineering (S1000-9345), 2017, 30(3): 1-13.
[7]	Xu G, Zhang N, Roser H M.Roll and Pitch Independently Tuned Interconnected Suspension: Modelling and Dynamic Analysis[J]. Vehicle System Dynamics (S0042-3114), 2015, 53(12): 1830-1849.
[8]	方敏, 汪洪波, 刘跃, 等. 基于功能分配的汽车主动悬架控制的研究[J]. 汽车工程, 2015, 37(2): 200-206.Fang Min, Wang Hongbo, Liu Yue, et al.A Study on the Control of Vehicle Active Suspension Based on Function Allocation[J]. Automotive Engineering, 2015, 37(2): 200-206.
[9]	Yao J L, Taheri S, Tian S M, et al.A Novel Semi-active Suspension Design based on Decoupling Skyhook Control[J]. Journal of Vibroengineering (S1392-8716), 2014, 16(3): 1318-1325.
[10]	Guo Q M, Hua D X, Kong L F, et al.Parallel Coordinating Control Strategy for Vehicle Magnet-orheological Semi-active Suspension[J]. Journal of the Balkan Tribological Association (S1310-4772), 2016, 22(3): 2535-2552.
[11]	Williams D E, Haddad W M.Nonlinear Control of Roll Moment Distribution to Influence Vehicle yaw Characteristics[J]. IEEE Transactions on Control Systems Technology (S1063-6536), 1995, 3(1): 110-116.
[12]	Spencer Jr B F, Dyke S J, Sain M K, et al. Phenomenological Model for Magne-torheological Damper[J]. Journal of Engineering Mechanics (S0733-9399), 1997, 123(3): 230-238.

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汽车半主动悬架整车协调控制策略

Vehicle Coordination Strategy for Semi-active Suspension Vehicles

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