多作动器协同的特种车辆行车调平控制方法

张聪; 刘爽; 姜思远; 刘世纪

doi:10.12382/bgxb.2022.0928

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多作动器协同的特种车辆行车调平控制方法

更新时间：2025-08-18

- 多作动器协同的特种车辆行车调平控制方法
- Driving Leveling Control Method with Multi-Actuator Cooperation for Special Vehicles
- 兵工学报 2023年44卷第1期页码：98-107
- 作者机构：
  
  1. 燕山大学电气工程学院, 河北秦皇岛 066004
  2. 河北省工业计算机控制工程重点实验室, 燕山大学, 河北秦皇岛 066004
- 作者简介：
  
  *shliu@ysu.edu.cn
- 基金信息：
  
  河北省自然科学基金项目(A2022203024);国家自然科学基金项目(61873227);中央引导地方科技发展资金项目(基础研究项目)(216Z1902G);国家自然科学基金重点项目(U20A20332);省级重点实验室绩效补助经费项目(22567612H)
- DOI：10.12382/bgxb.2022.0928
  中图分类号：
- 收稿：2022-10-13，
  
  纸质出版：2023-02-10
- 稿件说明：
移动端阅览
张聪, 刘爽, 姜思远, 等. 多作动器协同的特种车辆行车调平控制方法[J]. 兵工学报, 2023,44(1):98-107.

Cong ZHANG, Shuang LIU, Siyuan JIANG, et al. Driving Leveling Control Method with Multi-Actuator Cooperation for Special Vehicles[J]. Acta Armamentarii, 2023, 44(1): 98-107.
张聪, 刘爽, 姜思远, 等. 多作动器协同的特种车辆行车调平控制方法[J]. 兵工学报, 2023,44(1):98-107. DOI： 10.12382/bgxb.2022.0928.

Cong ZHANG, Shuang LIU, Siyuan JIANG, et al. Driving Leveling Control Method with Multi-Actuator Cooperation for Special Vehicles[J]. Acta Armamentarii, 2023, 44(1): 98-107. DOI： 10.12382/bgxb.2022.0928.

摘要

针对国防军事、应急救援等国计民生重要领域中特种车辆行车调平的需求

基于多智能体一致性协同控制相关理论

提出多作动器协同的行车调平方法。将整车垂向模型分解为由作动器驱动的带有相互耦合特性的多智能体悬架节点

建立悬架节点动力学模型。构建基于悬架动行程的趋势引导动态基准和基准误差

摆脱现有调平方法对车身质心铅垂高的依赖

提出基于动态基准误差的多作动器协同行车调平方法。基于汽车系统仿真软件Carsim验证所提方法的有效性。研究结果表明

与整车型调平方法对比

所提方法更好地实现行车调平

调平精度提高了1到2个数量级;研究结果有助于进一步丰富和完善主动悬架控制技术体系

为解决特种车辆行车调平问题提供了全新思路和具体方法。

Abstract

To meet the requirements of special vehicle driving leveling in the important areas of the national economy and people’s livelihood

such as national defense and emergency rescue

a driving leveling control method with multi-actuator cooperation is proposed based on the theory of multi-agent cooperative consistency control. Firstly

the vertical model of the whole vehicle is decomposed into coupled multi-agent suspension nodes driven by actuators

and the dynamic model of the suspension node is established. Secondly

a trend-guided dynamic reference and reference error based on the suspension working space is constructed to get rid of the dependence of the existing driving leveling control method on the vertical height of the center of mass of the vehicle body. Furthermore

the driving leveling control method with multi-actuator cooperation based on the dynamic reference error is proposed. Finally

the effectiveness of the proposed method is verified with the vehicle system simulation software CarSim. The results show that compared with the whole vehicle leveling algorithm

the proposed algorithm can better achieve driving leveling

and that the leveling accuracy is raised by 1 to 2 orders of magnitude. This study is helpful to further enrich and improve the technology system of the active suspension control system

and provide a completely new idea and specific methodology for solving the driving leveling problem of special vehicles.

关键词

Keywords

references

郭超凯 . 揭秘“大火箭”活动发射平台三个之最:定位精度可达毫米级 [N/OL ] . 中国新闻网 , 2020 (2020-07-17). Available from: https://www.chinanews.com.cn/gn/2020/07-17/9240863.shtml https://www.chinanews.com.cn/gn/2020/07-17/9240863.shtml https://www.chinanews.com.cn/gn/2020/07-17/9240863.shtml.

GUO C K . Uncover the three most important aspects of the ‘big rocket’ mobile launch platform: the positioning accuracy can reach the millimeter level. [N/OL ] . Chinanews Online , 2020 (2020-07-17). https://www.chinanews.com.cn/gn/2020/07-17/9240863.shtml https://www.chinanews.com.cn/gn/2020/07-17/9240863.shtml https://www.chinanews.com.cn/gn/2020/07-17/9240863.shtml. (in Chinese)

武秀恒 , 秦嘉浩 , 杜岳峰 , 等 . 高地隙喷雾机主动空气悬架减振控制与实验 [J ] . 农业机械学报 , 2018 , 49 ( 6 ): 60 - 67 .

WU X H , QIN J H , DU Y F , et al. Experiments of vibration control for active pneumatic suspension system in high clearance self-propelled sprayer [J ] . Transactions of the Chinese Society for Agricultural Machinery , 2018 , 49 ( 6 ): 60 - 67 . (in Chinese)

王麒淦 , 冯静安 , 余希胜 , 等 . 高地隙喷雾机车液耦合作业平顺性优化 [J ] . 振动与冲击 , 2021 , 40 ( 16 ): 140 - 150 .

WANG Q G , FENG J A , YU X S , et al. Optimization of operation ride comfort for locomotive-liquid-road coupling of high-clearance sprayer [J ] . Journal of Vibration and Shock , 2021 , 40 ( 16 ): 140 - 150 . (in Chinese)

AHMAD I , GE X , HAN Q L . Decentralized dynamic event-triggered communication and active suspension control of in-wheel motor driven electric vehicles with dynamic damping [J ] . IEEE-CAA Journal of Automatica Sinica , 2021 , 8 ( 5 ): 971 - 986 .

张进秋 , 王兴野 , 贾进峰 , 等 . 主动悬架有限频域 H ∞ 时滞控制参数影响分析及优化 [J ] . 兵工学报 , 2018 , 39 ( 9 ): 1850 - 1857 . DOI: 10.3969/j.issn.1000-1093.2018.09.023 http://doi.org/10.3969/j.issn.1000-1093.2018.09.023 基于线性矩阵不等式的方法，设计了考虑控制输入时滞的有限频域H<sub>∞</sub>控制算法。在该算法设计中，以提高车辆乘坐舒适性、降低车体加速度为控制目标，以悬架动行程小于最大许用行程、车轮与地面始终保持良好接触、作动器出力小于其最大出力为控制的3个约束条件，分析了控制参数对求解结果的影响。针对控制参数经验取值难以得到控制的最优解，且不同时滞条件下参数取值不具有通用性的问题，提出了基于遗传算法的优化设计方法，并对求解得到的控制算法性能进行了仿真分析。结果表明：基于遗传算法优化设计并考虑了控制时滞的有限频域H<sub>∞</sub>控制算法，能够有效地降低时滞对控制的影响，提高车辆在4~8 Hz频域范围内的乘坐舒适性，且控制效果明显优于依靠经验设计的控制算法和未考虑控制输入时滞的控制算法。

ZHANG J Q , WANG X Y , JIA J F , et al. Parameter analysis and optimization of finite frequency H ∞ control with time delay for active suspension [J ] . Acta Armamentarii , 2018 , 39 ( 9 ): 1850 - 1857 . (in Chinese)

陈双 , 宗长富 , 刘立国 . 主动悬架车辆平顺性和操纵稳定性协调控制的联合仿真 [J ] . 汽车工程 , 2012 ( 9 ): 791 - 797 .

CHEN S , ZONG C F , LIU L G . Co-simulation on the coordinated control of ride comfort and handling stability of vehicles with active suspension [J ] . Automotive Engineering , 2012 ( 9 ): 791 - 797 . (in Chinese)

寇发荣 , 高亚威 , 景强强 , 等 . 基于路面等级自适应的主动悬架LQG控制 [J ] . 振动与冲击 , 2020 , 39 ( 23 ): 30 - 37 .

KOU F R , GAO Y W , JING Q Q , et al. LQG control of active suspension based on adaptive road surface level [J ] . Journal of Vibration and Shock , 2020 , 39 ( 23 ): 30 - 37 . (in Chinese)

段建民 , 黄小龙 , 陈阳舟 . 具有输入时滞的主动悬架鲁棒补偿控制 [J ] . 振动与冲击 , 2020 , 39 ( 24 ): 254 - 263 ,77.

DUAN J M , HUANG X L , CHEN Y Z . Robust compensation control for active suspension subject to input delay [J ] . Journal of Vibration and Shock , 2020 , 39 ( 24 ): 254 - 263 ,277. (in Chinese)

刘秋 , 孙晋伟 , 张华 , 等 . 基于卷积神经网络的路面识别及半主动悬架控制 [J ] . 兵工学报 , 2020 , 41 ( 8 ): 1483 - 1493 . DOI: 10.3969/j.issn.1000-1093.2020.08.002 http://doi.org/10.3969/j.issn.1000-1093.2020.08.002 路面对车辆的平顺性、操纵稳定性有直接影响，实时获取路面信息对提升车辆性能具有重要意义。针对传统路面识别方法中难以精确识别多种路面类型的问题，采用卷积神经网络对路面类型进行识别，并根据不同路面输入下悬架系统的输出响应来调整控制器参数，使可控悬架在不同路面下均保持最优性能。建立车辆1/4半主动悬架模型；搭建卷积神经网络基本结构并通过所采集的4种典型城市和非城市路面图像对网络进行训练以及测试；采用遗传算法求取沥青路、弹石路、砂石路、水泥路4种不同路面激励下悬架的最优控制参数；根据路面识别结果及优化结果实现悬架控制参数的自适应调整。仿真结果表明：基于卷积神经网络的路面识别方法能够对多种路面进行准确识别；基于路面识别和遗传算法的半主动悬架控制系统可根据不同路面类型自适应调整悬架参数，有效提升车辆性能。

LIU Q , SUN J W , ZHANG H , et al. Road identification and semi-active suspension control based on convolutional neural network [J ] . Acta Armamentarii , 2020 , 41 ( 8 ): 1483 - 1493 . (in Chinese) DOI: 10.3969/j.issn.1000-1093.2020.08.002 http://doi.org/10.3969/j.issn.1000-1093.2020.08.002 Road has a direct impact on vehicle ride comfort and handling stability, so that the real-time acquisition of road information plays an important role in improving the vehicle performance. The multiple types of road are difficultly identified accurately using traditional road identification methods. The convolutional neural network is used to identify the road type, and then the identified road type is used as the basis for tuning the controller parameters of suspension system in order to make the controllable suspension system maintain the optimal performance under different road surfaces. Firstly, the quarter-vehicle semi-active suspension model is established. Secondly, the basic structure of convolutional neural network is built, and this network is trained and tested based on four typical urban and non-urban road images collected in advance. And then genetic algorithm is used to obtain the optimal control parameters of suspension system under excitations of four different roads, such as asphalt road, sandstone road, pebble road and cement road. Finally, the suspension control parameters are adaptively adjusted according to both the identified and optimized results of road surface. The simulated results show that the road identification method based on convolutional neural network can accurately identify a variety of roads; the semi-active suspension control system based on road identification and genetic algorithm can adaptively adjust the suspension parameters according to different road surfaces, thus improving the vehicle performance effectively.

EL MAJDOUB K , GIRI F , CHAOUI F Z . Adaptive backstepping control design for semi-active suspension of half-vehicle with magnetorheological damper [J ] . IEEE-CAA Journal of Automatica Sinica , 2021 , 8 ( 3 ): 582 - 596 .

YOON D S , KIM G W , CHOI S B . Response time of magnetorheological dampers to current inputs in a semi-active suspension system: Modeling, control and sensitivity analysis [J ] . Mechanical Systems and Signal Processing , 2021 , 146 : 106999 . DOI: 10.1016/j.ymssp.2020.106999 http://doi.org/10.1016/j.ymssp.2020.106999 https://linkinghub.elsevier.com/retrieve/pii/S088832702030385X https://linkinghub.elsevier.com/retrieve/pii/S088832702030385X

董绪斌 . 基于电液伺服主动悬架的车身位姿稳定性控制研究 [D ] . 长春 : 吉林大学 , 2017 .

DONG X B . Research on vehicle attitude stability control with electro hydraulic servo active suspension [D ] . Changchun : Jilin University , 2017 . (in Chinese)

杜苗苗 . 多轴应急救援车辆主动悬架系统的控制策略研究 [D ] . 长春 : 吉林大学 , 2021 .

DU M M . Control strategy research on active suspension system of multi-axle emergency rescue vehicles [D ] . Changchun : Jilin University , 2021 . (in Chinese)

SUN W C , GAO H J , KAYNAK O . Adaptive backstepping control for active suspension systems with hard constraints [J ] . IEEE-ASME Transactions on Mechatronics , 2013 , 18 ( 3 ): 1072 - 1079 . DOI: 10.1109/TMECH.2012.2204765 http://doi.org/10.1109/TMECH.2012.2204765 http://ieeexplore.ieee.org/document/6236191/ http://ieeexplore.ieee.org/document/6236191/

YOUN I , IM J , TOMIZUKA M . Level and attitude control of the active suspension system with integral and derivative action [J ] . Vehicle System Dynamics , 2006 , 44 ( 9 ): 659 - 674 . DOI: 10.1080/00423110500523093 http://doi.org/10.1080/00423110500523093 http://www.tandfonline.com/doi/abs/10.1080/00423110500523093 http://www.tandfonline.com/doi/abs/10.1080/00423110500523093

YU M , EEVANGELOU S A , DINI D . Parallel active link suspension: full car application with frequency-dependent multi- objective control strategies [J ] . IEEE Transactions on Control Systems Technology , 2022 , 30 ( 5 ): 2046 - 2061 . DOI: 10.1109/TCST.2021.3130892 http://doi.org/10.1109/TCST.2021.3130892 https://ieeexplore.ieee.org/document/9646263/ https://ieeexplore.ieee.org/document/9646263/

KILICASLAN S . Control of active suspension system considering nonlinear actuator dynamics [J ] . Nonlinear Dynamics , 2018 , 91 : 1383 - 1394 . DOI: 10.1007/s11071-017-3951-x http://doi.org/10.1007/s11071-017-3951-x http://link.springer.com/10.1007/s11071-017-3951-x http://link.springer.com/10.1007/s11071-017-3951-x

ZHANG H , ZHENG X Y , LI H Y , et al. Active suspension system control with decentralized event-triggered scheme [J ] . IEEE Transactions on Industrial Electronics , 2020 , 67 ( 12 ): 10798 - 10808 . DOI: 10.1109/TIE.2019.2958306 http://doi.org/10.1109/TIE.2019.2958306 https://ieeexplore.ieee.org/document/8931686/ https://ieeexplore.ieee.org/document/8931686/

许力 , 曹青松 , 张定军 . 基于量子粒子群算法的主动悬架分数阶控制策略 [J ] . 振动与冲击 , 2021 , 40 ( 16 ): 227 - 233 .

XU L , CAO Q S , ZHANG D P . Fractional order control strategy of active suspension based on QPSO [J ] . Journal of Vibration and Shock , 2021 , 40 ( 16 ): 227 - 233 . (in Chinese)

周嘉明 , 董龙雷 , 孟超 , 等 . 基于强化学习的随机振动主动控制策略 [J ] . 振动与冲击 , 2021 , 40 ( 16 ): 281 - 286 .

ZHOU J M , DONG L L , MEMG C , et al. A active vibration control strategy based on reinforcement learning [J ] . Journal of Vibration and Shock , 2021 , 40 ( 16 ): 281 - 286 . (in Chinese)

张进秋 , 黄大山 , 姚军 . 车辆悬架系统振动控制 [M ] . 北京 : 国防工业出版社 , 2020 .

ZHANG J Q , HUANG D S , YAO J . Vibration control of vehicle suspension system [M ] . Beijing : Natinal Defense Industry Press , 2020 . (in Chinese)

NA J , HUANG Y B , PEI Q Q , et al. Active suspension control of full-car systems without function approximation [J ] . IEEE-ASME Transactions on Mechatronics , 2020 , 25 ( 2 ): 779 - 791 . DOI: 10.1109/TMECH.2019.2962602 http://doi.org/10.1109/TMECH.2019.2962602 https://ieeexplore.ieee.org/document/8943992/ https://ieeexplore.ieee.org/document/8943992/

XU J Q , CHEN C , LIN G B , et al. Multi point suspension cooperative modeling and control of low speed maglev vehicle [C ] //Proceeding of 2018 Chinese Automation Congress . Xi’an, China : IEEE , 2018 : 3317 - 3322 .

WEBB K , ROGERS J . Adaptive control design for multi-UAV cooperative lift systems [J ] . Journal of Aircraft , 2021 , 58 : 1 - 21 .

GULZAR M M , RIZVI STH , JAVED M Y , et al. Multi-agent cooperative control consensus: a comparative review [J ] . Electronics , 2018 , 7 ( 2 ): 22 . DOI: 10.3390/electronics7020022 http://doi.org/10.3390/electronics7020022 http://www.mdpi.com/2079-9292/7/2/22 http://www.mdpi.com/2079-9292/7/2/22

REN W , BEARD R W . Distributed consensus in multi-vehicle cooperative control: theory and applications [M ] . Springer , 2008 .

YOSHIMURA T , EMOTO Y . Steering and suspension system of a full car model using fuzzy reasoning and disturbance observers [J ] . International Journal of Vehicle Design , 2003 , 31 ( 2 ): 363 - 386 .

SOLTANI A , BAGHERI A , AZADI S . Integrated vehicle dynamics control using semi-active suspension and active braking systems [J ] . Proceedings of the Institution of Mechanical Engineers Part K-Journal of Multi-Body Dynamics , 2018 , 232 ( 3 ): 314 - 329 . DOI: 10.1177/1464419317733186 http://doi.org/10.1177/1464419317733186 http://journals.sagepub.com/doi/10.1177/1464419317733186 http://journals.sagepub.com/doi/10.1177/1464419317733186

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 - 69 . DOI: 10.1177/0959651818776852 http://doi.org/10.1177/0959651818776852 http://journals.sagepub.com/doi/10.1177/0959651818776852 http://journals.sagepub.com/doi/10.1177/0959651818776852

李仲兴 , 沈安诚 , 江洪 . 电控空气悬架多智能体博弈控制系统研究 [J ] . 汽车工程 , 2020 ; 42 ( 6 ): 793 - 800 , 31.

LI Z X , SHEN A C , JIANG H . Research on multi-agent game control system of an electronic air suspension [J ] . Automotive Engineering , 2020 , 42 ( 6 ): 793 - 800 , 31. (in Chinese)

李仲兴 , 管晓星 , 江洪 . 基于智能体理论的横向互联空气悬架控制研究 [J ] . 汽车工程 , 2019 , 41 ( 8 ): 896 - 904 .

LI Z X , GUAN X X , JIANG H . A Research on control of horizontally interconnected air suspension system based on agent theory [J ] . Automotive Engineering , 2019 , 41 ( 8 ): 896 - 904 . (in Chinese)

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