平衡重式叉车防侧翻模型预测控制研究

doi:10.3969/j.issn.1004-132X.2021.08.013

摘要/Abstract

摘要： 为降低叉车在高速转向时发生侧翻的概率，设计了一种液压支撑油缸作为执行机构，为叉车提供侧向支撑力。针对叉车行驶过程中的安全域判断问题，提出基于零力矩点的叉车行驶状态划分策略，以零力矩点沿侧向分量与叉车支撑平面的关系作为划分依据，并考虑侧翻过程中叉车支撑平面的变化，将叉车侧倾过程分为安全行驶、危险可控以及临界侧翻3个阶段：在安全阶段油缸不提供支撑力；在危险可控阶段基于模型预测控制算法进行油缸支撑力和叉车姿态的调节；在临界侧翻阶段控制油缸为车身提供最大支撑力。该方法以三自由度叉车侧倾模型为控制对象和零力矩点计算的依据，在MATLAB/Simulink中搭建防侧翻控制器进行欧标工况仿真，并进行了实车试验，验证了防侧翻模型预测控制的有效性。

关键词: 平衡重式叉车, 防侧翻, 零力矩点, 模型预测控制, 实车试验

Abstract: In order to reduce the probability of forklift rollover when turning at high speed, a hydraulic support cylinder was designed as actuator to provide lateral support force for the forklift truck. Aiming at the problems of judging the safe region of forklift truck in the driving processes, the dividing strategy of forklift driving states was proposed based on zero moment point. Taking the relationships between lateral component of zero moment point and forklift support plane as dividing basis, and considering the change of forklift support plane in rollover processes, the forklift rollover processes were divided into 3 stages of safe run, danger controllable and critical rollover. In safe run stages, the cylinder didnt provide support force. In danger controllable stages, the model predictive control algorithm was used to adjust cylinder support force and forklift attitude. In critical rollover stages, the cylinder was controlled to provide the maximum support force for the body. This method took a 3-DOF forklift truck roll model as control object and as the basis of zero moment point calculation. Then an anti-roll controller was built in Matlab/Simulink to simulate under European standard working conditions and real vehicle tests were carried out. Therefore, the validity of the anti-rollover model predictive control was verified.

Key words: counterbalanced forklift truck, anti-rollover, zero moment point, model predictive control, real vehicle test

中图分类号:

U294.272

夏光, 李嘉诚, 唐希雯, 张洋, 陈无畏. 平衡重式叉车防侧翻模型预测控制研究[J]. 中国机械工程, 2021, 32(08): 987-996.

XIA Guang, LI Jiacheng, TANG Xiwen, ZHANG Yang, CHEN Wuwei. Reaserch on Anti-rollover Model Predictive Control of Counterbalanced Forklift Trucks[J]. China Mechanical Engineering, 2021, 32(08): 987-996.

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链接本文: http://www.cmemo.org.cn/CN/10.3969/j.issn.1004-132X.2021.08.013

http://www.cmemo.org.cn/CN/Y2021/V32/I08/987

参考文献

［1］刘丹,田志成,刘志勇,等.叉车货叉行业现状分析［J］. 工程机械与维修, 2019(4):30-32.

LIU Dan, TIAN Zhicheng, LIU Zhiyong, et al. Analysis of the Status of Forklift Truck Industry［J］. Construction Machinery and Maintenance, 2019(4):30-32.

［2］刘志勇,田志成,刘兵,等. 我国叉车行业发展态势的分析和解读［J］. 工程机械与维修, 2018, 281(4):20-21.

LIU Zhiyong, TIAN Zhicheng, LIU Bing, et al. Analysis and Interpretation of the Development Trend of Chinas Forklift Industry［J］. Construction Machinery and Maintenance, 2018, 281(4):20-21.

［3］张德良. 平衡重式叉车稳定性的几点思考［J］. 装备维修技术, 2019(3):178-180.

ZHANG Deliang. Considerations on the Stability of Counterbalanced Forklift Trucks［J］. Equipment Maintenance Technology, 2019(3):178-180.

［4］谢海. 平衡重式叉车主动安全技术研究［D］.合肥:合肥工业大学，2018.

XIE Hai. Research on Active Safety Technology of Counterbalanced Forklift［D］. Hefei: Hefei University of Technology, 2018.

［5］黄帅. 基于联合仿真的平衡重式叉车横向稳定性控制研究［D］. 合肥:合肥工业大学，2018.

HUANG Shuai. Research on Control of Lateral Stability of Balanced Forklift Based on Joint Simulation［D］. Hefei: Hefei University of Technology, 2018.

［6］RINCHIM, PUGI L, BARTOLINI F, et al. Design of Control System to Prevent Forklift Capsize［J］. International Journal of Vehicle Systems Modelling and Testing, 2010, 5(1): 35-58.

［7］SPOONERR E, DOWNING T R. Automatic Overload Control for a Counterbalanced Lift Truck: US, 05/534454［P］. 1976-06-01.

［8］LEMERLE P, MISTROT P. Parametrical Study of the Tire Properties to Optimise the Vibratory Behaviour of a Forklift Truck［R］. Paris:INRS, 2001.

［9］LEMERLE P, HPPNER O, REBELLE J. Dynamic Stability of Forklift Trucks in Cornering Situations: Parametrical Analysis Using a Driving Simulator［J］. Vehicle System Dynamics, 2011, 49(10): 1673-1693.

［10］夏光, 陈无畏, 赵林峰, 等. 平衡重式叉车底盘小波网络动态逆内模控制［J］. 机械工程学报, 2015, 51(18): 126-135.

XIA Guang, CHEN Wuwei, ZHAO Linfeng, et al. Wavelet Network Dynamic Inverse Internal Model Control for Counterweight Forklift Chassis［J］. Journal of Mechanical Engineering, 2015, 51 (18): 126-135.

［11］刘显贵, 姜梦平, 许超,等. 平衡重叉车横向动态稳定安全性控制［J］. 安全与环境学报, 2018,18(5):1823-1828.

LIU Xiangui, JIANG Mengping, XU Chao, et al. Control of Lateral Dynamic Stability and Safety of Counterbalanced Forklifts［J］. Journal of Safety and Environment, 2018,18 (5):1823-1828.

［12］夏光, 张洋, 唐希雯,等. 平衡重式叉车防侧翻分层控制研究［J］.中国机械工程, 2019,30(17):2066-2075.

XIA Guang, ZHANG Yang, TANG Xiwen, et al. Research on Layered Control of Anti-rollover for Balance Weight Forklift［J］. China Mechanical Engineering, 2019,30(17): 2066-2075.

［13］夏光, 杜克, 谢海, 等. 基于侧倾分级的叉车横向稳定性变论域模糊控制［J］. 机械工程学报,2018,55(12):157-167.

XIA Guang, DU Ke, XIE Hai, et al. Variable Domain Fuzzy Control of Forklift Lateral Stability Based on Roll Classification［J］. Journal of Mechanical Engineering, 2018,55 (12):157-167.

［14］万滢. 液罐车辆车-液耦合动力学特性与防侧翻控制方法研究［D］. 长春:吉林大学, 2018.

WAN Ying. Research on Vehicle-liquid Coupling Dynamic Characteristics and Anti-rollover Control Method of Liquid Tank Vehicle［D］. Changchun:Jilin University, 2018.

［15］朱天军. 基于改进TTR重型车辆侧翻预警及多目标稳定性控制算法研究［D］. 长春:吉林大学, 2010.

ZHU Tianjun. Research on Rollover Warning and Multi-object Stability Control Algorithm of Heavy Vehicle Based on Improved TTR［D］. Changchun: Jilin University, 2010.

［16］DEKKERM H P. Zero-moment Point Method for Stable Biped Walking［D］. Eindhoven： Eindhoven University of Technology, 2009.

［17］KIM D, SEO S J, PARK G T. Zero-moment Point Trajectory Modelling of a Biped Walking Robot Using an Adaptive Neuro-fuzzy System［J］. IEEE Proceedings-Control Theory and Applications, 2005, 152(4): 411-426.

［18］罗昌杰, 邓宗全, 刘荣强, 等. 基于零力矩点理论的腿式着陆器着陆稳定性研究［J］. 机械工程学报, 2010,46(9): 38-45.

LUO Changjie, DENG Zongquan, LIU Rongqiang, et al. Research on Landing Stability of Leg Lander Based on Zero Torque Point Theory［J］. Journal of Mechanical Engineering, 2010,46(9): 38-45.

［19］许芳, 靳伟伟, 陈虹,等. 一种模型预测控制器的 FPGA 硬件实现［J］. 吉林大学学报（工学版）, 2014，44(4): 1042-1050.

XU Fang, JIN Weiwei, CHEN Hong, et al. FPGA Hardware Implementation of a Model Predictive Controller［J］. Journal of Jilin University (Engineering and Technology Edition), 2014,44 (4): 1042-1050.

［20］魏杰. 汽车主动前轮转向的控制策略研究［D］. 北京:北京理工大学，2015.

WEI Jie. Research on Control Strategy of Automobile Active Front Wheel Steering［D］. Beijing: Beijing Institute of Technology, 2015.

［21］王震宇. 无人驾驶车辆换道控制方法研究［D］. 南京:东南大学，2016.

WANG Zhenyu. Research on the Lane Changing Control Method of Unmanned Vehicles［D］. Nanjing: Southeast University, 2016.

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