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四轮独立转向-独立驱动电动车主动避障路径规划与跟踪控制 被引量:26

Path Planning and Tracking Control for Collision Avoidance of a 4WIS-4WID Electric Vehicle
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摘要 四轮独立转向-独立驱动电动车(4WIS-4WID EV)具有低速机动性强、高速稳定性好的特点,是一种理想的智能车构型。本文中针对4WIS-4WID EV进行了主动避障系统的设计,主要包括避障路径规划和跟踪控制。首先基于车辆运动学模型,提出了采用七次多项式的避障路径规划算法;然后基于简化2自由度车辆动力学模型,设计了模型预测路径跟踪控制器;为提高车辆主动避障过程中的操纵稳定性,路径跟踪控制算法采用四轮转向与直接横摆力矩控制技术。通过不同附着系数路面工况与侧风扰动工况仿真,验证了所设计的主动避障系统具有良好的避障能力和鲁棒性。 Four-wheel independent steering and four-wheel independent drive electric vehicle (4WIS-4WID EV) has good maneuverability at low speed and superior stability at high speed, so is an ideal autonomous vehicle. An active collision avoidance system for 4WIS-4WID EV is designed in this paper, mainly consisting of path planning and tracking control. Firstly, the path planning algorithm for collision avoidance is proposed using seven-order polynomial based on vehicle kinematic model. Then, the model predictive controller for path tracking is designed based on the simplified 2 DOF dynamic model. Four-wheel steering and direct yaw-moment control are applied to the path tracking algorithm to improve the handling stability of vehicle. The active collision avoidance performance and robustness of the system are verified by simulations under the conditions of different road adhesive coefficients and crosswind disturbance.
作者 杭鹏 陈辛波 张榜 史鹏飞 唐廷举 Hang Peng;Chen Xinbo;Zhang Bang;Shi Pengfei;Tang Tingju(School of Automotive Studies, Tongji University, Shanghai 201804;Clean Energy Automotive Engineering Center, Tongji University, Shanghai 201804;School of Mechanical Engineering, Tongji University, Shanghai 201804)
出处 《汽车工程》 EI CSCD 北大核心 2019年第2期170-176,共7页 Automotive Engineering
基金 国家自然科学基金(51375344和U1564207)资助
关键词 四轮独立转向独立驱动电动车 避障 路径规划 跟踪控制 模型预测控制 4WIS-4WID EV collision avoidance path planning tracking control model predictive control
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  • 1张颖,吴成东,原宝龙.机器人路径规划方法综述[J].控制工程,2003,10(z1):152-155. 被引量:66
  • 2于蕾艳,林逸,李玉芳.汽车线控转向系统综述[J].农业装备与车辆工程,2006,44(1):32-36. 被引量:16
  • 3马兆青,袁曾任.基于栅格方法的移动机器人实时导航和避障[J].机器人,1996,18(6):344-348. 被引量:91
  • 4徐友春,常明,刘洪泉,万剑,章永进,贺四清,陈富强.猎豹智能车无人驾驶系统总体设计[J].汽车工程,2006,28(12):1081-1085. 被引量:8
  • 5EIICHI ONE, YOSHIKAZU HATTORI, YUJI MURAGISHI Estimation of fires friction circle and vehicle dynamics interg rated control for four-wheel distributed steering and four-wheel distribute[J]. Traction/Braking Systems R&D Review of Toyota CRDL, 2005, 40(4):7-13.
  • 6WANG Junmin, RAUL G LONGORIA. Combined tire slip and slip angle tracking control for advanced vehicle dynamics control systems[ C ]//Proceedings of the 45th IEEE Conference on Decision & Control. San Diego, USA: IEEE Press, 2006: 1733-1738.
  • 7Thomas D Gillespie.车辆动力学基础[M].赵六奇,译.北京:清华大学出版社,2006.
  • 8Li Li,Song Jingyan,Wang Feiyue,et al.IVS 05:New Developments and Research Trends for Intelligent Vehicles[J].IEEE Intelligent Systems,2005,20(4):10-14.
  • 9Carlos de Wasseige,Pierre Defourny.Remote Sensing of Selective Logging Impact for Tropical Forest Management[J].Forest Ecology and Management,2004,188(10):161-173.
  • 10Kececi E Faruk,Tao Gang.Adaptive Vehicle Skid Control[J].Mechatronics,2006,16(5):291-301.

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