期刊文献+

基于模型预测控制的轮腿式自平衡机器人运动控制方法

Motion control method of wheeled-legged self-balancing robots based on model predictive control
下载PDF
导出
摘要 对于五连杆结构的轮腿式自平衡机器人,传统的倒立摆建模方法未考虑航向角等自由度,控制性能较差。对此提出一种新的建模与控制方法。首先,通过虚拟模型控制和辅助控制器实现机器人部分自由度的控制,同时对系统进行解耦,建立较为精简的整体运动模型。其次,因传统线性二次型调节器控制器无法解决腿部运动范围受限问题,设计模型预测控制器以预测未来周期内的运动状态,优化求解约束范围内的控制量,控制器输出通过虚拟模型控制映射为关节电机力矩,从而实现机器人的运动控制。最后,对轮腿式机器人进行仿真实验。仿真结果表明,该方法能够较好地跟踪控制指令的效果,具有较好的抗干扰能力。 A wheeled-legged self-balancing robot with a five-link structure in its legs has poor control performance due to that traditional modeling method of inverted pendulum does not take account of heading.This paper proposes a new modeling and control approach to solve this problem.Firstly,by employing the virtual model control and auxiliary controllers,control of the robot’s partial degrees of freedom is achieved while decoupling the system to establish a simplified overall motion model.Secondly,due to the limitation of traditional linear quadratic regulator controllers in addressing the restricted range of leg motion,a model predictive controller is designed to predict the motion state within future cycles,optimizing control inputs within the constraint range.The controller output is mapped into a joint motor torque through virtual model control to achieve robot motion control.Finally,simulation experiments on the wheeledlegged robot demonstrate that this method effectively tracks control commands and exhibits good disturbance rejection capabilities.
作者 叶梁杰 杨忠 卓浩泽 许诺 眭耀宇 何乃峰 YE Liangjie;YANG Zhong;ZHUO Haoze;XU Nuo;SUI Yaoyu;HE Naifeng(College of Automation,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;Electric Power Research Institute of Guangxi Power Grid Co.,Ltd,Nanning 530001,China;Dongguan Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Dongguan 523000,China)
出处 《应用科技》 CAS 2024年第5期134-140,166,共8页 Applied Science and Technology
基金 广西电网公司2023年科技创新项目(GXKJXM20230169) 贵州省科技计划项目(黔科合支撑[2020]2Y044号)。
关键词 轮腿式机器人 移动机器人 五连杆结构 运动控制 模型预测控制 虚拟模型控制 平衡控制 运动学与动力学 wheeled-legged robot mobile robot five-link structure motion control model predictive control virtual model control balance control dynamics and kinematics models
  • 相关文献

参考文献9

二级参考文献28

  • 1王树新,姜文兰,刘又午.多臂机器人系统的动力学分析与实验[J].天津大学学报,1996,29(4):533-537. 被引量:3
  • 2于红英,唐德威,王建宇.平面五杆机构运动学和动力学特性分析[J].哈尔滨工业大学学报,2007,39(6):940-943. 被引量:41
  • 3DJUROVIC M D,VUKOBRATOVIC M K.A Contribution to dynamic modeling of cooperating manipulation[J].Mechanism and Machine Theory.1990,25(4):407-415. 被引量:1
  • 4DIBAKAR S,MRUTHYUNJAYA T S.A centro-based characterization of singularities in the workspace of planar closed-loop manipulators[J].Mechanism and Machine Theory,1998,33(8):1091-1100. 被引量:1
  • 5徐国保,尹怡欣,周美娟.智能移动机器人技术现状及展望[J].机器人技术与应用,2007(2):29-34. 被引量:81
  • 6Kalakrishnan M, BuchliJ, PastorP, etal. Learning,planning, and control for quadruped locomotion overchallengingterrain[J].TheInternationalJournalofRoboticsResearch,2011,30(2):236-258. 被引量:1
  • 7PrahladV,DipG,MengHweeC.DisturbancerejectionbyonlineZMP compensation[J].Robotica,2008,26(1):9-17. 被引量:1
  • 8IjspeertA.Centralpatterngeneratorsforlocomotioncontrolinanimalsandrobots:Areview[J].NeuralNetworks,2008,21(4):642-653. 被引量:1
  • 9KimuraH,FukuokaY,CohenA.Adaptivedynamicwalkingofaquadrupedrobotonnaturalgroundbasedonbiologicalconcepts[J].TheInternationalJournalofRoboticsResearch,2007,26(5):475-490. 被引量:1
  • 10SantosC, MatosV. Gaittransition and modulation in aquadrupedrobot:Abrainstemlikemodulationapproach[J].RoboticsandAutonomousSystems,2011,59(9):620-634. 被引量:1

共引文献54

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部