陈阳, 王洪玺, 张兰勇. 轮腿式平衡机器人控制[J]. 信息与控制, 2023, 52(5): 648-659. DOI: 10.13976/j.cnki.xk.2023.2533
引用本文: 陈阳, 王洪玺, 张兰勇. 轮腿式平衡机器人控制[J]. 信息与控制, 2023, 52(5): 648-659. DOI: 10.13976/j.cnki.xk.2023.2533
CHEN Yang, WANG Hongxi, ZHANG Lanyong. Control of Wheel-legged Balancing Robot[J]. INFORMATION AND CONTROL, 2023, 52(5): 648-659. DOI: 10.13976/j.cnki.xk.2023.2533
Citation: CHEN Yang, WANG Hongxi, ZHANG Lanyong. Control of Wheel-legged Balancing Robot[J]. INFORMATION AND CONTROL, 2023, 52(5): 648-659. DOI: 10.13976/j.cnki.xk.2023.2533

轮腿式平衡机器人控制

Control of Wheel-legged Balancing Robot

  • 摘要: 针对轮腿平衡机器人的整体控制问题展开研究,建立了机器人动力学模型,采用LQR (linear quadratic regulator)算法对解耦后的平衡与纵向运动子系统进行分析,并设计控制器。利用VMC (virtual model control)的思路,将倒立摆机器人中的力矩转换成轮腿结构中关节力矩。通过搭建仿真平台(Simulink Mulitibody)对控制器的性能进行仿真实验。设计相应控制器对机器人高度与横滚姿态等状态进行控制,并在实际机器人中进行验证整套控制器的性能,具有一定的理论价值和实际应用价值。

     

    Abstract: This work studies the overall control problem of a multiterrain adaptive wheel-legged inverted pendulum robot. The dynamic model of the robot is also established. The linear quadratic regulator (LQR) algorithm analyzes the decoupled balance and longitudinal motion subsystems, and the controller is designed. Based on virtual model control, the torque in the inverted pendulum robot is converted into the joint torque in the wheel-leg structure. The controller's performance is simulated by building a simulation platform (Simulink Mulitibody). The corresponding controller is designed to control the robot's height and roll attitude. The performance of the whole controller is verified in the robot, which has certain theoretical and practical values.

     

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