arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2011.06717cs.RO
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基于MPC的四轮腿独立电机驱动机器人协调运动控制及基于事件的越障

Coordinated Motion Control and Event-based Obstacle-crossing for Four Wheel-leg Independent Motor-driven Robotic System via MPC

Beijing Institute of Technology(北京理工大学)

Dongchen Liu, Junzheng Wang, Shoukun Wang

摘要:

针对四轮腿独立电机驱动机器人系统的协调运动控制和越障问题,提出了一种基于事件触发机制的模型预测控制(MPC)方法.建立了具有动态支撑多边形的轮腿机器人控制系统的数学模型。系统动力学模型为3个自由度,忽略俯仰、横滚和垂直运动。考虑电动机驱动特性和Burckhardt非线性轮胎模型,对单轮动力学进行了分析。在此基础上,建立了以电机转矩为输入、系统状态为输出的过驱动预测模型。由于支持多边形只在特定条件下调整,因此设计了基于事件的触发机制,以节省硬件资源和能量。MPC控制器上的虚拟样机以及物理样机进行评估。仿真结果为控制器在物理样机中的实现提供了参数整定指导。在这两个原型上的实验结果验证了所提出的方法的有效性。

英文摘要:

This work presents the coordinated motion control and obstacle-crossing problem for the four wheel-leg independent motor-driven robotic systems via a model predictive control (MPC) approach based on an event-triggering mechanism. The modeling of a wheel-leg robotic control system with a dynamic supporting polygon is organized. The system dynamic model is 3 degrees of freedom (DOF) ignoring the pitch, roll and vertical motions. The single wheel dynamic is analyzed considering the characteristics of motor-driven and the Burckhardt nonlinear tire model. As a result, an over-actuated predictive model is proposed with the motor torques as inputs and the system states as outputs. As the supporting polygon is only adjusted at certain conditions, an event-based triggering mechanism is designed to save hardware resources and energy. The MPC controller is evaluated on a virtual prototype as well as a physical prototype. The simulation results guide the parameter tuning for the controller implementation in the physical prototype. The experimental results on these two prototypes verify the efficiency of the proposed approach.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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