Robust Adaptive Control of a Planar 3RRR Parallel Robot for Trajectory-Tracking Applied to Crouch Gait Cycle in Children with Cerebral Palsy

M. Rodelo, S. Polo, J. Duque, J. L. Villa, E. Yime
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Abstract

This paper presents the modelling, control and simulation of a 3$\underline{R}$RR planar parallel robot, using a robust adaptive control strategy. The objective of this work is to achieve the control over desired trajectory-tracking of the joint pattern with the end-effector of robot, considering the disturbances during the crouch gait activity in children with cerebral palsy. The kinematic analysis is based on the screw theory. A dynamical modelling by Virtual Work formulation approach is developed. The performance of the robust adaptive control law is developed using Lyapunov’s Direct Method and Barbalat’s lemma. Furthermore, the controller is evaluated in Matlab/Simulink simulation environment with the physic model simulated through Simscape Multibody. The angular position errors, velocity errors and output torques for each motor are calculated. Simulation results show that the proposed controller has good efficiency with stable response of the robot in performing trajectory-tracking.
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平面3RRR并联机器人轨迹跟踪鲁棒自适应控制应用于脑瘫儿童蹲伏步态周期
采用鲁棒自适应控制策略,对3$\underline{R}$RR平面并联机器人进行了建模、控制和仿真。本研究的目的是考虑到脑瘫儿童蹲下步态活动的干扰,实现机器人末端执行器对关节模式轨迹跟踪的控制。运动学分析基于螺旋理论。提出了一种基于虚功公式的动态建模方法。利用Lyapunov直接法和Barbalat引理研究了鲁棒自适应控制律的性能。在Matlab/Simulink仿真环境中对控制器进行了性能评估,并利用Simscape Multibody仿真了控制器的物理模型。计算了各电机的角位置误差、速度误差和输出转矩。仿真结果表明,所提出的控制器具有良好的控制效率和稳定的机器人轨迹跟踪响应。
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