A Robust Region Control Approach for Simultaneous Trajectory Tracking and Compliant Physical Human–Robot Interaction
提出一种基于不确定性和扰动估计器的鲁棒区域跟踪控制器，使机器人末端执行器收敛到目标区域，实现安全顺从的人机交互，仅需最小模型信息。
For the safe and smooth robot-assisted healthcare task execution, real-time motion tracking controls and compliant physical human–robot interactions are concurrently important control objectives. In this work, the uncertainty and disturbance estimator (UDE)-based robust region tracking controller for a robot manipulator is developed. The regional feedback error is derived from the potential function to drive the robot manipulator end-effector converging into the target region, where the safe and compliant physical human–robot interaction can be achieved. Utilizing the back-stepping control approach, the regional feedback error is seamlessly integrated into the UDE-based control framework, where the UDE is employed to estimate and compensate model uncertainties such that only the minimum model information is needed for implementation. The Lyapunov method is used to analyze the stability of the closed-loop control system. Extensive experimental studies including trajectory tracking, human–robot interaction and benchmark comparison are carried out for controller effectiveness validation.