학술논문

Adaptive Model-free Control with Supervising Switching Technique for Robotic Manipulator with Actuator Failure
Document Type
Conference
Source
2022 4th International Conference on Robotics and Computer Vision (ICRCV) Robotics and Computer Vision (ICRCV), 2022 4th International Conference on. :329-333 Sep, 2022
Subject
Computing and Processing
Robotics and Control Systems
Actuators
Adaptation models
Simulation
Switches
Control systems
Manipulators
Mathematical models
Model-free control
time delay estimation
supervising switching technique
Nussbaum function
actuator failure
Language
Abstract
This paper proposes a time-delay estimator-based adaptive model-free controller with supervising switching technique for robotic manipulator with actuator failure. The proposed method based on ultra local model is composed of timedelay estimator (TDE), proportion-differential control (PDC), supervising switching technique (SST) and auto-tuning algorithm based on Nussbaum function. The TDE is adopted to estimate the lumped disturbance, while PDC is designed to stabilize the closed-loop system. For better control performance when actuator failure occurs, the SST and variable adaptive gain are introduced to suppress error induced by TDE and realize fast convergence. To validate the effectiveness and superiority of the referred strategy, compared simulations are conducted via Matlab/ Simulation. The simulation results demonstrate that the proposed controller owns high accuracy, fast convergence and less chattering in dealing with actuator failure problem.