首页 /研究 /A Single Parameter-Based Adaptive Approach to Robotic Manipulators With Finite Time Convergence and Actuator Fault
MANIPULATION

A Single Parameter-Based Adaptive Approach to Robotic Manipulators With Finite Time Convergence and Actuator Fault

Shuang Zhang, Pengxin Yang, Linghuan Kong, Guang Li, Wei He

发表年份
2020
引用次数
8
访问权限
开放获取

摘要

In this paper, a novel single-parameter adaptive finite time fault tolerant control (FTC) scheme is developed for an n-link robotic system with actuator fault, disturbances, system parameter uncertainties and saturation constraints. First, a finite time passive FTC (PFTC) is designed. Then, an improved control strategy called active FTC (AFTC) based on single-parameter adaptive method is studied. In this control scheme, a nonsingular fast terminal sliding mode (NFTSM) control is employed for the purpose of enhancing the robustness of the robotic system. The single-parameter adaptive method is employed to avoid obtaining the values of actuator fault, disturbances and system parameter uncertainties which reduces the complexity of the control design and the time required for online calculations. Finally, the effectiveness of the proposed single-parameter adaptive finite time AFTC scheme is verified by the simulation results.

关键词

Control theory (sociology)ActuatorRobustness (evolution)Computer scienceAdaptive controlConvergence (economics)Invertible matrixFault toleranceRobot manipulatorScheme (mathematics)

相关论文

查看 MANIPULATION 分类全部论文