A Novel Prescribed Performance Controller With Unknown Dead-Zone and Impactive Disturbance

Autor: Mingming Wang, Yuan Chai, Jianjun Luo
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: IEEE Access, Vol 8, Pp 17160-17169 (2020)
Druh dokumentu: article
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2020.2967796
Popis: This paper investigates a robust prescribed performance control scheme for motion control system with unknown dead-zone input and impactive disturbance. The unknown dead-zone input is divided into a linear part and a disturb part firstly. A smooth dead-zone inverse is constructed to compensate the influence. Subsequently, a novel error transform function is proposed for the limitation that the former prescribed performance control scheme cannot tolerate the impact disturbance. A robust control scheme with prescribed convergence rate is derived with the help of back-stepping technique and the dead-zone parameters is estimated by a designed adaptive law. Lyapunov function is employed to improve the stability of the system. Moreover, a fast finite-time-converge sliding mode differentiator is introduced to estimate the unavailable states of the motion control system. Finally, a two-link robot arm with unknown dead-zone input and high impact is employed to demonstrate the robustness and effectiveness of the control scheme.
Databáze: Directory of Open Access Journals