Indexed by:
Abstract:
A time delay estimation based terminal sliding mode adaptive fuzzy control for trajectory tracking control of free-floating robot manipulators is presented. This controller consisted of a time delay estimation element, a terminal sliding mode and an adaptive fuzzy system. Based on time delay estimation technology, which can estimate most unknowns of the system for reducing the negative impact of uncertainty on stability caused by system inertia parameter, a terminal sliding mode adaptive fuzzy controller is designed. A nonlinear error dynamic model is established by terminal sliding mode, which can also make actual trajectory track the desired trajectory well in a short time. The adaptive fuzzy system would compensate for the error caused by the delay estimation technique and suppresses the chattering problem caused by the terminal sliding mode. It is proved that the tracking errors converge into zero asymptotically by using Lyapunov stability theory. Last numerical simulation shows that the controller has good tracking performance. © 2020, Springer Nature Singapore Pte Ltd.
Keyword:
Reprint 's Address:
Email:
Source :
Mechanisms and Machine Science
Monograph name: Mechanisms and Machine Science
ISSN: 2211-0984
Volume: 79
Issue: Springer Netherlands
Language: English
Cited Count:
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 0
Affiliated Colleges: