4.7 Article

Robust adaptive integral backstepping control for opto-electronic tracking system based on modified LuGre friction model

Journal

ISA TRANSACTIONS
Volume 80, Issue -, Pages 312-321

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2018.07.016

Keywords

Robust adaptive control; Integral backstepping control; LuGre model; Nonlinear control; Opto-electronic tracking

Funding

  1. Foundation of the National Natural Science Foundation of China [61427810, 61503283, 61733012]
  2. Natural Science Foundation of Tianjin [16JCZDJC30100]

Ask authors/readers for more resources

This paper presents a robust adaptive integral backstepping control strategy with friction compensation for realizing accurate and stable control of opto-electronic tracking system in the presence of nonlinear friction and external disturbance. With the help of integral control term to decrease the steady-state error of the system and combining robust adaptive control approach with the backstepping design method, a novel control method is constructed. Nonlinear modified LuGre observer is designed to estimate friction behavior. Robust adaptive integral backstepping control strategy is developed to compensate the changes in friction behavior and external disturbance of the servo system. The stability of the opto-electronic tracking system is proved by Lyapunov criterion. The performance of robust adaptive integral backstepping controller is verified by the opto-electronic tracking system with modified LuGre model in simulation and practical experiments. Compared to the adaptive integral backstepping sliding mode control method, the root mean square of angle error is reduced by 26.6% when the proposed control method is used. The experiment results demonstrate the effectiveness and robustness of the proposed strategy.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available