Paper Info
Title
Fuzzy System-Based Position Tracking Iterative Learning Control for Tank Gun Control Systems With Error Constraints
Abstract
In order to get accurate position tracking and effective system constraint together for tank gun control systems, a fuzzy system-based barrier adaptive iterative learning control scheme is proposed. Firstly, the error tracking strategy is applied to solve the initial position problem of tank gun iterative learning control systems. Then, a barrier Lyapunov function is adopted to controller design for the system constraint. In addition, a fuzzy system is used as an approximator to compensate for the nonparametric uncertainties, and difference learning learning approach is used to estimate the optimal parameters of fuzzy systems. It is shown that the system constraints are guaranteed and position tracking error converges to a tunable residual set as the iteration number increases.
Year
DOI
Venue
2022
10.1109/ACCESS.2022.3175838
IEEE ACCESS
Keywords
DocType
Volume
Control systems, Adaptive systems, Uncertainty, Fuzzy systems, Torque, Iterative learning control, Trajectory, Tank gun control systems, iterative learning control, fuzzy systems, Barrier Lyapunov function
Journal
10
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Hong Zheng100.68
Qiuzhen Yan202.03
Xiushan Wu300.34
Jianping Cai401.01