We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Observer-Based Adaptive Fuzzy Control for Intelligent Ship Autopilot with Input Saturation.
- Authors
Zhu, Liyan; Li, Tieshan; Yu, Renhai; Wu, Yue; Ning, Jun
- Abstract
In this paper, the design problem of intelligent ship autopilot with unmeasured yaw rate and input saturation is investigated based on adaptive fuzzy control. First, an adaptive fuzzy output feedback controller is proposed, then, to improve the convergence speed of the tracking error in the sense of finite time, a finite-time adaptive fuzzy output feedback controller is also designed to improve the control performance. By employing fuzzy logic system (FLS) to estimate the unknown nonlinear function, an adaptive fuzzy state observer is designed to estimate the unmeasured state. An adaptation auxiliary signal for input saturation is also established to compensate the mismatch between the controller signal and the actuator signal. Combining state observer model with backstepping method, two different adaptive fuzzy output-feedback controllers with composite parameter adaptive laws are constructed, respectively. Based on Lyapunov theory, it is proved that all signals in the closed-loop systems are bounded. Finally, the simulation results are conducted to demonstrate the effectiveness of the proposed schemes.
- Subjects
FUZZY control systems; MARITIME pilots; FEEDBACK control systems; STOCHASTIC convergence; FUZZY logic
- Publication
International Journal of Fuzzy Systems, 2020, Vol 22, Issue 5, p1416
- ISSN
1562-2479
- Publication type
Article
- DOI
10.1007/s40815-020-00880-3