Fuzzy Sliding Mode with Region Tracking Control for Autonomous Underwater Vehicle

2015 ◽  
Vol 72 (2) ◽  
Author(s):  
Mohd Bazli Mohd Mokhar ◽  
Zool Hilmi Ismail
Keyword(s):  
Fuzzy Logic ◽  
Tracking Control ◽  
Autonomous Underwater Vehicle ◽  
Sliding Mode ◽  
Underwater Vehicle ◽  
Fuzzy Sliding Mode Control ◽  
Signum Function ◽  
Fuzzy Sliding Mode ◽  
Region Tracking ◽  
Chattering Effect

This paper presents fuzzy sliding mode control with region tracking control for a single autonomous underwater vehicle. The vehicle is needed to track a certain moving region whilst under the influence of wave current. The fuzzy logic is used to tune the gain and to reduce the effect of chattering effect, the signum function is replaced by saturation function. Simulation result is presented to demonstrate the performance of the proposed tracking control of the AUV.            

COMPARISON OF TWO TYPE OF FUZZY SLIDING MODE WITH REGION TRACKING CONTROL FOR AUTONOMOUS UNDERWATER VEHICLE

2015 ◽  
Vol 74 (9) ◽  
Author(s):  
Mohd Bazli Mohd Mokhar ◽  
Zool Hilmi Ismail
Keyword(s):  
Fuzzy Logic ◽  
Tracking Control ◽  
Autonomous Underwater Vehicle ◽  
Sliding Mode ◽  
Underwater Vehicle ◽  
Fuzzy Sliding Mode Control ◽  
Signum Function ◽  
Fuzzy Sliding Mode ◽  
Region Tracking ◽  
Chattering Effect

This paper presented two type of fuzzy sliding mode control with region tracking control for a single autonomous underwater vehicle. The vehicle is needed to track a certain moving region whilst under the influence of wave current. The first fuzzy logic proposed is used to tune the gain and to reduce the chattering effect; the signum function is replaced by saturation function. In second fuzzy type sliding mode controller, the switching term or reaching law is modeled using fuzzy logic. Simulation result is presented to demonstrate the performance of the two proposed tracking control of the AUV and the performance is compared.          

Fuzzy Sliding-Mode Control of a Variable Geometry Manipulator: Experimental Investigation

2000 ◽  
Author(s):  
J. Choi ◽  
C. W. de Silva ◽  
V. J. Modi ◽  
A. K. Misra
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Tracking Error ◽  
Experimental Studies ◽  
Sliding Mode Controller ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Knowledge Based ◽  
Fuzzy Sliding Mode

Abstract This paper focuses a robust and knowledge-based control approach for multi-link robot manipulator systems. Based on the concepts of sliding-mode control and fuzzy logic control (FLC), a fuzzy sliding-mode controller has been developed in previous work. This controller possesses good robustness properties of sliding-mode control and the flexibility and ‘intelligent’ capabilities of knowledge-based control through the use of fuzzy logic. This paper presents experimental studies with fuzzy sliding-mode control as well as conventional sliding-mode control. The results show that the tracking error is guaranteed to converge to a specification in the presence of uncertainties. The performance of the fuzzy sliding-mode controller is found to be somewhat better than that of the conventional sliding-mode controller.

Sign in / Sign up

Export Citation Format

Share Document