Extended integral sliding mode robust sub-gradient extremum seeking control for tracking trajectory of autonomous underwater vehicle

Author(s):  
Alejandra Hernandez-Sanchez ◽  
Isaac Chairez ◽  
Alexander Poznyak
Author(s):  
Bo Su ◽  
Hongbin Wang ◽  
Ning Li

In this paper, an event-triggered integral sliding mode fixed-time control method for trajectory tracking problem of autonomous underwater vehicle (AUV) with disturbance is investigated. Initially, the global fixed time stability is ensured with conventional periodic sampling method for reference trajectory tracking. By introducing fixed time integral sliding mode manifold, fixed time control strategy is expressed for the AUV, which can effectively eliminate the singularity. Correspondingly, in order to reduce the damage caused by chattering phenomenon, an adaptive fixed-time method is proposed based on the designed continuous integral terminal sliding mode (ITSM) to ensure that the trajectory tracking for AUV is achieved in fixed-time with external disturbance. In order to reduce resource consumption in the process of transmission network, the event-triggered sliding mode control strategy is designed which condition is triggered by an event. Also, Zeno behavior is avoided by proof of theoretical. It is shown that the upper bounds of settling time are only dependent on the parameters of controller. Theoretical analysis and simulation experiment results show that the presented methods can realize the control object.


2018 ◽  
Vol 51 (13) ◽  
pp. 161-166 ◽  
Author(s):  
J. Guerrero ◽  
E. Antonio ◽  
A. Manzanilla ◽  
J. Torres ◽  
R. Lozano

2015 ◽  
Vol 72 (2) ◽  
Author(s):  
Mohd Bazli Mohd Mokhar ◽  
Zool Hilmi Ismail

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.            


2020 ◽  
Vol 216 ◽  
pp. 107855
Author(s):  
Tu Lv ◽  
Junliang Zhou ◽  
Yujia Wang ◽  
Wei Gong ◽  
Mingjun Zhang

Sign in / Sign up

Export Citation Format

Share Document