Title :
Adaptive integral back-stepping controller design for ROV with disturbance observer
Author :
Yanhui Wei ; Weixiang Zhou ; Wei Chen ; Han Han
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
The problem focusing on heading motion control of remotely operated underwater vehicle (ROV) is studied and adaptive integral back-stepping controller with nonlinear disturbance observer (NDO) is proposed in this paper. Taking advantage of the ability that nonlinear disturbance observer can estimate uncertainties and external disturbance exactly, combined back-stepping method, we can greatly reduce the influence of parameter uncertainties and external disturbances on the ROV system; meanwhile, in order to enhance the robust performance of the system, integral terms are added into the feedback loop; finally, adaptive item is added in order to estimate residual uncertainties and interference. Design process of the controller for ROV is described in detail; using Lyapunov stability criterion, global asymptotic stability and tracking error convergence are proved. Simulation experiments have shown that the controller can overcome and estimate factors such as external disturbance and model uncertainties, the system is able to track the desired trajectory accurately and has good robust performance.
Keywords :
Lyapunov methods; adaptive control; asymptotic stability; autonomous underwater vehicles; control nonlinearities; control system synthesis; feedback; nonlinear control systems; observers; stability criteria; uncertain systems; Lyapunov stability criterion; NDO; ROV system; adaptive integral backstepping controller design; adaptive item; combined back-stepping method; external disturbance estimation; feedback loop; global asymptotic stability; heading motion control; integral terms; nonlinear disturbance observer; parameter uncertainties; remotely operated underwater vehicle; residual interference estimation; residual uncertainty estimation; robust performance enhancement; tracking error convergence; uncertainty estimation; Adaptation models; Adaptive systems; Observers; Robustness; Tracking; Trajectory; Uncertainty; ROV; adaptive control; heading motion; integral back-stepping control; nonlinear disturbance observer;
Conference_Titel :
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7097-1
DOI :
10.1109/ICMA.2015.7237640