Volume 11, Issue 2 (Journal of Control, V.11, N.2 Summer 2017)                   JoC 2017, 11(2): 43-54 | Back to browse issues page

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Faghih S, Shojaei K. Partial State Feedback Control for Trajectory Tracking of Underactuated Autonomous Underwater Vehicle by Using Neural Adaptive Dynamic Surface Control. JoC. 2017; 11 (2) :43-54
URL: http://joc.kntu.ac.ir/article-1-435-en.html
1- Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
Abstract:   (2347 Views)
In this paper, the trajectory tracking control of underactuated autonomous underwater vehicle without measuring velocity in three-dimensional space and in the presence of unknown disturbances caused by waves and ocean currents is studied based on dynamic surface control for the first time. In order to estimate parametric uncertainties with underwater vehicle dynamic model, radial basis function neural network approximation technique has been proposed. Also, the output feedback control problem is resolved by employing a high-gain observer to estimate the required unmeasurable states. The stability of the proposed controller is investigated by an analysis based on Lyapunov theory and uniform ultimate boundedness stability of states and convergence of tracking errors to a small bound around the origin are guaranteed. Finally, the tracking performance of the proposed control scheme has been verified via computer simulations.
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Type of Article: Research paper | Subject: Special
Received: 2016/12/31 | Revised: 2017/11/18 | Accepted: 2017/05/24 | Published: 2017/07/9

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