Feedforward and Feedback Optimal Control of Autonomous Profiling Monitoring Underwater Vehicle with Disturbance

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Abstract:

The optimal control of autonomous profiling monitoring underwater vehicle (APMUV) is investigated. Firstly, dynamics equations in vertical plane with disturbances are constructed, and the equations are converted into a linear system by feedback linearization method and then feedforward and feedback optimal control (FFOC) law is designed for the linear system. To solve the unpractical problem of the control law, we construct a disturbance observer to observe the system states to make a quick convergance of the observed system states. Numerical simulations show the effectiveness of the control scheme

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970-973

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August 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] M.S. Naik, S.N. Singh. State-dependent Riccati Equation-based Robust Dive Plane Control of AUV with Control Constraints. Ocean Engineering. 2007, 34(11-12): 1711-1723.

DOI: 10.1016/j.oceaneng.2006.10.014

Google Scholar

[2] T. Prestero. Verification of a Six-degree of Freedom Simulation Model for the REMUS Autonomous Underwater Vehicles. MIT, Masters Thesis. (2001).

DOI: 10.1575/1912/3040

Google Scholar

[3] Do K D. Formation tracking control of unicycle-type mobile robots with limited sensing ranges. IEEE Transactions on Control Systems Technology, 2008, 16(3): 527-538.

DOI: 10.1109/tcst.2007.908214

Google Scholar

[4] Dong W J, Farrell J A. Decentralized cooperative control of multiple nonholonomic dynamic systems with uncertainty. Automatica, 2009, 45: 706-710.

DOI: 10.1016/j.automatica.2008.09.015

Google Scholar