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Robust state‐error port‐controlled Hamiltonian trajectory tracking control for unmanned surface vehicle with disturbance uncertainties

Chengxing Lv, Haisheng Yu, Na Zhao, Jieru Chi, Hailin Liu, Lei Li

2020Asian Journal of Control26 citationsDOI

Abstract

Abstract This paper proposed a novel disturbance observer‐based control state‐error port‐controlled Hamiltonian (DOBC‐SEPCH) control strategy for optimization of energy consumption and enhancement of tracking performance for unmanned surface vehicle (USV) with unknown environmental disturbances via the PCH system techniques. Firstly, an observer is constructed to estimate disturbances. Then, an energy‐based controller is constructed by using the SEPCH system method. In addition, the SEPCH controller provided that the tracking errors converged exponentially to zero. The SEPCH technique is augmented by a disturbance observer. Due to the controller need to be designed in two stages, the stability of the whole system will be difficult to be discussed. We give the proof of the stability of the desired target dynamic system. The robustness and control performance of the system are enhanced. The simulation and comparison results illustrate the performance of this controller.

Topics & Concepts

Control theory (sociology)Robustness (evolution)Tracking errorControl engineeringState observerComputer scienceTrajectoryEngineeringControl (management)Nonlinear systemArtificial intelligenceGeneQuantum mechanicsBiochemistryPhysicsChemistryAstronomyControl and Stability of Dynamical SystemsAdaptive Control of Nonlinear SystemsATP Synthase and ATPases Research
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