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Distributed containment control for multiple ocean bottom flying nodes with velocity error constraint and input saturation
Institution:1. Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;2. Department of College of Science, University of Shanghai for Science and Technology, Shanghai 200093, China;1. College of Science, Binzhou University, Binzhou, 256600, Shandong, China;2. Institute of Complexity Science, School of Automation, Qingdao University, Qingdao 266071, China;1. School of Astronautics, Northwestern Polytechnical University, Xi''an, 710072, China;2. National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi''an, 710072, China;1. School of Aerospace Engineering, Beijing Institute of Technology, Beijing, China;2. Beijing Institute of Astronautical Systems Engineering, Beijing, China
Abstract:This paper uses the directed communication topology to investigate the finite-time error constraint containment control for multiple Ocean Bottom Flying Node (OBFN) systems with thruster faults. The OBFN is a benthic Autonomous Underwater Vehicle (AUV), which has been used to explore submarine resources. The model uncertainties, velocity error constraint, external disturbances, and thruster faults of OBFNs motivate the design of containment controller. Moreover, some followers could obtain the states of leader OBFNs. We designed the command filter and the input signal is a hyperbolic tangent function. The virtual velocity error command is generated to follow the velocity error. Then the novel velocity error constraint distributed control algorithm is developed. Furthermore, for the problem of input saturation, by designing a stable anti-saturation compensator, an improved containment algorithm is proposed. It is proved that both the proposed approaches can converge the containment errors towards zero through Lyapunov theory in finite time, which means the followers can reach the convex hull formed by leaders in finite time. Finally, simulation results demonstrate the effectiveness of the two strategies.
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