Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/140145
Title: Adaptive trajectory tracking control of a fully actuated surface vessel with asymmetrically constrained input and output
Authors: Zheng, Zewei
Huang, Yanting
Xie, Lihua
Zhu, Bing
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2017
Source: Zheng, Z., Huang, Y., Xie, L., & Zhu, B. (2018). Adaptive trajectory tracking control of a fully actuated surface vessel with asymmetrically constrained input and output. IEEE Transactions on Control Systems Technology, 26(5), 1851-1859. doi:10.1109/TCST.2017.2728518
Journal: IEEE Transactions on Control Systems Technology
Abstract: This brief addresses the trajectory tracking control problem of a fully actuated surface vessel subjected to asymmetrically constrained input and output. The controller design process is based on the backstepping technique. An asymmetric time-varying barrier Lyapunov function is proposed to address the output constraint. To overcome the difficulty of nondifferentiable input saturation, a smooth hyperbolic tangent function is employed to approximate the asymmetric saturation function. A Nussbaum function is introduced to compensate for the saturation approximation and ensure the system stability. The command filters and auxiliary systems are integrated with the control law to avoid the complicated calculation of the derivative of the virtual control in backstepping. In addition, the bounds of uncertainties and disturbances are estimated and compensated with an adaptive algorithm. With the proposed control, the constraints will never be violated during operation, and all system states are bounded. Simulation results and comparisons with standard method illustrate the effectiveness and advantages of the proposed controller.
URI: https://hdl.handle.net/10356/140145
ISSN: 1063-6536
DOI: 10.1109/TCST.2017.2728518
Rights: © 2017 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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