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author:

Huang, Yanwei (Huang, Yanwei.) [1] | Lin, Feng (Lin, Feng.) [2]

Indexed by:

EI

Abstract:

For the nonlinear parameter-varying (NPV) model of unmanned surface vehicle with the consideration of the velocities on yaw and surge as well as wave disturbances, a robust (Formula presented.) control method is proposed based on extended homogeneous polynomial Lyapunov function (EHPLF) to regulate heading for the superior performance on the rapidity, accuracy, and robustness. First, a NPV model of heading error is established to design a general form of a state feedback controller with a robust (Formula presented.) performance. Second, a Lyapunov matrix with full states and varying parameter is constructed to derive the robust (Formula presented.) global exponential stability conditions by Euler's homogeneity relation for the NPV system, known as the EHPLF stability conditions. Third, since the EHPLF stability conditions consist of a set of nonlinear coupled inequalities that cannot be directly solved by sum of squares (SOS) toolboxes, they are decoupled with matrix transformations to obtain the EHPLF-SOS stability conditions, which is solved for the parameters of the state feedback controller. Finally, the simulation results indicate that EHPLF method exhibits a superior performance on dynamic, steady-state, and robustness. © 2023 John Wiley & Sons, Ltd.

Keyword:

Controllers Feedback control Linear transformations Lyapunov functions Matrix algebra Polynomials Robustness (control systems) State feedback

Community:

  • [ 1 ] [Huang, Yanwei]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Lin, Feng]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China

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Source :

International Journal of Robust and Nonlinear Control

ISSN: 1049-8923

Year: 2024

Issue: 4

Volume: 34

Page: 2427-2440

3 . 2 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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