Linear fuzzy controller design for dynamic positioning system of surface ships Online publication date: Mon, 05-Oct-2015
by Werneld Ngongi; Jialu Du
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 14, No. 1, 2015
Abstract: This paper presents a linear fuzzy controller design for dynamic positioning (DP) system of surface ships using optimal H∞ control techniques. The control technique is used to exterminate the effects of environmental disturbances. First, a Takagi-Sugeno (TS) fuzzy model is used to approximate the nonlinear DP system. Then, linear matrix inequality (LMI) and eigenvalue problem (EVP) methods are employed to solve the robust fuzzy control problem. We use the Lyapunov stability theory to prove the stability of the controller. A positive definite matrix is determined by solving LMI equations using robust control toolbox available in MATLAB. The obtained positive definite matrix proves that the fuzzy controller is stable. Finally, a uniformly ultimately bound (UUB) and control performance is guaranteed. Simulation is carried out, and results are presented to validate the effectiveness and performance of the proposed control system.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Systems Technologies and Applications (IJISTA):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com