Simulation and design of fuzzy sliding-mode controller for ship heading-tracking
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In considering the characteristic of a rudder, the maneuvers of a ship were described by an unmatched uncertain nonlinear mathematic model with unknown virtual control coefficient and parameter uncertainties. In order to solve the uncertainties in the ship heading control, specifically the controller singular and paramount re-estimation problem, a new multiple sliding-mode adaptive fuzzy control algorithm was proposed by combining Nussbaum gain technology, the approximation property of fuzzy logic systems, and a multiple sliding-mode control algorithm. Based on the Lyapunov function, it was proven in theory that the controller made all signals in the nonlinear system of unmatched uncertain ship motion uniformly bounded, with tracking errors converging to zero. Simulation results show that the demonstrated controller design can track a desired course fast and accurately. It also exhibits strong robustness peculiarity in relation to system uncertainties and disturbances.
- Du Jialu, Guo Chen, Yang Cheng’en (2006). Adaptive nonlinear design of autopilot for ship course tracking. Journal of Applied Sciences, 24(1), 83–88.
- Ge SS, Hong F, Lee TH (2004). Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients. IEEE Tran on Systems, Man and Cybernetics-Part B: Cybernetics, 34(1), 499–516. CrossRef
- Hedrick JK, Yip PP (2000). Multiple sliding control: theory and application. Journal of Dynamic Systems, Measurement and Control, 12(2), 586–593. CrossRef
- Ho HF, Wong YK, Rad AB (2009). Adaptive fuzzy sliding mode control with chattering elimination for nonlinear SISO systems. Simulation Modeling Practice and Theory, 17, 1199–1210. CrossRef
- Huang J Q (1992). Adaptive control theories and its applications in ship system. National Defense Industry Press, Beijing, 5–9.
- Jia XL, Yang YS (1998). Ship motion mathematic model. Dalian Maritime University Press, Dalian, 22–25.
- Lin F J, Shen P H, Hsu SP (2000). Adaptive back-stepping sliding mode control for linear induction motor. IEEE Proceedings Electric Power Application, 14(9), 184–194.
- Liu Y, Guo C, Lv J (2007). Sliding-mode control of ship course tracking based on backstepping. J. Cent. South Univ. (Science and Technology), 38(suppl), 278–282.
- Narendra KS, Annaswamy AM (1989). Stable adaptive systems. Prentice Hall, NewJork, 12–15.
- Nussbaum RD (1983). Some remarks on the conjecture in parameter adaptive control. Systems and Control Letters, 3(3), 243–246. CrossRef
- Song LZ, Song JM, Huang P (2007). Discrete variable structure control of nonlinear ship autopilot system. Journal of Naval University of Engineering, 19(4), 54–58.
- Yuan L, Wu HS (2010). Terminal sliding mode control fuzzy control based on multiple sliding surface for nonlinear ship autopilot system. Journal of Marine and Application, 9(4), 425–430. CrossRef
- Yuan L, Wu HS (2010). Multiple-sliding-mode robust adaptive design for ship course tracking control. Control Theory & Applications, 27(12), 1669–1673.
- Simulation and design of fuzzy sliding-mode controller for ship heading-tracking
Journal of Marine Science and Application
Volume 10, Issue 1 , pp 76-81
- Cover Date
- Print ISSN
- Online ISSN
- Harbin Engineering University
- Additional Links
- ship autopilot
- nonlinear system
- unmatched uncertainty
- multiple sliding mode control
- fuzzy control
- Industry Sectors