Study on Self-adapting Fuzzy Control with Sliding-mode Variable Structure for Course Keeping of Ship
Nan Chen
Abstract
Nan Chen
Abstract
Considering the characteristics of unknown control gain,parametric uncertainties and disturbances in nonlinear control of ship course,a new multiple sliding-mode adaptive fuzzy control algorithm was proposed by combining Nussbaum gain technology,the approximation property of fuzzy logical system and multiple sliding-mode control algorithm.Based on the Lyapunov function,it was proved in theory that the controller made all signals in the nonlinear system of ship motion uniformly bounded,with tracking errors converging to a neighborhood of zero.The simulation results showed that the controller design could track a desired course fast and accurately.It also exhibited strong robustness against system uncertainties.
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Considering the characteristics of unknown control gain,parametric uncertainties and disturbances in nonlinear control of ship course,a new multiple sliding-mode adaptive fuzzy control algorithm was proposed by combining Nussbaum gain technology,the approximation property of fuzzy logical system and multiple sliding-mode control algorithm.Based on the Lyapunov function,it was proved in theory that the controller made all signals in the nonlinear system of ship motion uniformly bounded,with tracking errors converging to a neighborhood of zero.The simulation results showed that the controller design could track a desired course fast and accurately.It also exhibited strong robustness against system uncertainties.
Key concepts: Control theory (sociology), Sliding mode control, Variable structure control, Robustness (evolution), Nonlinear system, Fuzzy control system, Fuzzy logic, Lyapunov function