Adaptive fuzzy control for a class of constrained nonlinear systems with application to a surface vessel

• Autorzy: Jamalzade M S. , Koofigar H. R. , Ataei M.

Identyfikatory

DOI

10.15632/jtam-pl.54.3.987

• Języki publikacji: EN

Abstrakty

EN

In this paper, adaptive control for a class of uncertain nonlinear systems with input constraints is addressed. The main goal is to achieve a self-regulator PID controller whose coefficients are adjusted by using some adaptive fuzzy rules. The constraints on the control signal are taken into account as a saturation operator. The stability of the closed-loop system is analytically proved by using the Lyapunov stability theorem. The proposed method is then applied to a surface vessel with uncertain dynamic equations. The simulation results show the effectiveness of the proposed control strategy.

Słowa kluczowe

EN

self-regulator; fuzzy PID controller; constraint nonlinear systems; uncertainty; fuzzy estimation

• Wydawca: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
• Czasopismo: Journal of Theoretical and Applied Mechanics
• Rocznik: 2016
• Tom: Vol. 54 nr 3
• Strony: 987--1000
• Opis fizyczny: Bibliogr. 24 poz., rys., tab.

Twórcy

autor

Jamalzade M S.

• Department of Electrical Engineering, University of Isfahan, Isfahan, Iran

autor

Koofigar H. R.

• Department of Electrical Engineering, University of Isfahan, Isfahan, Iran

autor

Ataei M.

• Department of Electrical Engineering, University of Isfahan, Isfahan, Iran

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniajacą naukę.