Control of AMIRA’s ball and beam system via improved fuzzy feedback linearization approach

Autor: Ming-Chun Tsai, Ying-Chen Chen, Ting-Li Chien, Chung-Cheng Chen
Rok vydání: 2010
Předmět:
Zdroj: Applied Mathematical Modelling. 34(12):3791-3804
ISSN: 0307-904X
DOI: 10.1016/j.apm.2010.03.020
Popis: This paper first studies the tracking and almost disturbance decoupling problem of nonlinear AMIRA’s ball and beam system based on the feedback linearization approach and fuzzy logic control. The main contribution of this study is to construct a controller, under appropriate conditions, such that the resulting closed-loop system is valid for any initial condition and bounded tracking signal with the following characteristics: input-to-state stability with respect to disturbance inputs and almost disturbance decoupling, i.e., the influence of disturbances on the L2 norm of the output tracking error can be arbitrarily attenuated by changing some adjustable parameters. One example, which cannot be solved by the first paper on the almost disturbance decoupling problem, is proposed in this paper to exploit the fact that the tracking and the almost disturbance decoupling performances are easily achieved by our proposed approach. The simulation results show that our proposed approach has achieved the almost disturbance decoupling performance perfectly.
Databáze: OpenAIRE