Browsing by Author "Chien, Ting-Li"

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A new simple unifying approach of finding the state equation model and its practical application
(2009-11-30)
Chen, Chung-Cheng
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Chien, Ting-Li
;
Chen, Ying-Chen
;
Lin, Wen-Jiun
;
Yang, Shu-Hao
In the control signal process theory, the state equation is an important approach for modelling, analyzing and designing a wide range of systems. Furthermore, the state equation is often the most efficient form from the standpoint of computer simulation for highly complex systems. The existing researches exploit the fact that for networks containing dependent sources, bridging elements and coupling elements, the derivation of the closed-form state equation becomes rather complicated. On the other hand, a simple and valuable unifying approach of finding the state equations for complicated physical systems is successfully presented in the paper. The new unifying approach needs only the substitution theorem and the author's invented simple matrix operations. The main fascinating peculiarity of this approach is exposed in its systematic, graphic and human structure that improves the shortcomings of those traditional approaches. One comparative example is proposed to show the distinguished advantages our method offers over existing methods. In order to demonstrate the practical applicability, the paper has investigated an electronic operational-amplifier circuit that can be easily stabilized by our approach. (c) 2009 Elsevier Ltd. All rights reserved.
Control of AMIRA's ball and beam system via improved fuzzy feedback linearization approach
(2010-12-01)
Chien, Ting-Li
;
Chen, Chung-Cheng
;
Tsai, Ming-Chun
;
Chen, Ying-Chen
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材料科學與工程學系
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 1,2 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. (C) 2010 Elsevier Inc. All rights reserved.