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Nonlinear internal model control using quadratic prediction models

DSpace at IIT Bombay

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Title Nonlinear internal model control using quadratic prediction models
 
Creator PATWARDHAN, SC
MADHAVAN, KP
 
Subject output-feedback control
control strategies
systems
 
Description This study is aimed at development of a nonlinear IMC controller that can handle a larger class of nonlinear systems than hitherto, including the singular systems that exhibit change in the sign of the steady state gain. The construction of the model inverse is achieved through inversion of successive quadratic approximation of the nonlinear model operator. The controller synthesis problem is formulated as minimization of 2-norm of single step prediction error. Using the theory of solutions of the multidimensional quadratic equations, a closed form dead-beat type quadratic control law is evolved. The performance of the proposed control law is demonstrated by simulating control of two highly nonlinear systems and also a singular system. In the case of singular system, it has been shown that the proposed quadratic control law can be effectively used for handling a difficult robust control problem arising out of non-attainability of set point due to plant-model mismatch. (C) 1998 . .
 
Publisher PERGAMON-ELSEVIER SCIENCE LTD
 
Date 2011-08-25T17:01:58Z
2011-12-26T12:57:08Z
2011-12-27T05:46:58Z
2011-08-25T17:01:58Z
2011-12-26T12:57:08Z
2011-12-27T05:46:58Z
1998
 
Type Article
 
Identifier COMPUTERS & CHEMICAL ENGINEERING, 22(4-5), 587-601
0098-1354
http://dx.doi.org/10.1016/S0098-1354(97)00230-5
http://dspace.library.iitb.ac.in/xmlui/handle/10054/11083
http://hdl.handle.net/10054/11083
 
Language en