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Improved control using PFC and modified linear quadratic regulator for a kind of nonlinear systems.

Authors :
Zhang, Ridong
Lu, Renquan
Wang, Shuqing
Source :
International Journal of Systems Science. Apr2016, Vol. 47 Issue 5, p1121-1129. 9p.
Publication Year :
2016

Abstract

This paper describes the combination design of predictive functional control (PFC) and optimal linear quadratic (LQ) method for a kind of nonlinear process with output feedback coupling. In many existing control methods for this kind of nonlinear systems, the nonlinear part is either ignored or represented as a rough linear one when corresponding predictive control methods are designed. However, by assuming that the nonlinearity can be ignored or simplified to a linear time-varying part may not lead to the good control performance of subsequent linear control designs. The paper is a further investigation on this kind of systems, in which a procedure of PFC plus a modified optimal LQ control is developed. With respect to the proposed control strategy and the corresponding processes, the closed-loop performance is improved concerning tracking ability and disturbance rejection compared with previous predictive control methods. In addition, the proposed control is easy to implement as it selects a simple structure and a modification of the classical control scheme. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
00207721
Volume :
47
Issue :
5
Database :
Academic Search Index
Journal :
International Journal of Systems Science
Publication Type :
Academic Journal
Accession number :
112192618
Full Text :
https://doi.org/10.1080/00207721.2014.915352