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

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  • Ridong Zhang
  • Renquan Lu
  • Shuqing Wang

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.

Suggested Citation

  • Ridong Zhang & Renquan Lu & Shuqing Wang, 2016. "Improved control using PFC and modified linear quadratic regulator for a kind of nonlinear systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(5), pages 1121-1129, April.
    • Handle: RePEc:taf:tsysxx:v:47:y:2016:i:5:p:1121-1129
    DOI: 10.1080/00207721.2014.915352
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