Two degree-of-freedom of generalized predictive control for MIMO systems based on state space approach

Akira Yanou, Shiro Masuda, Mingcong Deng, Mamoru Minami

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

Generalized Predictive Control(GPC) can achieve a robust tracking to step-type reference signal because of integral compensation in it. But if there is neither modeling error nor disturbance, it does not need the integral compensation for tracking to step-type reference signal. And the integral compensation may cause a slow transient response or generate an extra control input. Although the authors have proposed a design method of two degree-of-freedom GPC for SISO systems and m-input m-output systems, the design method has not been considered for MIMO systems, which has different number of inputs and outputs. Therefore, this paper explores a design method of two degree-of-freedom GPC for MIMO systems and its effectiveness is evaluated.

Original languageEnglish
Pages518-523
Number of pages6
Publication statusPublished - Jul 28 2011
Event2011 International Symposium on Advanced Control of Industrial Processes, ADCONIP 2011 - Hangzhou, Zhejiang, China
Duration: May 23 2011May 26 2011

Other

Other2011 International Symposium on Advanced Control of Industrial Processes, ADCONIP 2011
CountryChina
CityHangzhou, Zhejiang
Period5/23/115/26/11

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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    Yanou, A., Masuda, S., Deng, M., & Minami, M. (2011). Two degree-of-freedom of generalized predictive control for MIMO systems based on state space approach. 518-523. Paper presented at 2011 International Symposium on Advanced Control of Industrial Processes, ADCONIP 2011, Hangzhou, Zhejiang, China.