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

Akira Yanou; Shiro Masuda; Mingcong Deng; Mamoru Minami

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

Akira Yanou, Shiro Masuda, Mingcong Deng, Mamoru Minami

School of Engineering

Research output: Contribution to conference › Paper › peer-review

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 language	English
Pages	518-523
Number of pages	6
Publication status	Published - Jul 28 2011
Event	2011 International Symposium on Advanced Control of Industrial Processes, ADCONIP 2011 - Hangzhou, Zhejiang, China Duration: May 23 2011 → May 26 2011

Other

Other	2011 International Symposium on Advanced Control of Industrial Processes, ADCONIP 2011
Country/Territory	China
City	Hangzhou, Zhejiang
Period	5/23/11 → 5/26/11

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering

Cite this

Two degree-of-freedom of generalized predictive control for MIMO systems based on state space approach. / Yanou, Akira; Masuda, Shiro; Deng, Mingcong et al.
2011. 518-523 Paper presented at 2011 International Symposium on Advanced Control of Industrial Processes, ADCONIP 2011, Hangzhou, Zhejiang, China.

Research output: Contribution to conference › Paper › peer-review

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AB - 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.

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

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