Two-Degree-of-Freedom Generalized Predictive Control in a Multirate System

Satô, Takao; Yanai, Hiroyuki; Yanou, Akira; Masuda, Shiro

doi:10.1109/icicic.2008.583

Cited by 1 publication

(7 citation statements)

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“…In the control systems including integral compensation, a plant output can follow a steptype reference input robustly even if modeling error or step disturbance exists. However, if there is neither of them, a transient response might deteriorate due to the integrator [5], [6]. Therefore, the effect of integral compensation should not appear if there is neither modeling error nor step disturbance [5], [6].…”

Section: Introductionmentioning

confidence: 94%

“…A multirate GPC law without an integrator is derived on minimization of the following evaluation function [6], [8]:…”

Section: A 1dof Multirate Gpc Without Integral Compensationmentioning

confidence: 99%

“…However, if there is neither of them, a transient response might deteriorate due to the integrator [5], [6]. Therefore, the effect of integral compensation should not appear if there is neither modeling error nor step disturbance [5], [6]. To this end, Generalized Predictive Control (GPC) [7] in a multirate system is designed as a two-degree-offreedom (2DOF) system to reveal integral compensation only H. Yanai if there is modeling error or disturbance [6].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the effect of integral compensation should not appear if there is neither modeling error nor step disturbance [5], [6]. To this end, Generalized Predictive Control (GPC) [7] in a multirate system is designed as a two-degree-offreedom (2DOF) system to reveal integral compensation only H. Yanai if there is modeling error or disturbance [6]. If a control system is designed using integral compensation, the control input in steady state oscillates due to modeling error, As a result, intersample ripples occur because of the control input oscillation, although sample behavior converges to its reference input [6], [8] Therefore, it is desired that the variation of the control input is reduced when there is modeling error or step disturbance.…”

Section: Introductionmentioning

confidence: 99%

“…To this end, Generalized Predictive Control (GPC) [7] in a multirate system is designed as a two-degree-offreedom (2DOF) system to reveal integral compensation only H. Yanai if there is modeling error or disturbance [6]. If a control system is designed using integral compensation, the control input in steady state oscillates due to modeling error, As a result, intersample ripples occur because of the control input oscillation, although sample behavior converges to its reference input [6], [8] Therefore, it is desired that the variation of the control input is reduced when there is modeling error or step disturbance. To this end, this paper proposes a method for designing a 2DOF GPC law such that integral compensation for control input is revealed when there is modeling error or step disturbance.…”

Section: Introductionmentioning

confidence: 99%

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Two degree-of-freedom generalized predictive control with integral compensation in a multirate system

Yanai

Satô

Yanou

et al. 2009

2009 International Conference on Networking, Sensing and Control

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This paper deals with a multirate control system, where the sampling interval of the plant output is an integer multiple of the hold interval of the control input. In the multirate system, intersample output may oscillate even if a sampled output converges to a reference input. Therefore, this paper proposes a new design method to suppress intersample ripple in the multirate system, the numerical examples demonstrate its effectiveness.

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