Discrete Modified Internal Model Control Using PFC for the Plants with a Time Delay

Masukake, Yuichi; Ono, Masashi; Ogawa, Hiromitsu; Ishida, Yoshiteru

doi:10.1109/iccae.2009.45

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…However, for plants with integrators, both IMC and the Smith predictor induce a steady state error due to an input-side disturbance; this is serious problem. The approaches used to solve this problem include the modified IMC [3], the modified Smith predictor that use a predictor of the controlled plant [4] [5], the method of connecting a PID controller predictor and a model of the controlled plant to the conventional PID control system (PID control with time delay compensation). [6] These are effective methods for reducing the influence of the time delay on the disturbance response.…”

Section: Introductionmentioning

confidence: 99%

A Discrete PID Control System Using Predictors and an Observer for the Influence of a Time Delay

Hikichi¹,

Sasaki²,

Tanaka³

et al. 2013

IJMO

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Abstract-In this paper, a control system for the influence of a time delay compensation using predictors and a disturbance observer is proposed. The time delay in the controlled plant is one of the serious problems decreasing the control stability. Therefore, many control methods for controlled plants with a time delay have been proposed until now. We proposed an effective control system for influence of time delay by connecting predictors and a disturbance observer to a PID control system. It alleviates the influence of the time delay on the target response and disturbance response.

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Section: Introductionmentioning

confidence: 99%

A Discrete PID Control System Using Predictors and an Observer for the Influence of a Time Delay

Hikichi¹,

Sasaki²,

Tanaka³

et al. 2013

IJMO

Self Cite

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“…So the study of IMC for the application to superheated steam in power plant is of great significance. For the accuracy of the model which IMC use affects the controller's performance, so it will have a better performance if we used an adaptive modeling method for the internal model for IMC [2].…”

Section: Introductionmentioning

confidence: 99%

Internal model control using LMS filter and its application to superheated steam temperature of power plant

Zhu

Liu

Chang

et al. 2010

2010 the 2nd International Conference on Computer and Automation Engineering (ICCAE)

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For the thermal process is of special features, and it could be disturbed by uncertain factors easily, a novel modeling method based on least mean square (LMS) adaptive filter is presented. Based on the internal model control (IMC) principle, the sub-loop system and the inert area of the superheated steam system are considered as a generalized control object, an internal model-P cascade control system is designed. The models are built by the adaptive LMS filter, the corresponding internal controller is designed, and the selfadaptive control of the full operating condition is realized. The simulation result under typical operating condition in the superheated steam process of a supercritical once-through 600MW boiler show that the method has a good regulating performance. The method is based on the online identification; it is adapted to the complex industrial process whose dynamic characters varied with different operating conditions.

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Discrete Modified Internal Model Control For A Nth-Order Plant With An Integrator And Dead-Time

Ono¹,

Ogawa²,

Ban³

et al. 2009

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Discrete Modified Internal Model Control Using PFC for the Plants with a Time Delay

Cited by 3 publications

References 9 publications

A Discrete PID Control System Using Predictors and an Observer for the Influence of a Time Delay

A Discrete PID Control System Using Predictors and an Observer for the Influence of a Time Delay

Internal model control using LMS filter and its application to superheated steam temperature of power plant

Discrete Modified Internal Model Control For A Nth-Order Plant With An Integrator And Dead-Time

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