A modified Smith predictor for controlling a process with an integrator and long dead-time

Mataušek, Miroslav R.; Micić, Aleksandar

doi:10.1109/9.533684

Cited by 264 publications

(181 citation statements)

References 4 publications

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“…In Fig. 17 the Nyquist diagram is shown for process 5 when T r is found by the procedure presented and as recommended in [Matausek and Micic, 1996]. It can be seen that the latter results in an unstable closed-loop system.…”

Section: Extensionsmentioning

confidence: 99%

“…In [Matausek and Micic, 1996] it was suggested that a suitable value of T r , given that this value would be available, could be the apparent time constant of the dynamics additional to the integrator or P i (s)e −5s . This is shown as well in the table as T n .…”

Section: Simulation Examplesmentioning

confidence: 99%

“…In [Normey-Rico and Camacho, 1999] the closed-loop time constant was related to an assumed dead-time error between the model and process. In [Matausek and Micic, 1999] it was suggested that the closed-loop time constant should be set equal to the apparent time constant of the dynamics additional to the integrator.…”

Section: Dead-time Compensationmentioning

confidence: 99%

“…Modified Smith Predictor (MSP) presented in [Matausek and Micic, 1996]. There, care was taken to make sure all parameters could be related to identified parameters of the process model or to classical control theory concepts.…”

Section: Unstable Case Integrating Processesmentioning

confidence: 99%

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Robust tuning procedures of dead-time compensating controllers

Ingimundarson

Hägglund

2001

Control Engineering Practice

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This paper describes tuning procedures for dead-time compensating controllers (DTC). Both stable and integrating processes are considered. Simple experiments are performed to obtain process models as well as bounds on the allowable bandwidth for stability. The DTC's used have few parameters with clear physical interpretation so that manual tuning is possible. Furthermore, it is shown how the DTC's can be made robust towards dead-time variations.

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Section: Extensionsmentioning

confidence: 99%

Section: Simulation Examplesmentioning

confidence: 99%

Section: Dead-time Compensationmentioning

confidence: 99%

Section: Unstable Case Integrating Processesmentioning

confidence: 99%

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Robust tuning procedures of dead-time compensating controllers

Ingimundarson

Hägglund

2001

Control Engineering Practice

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“…The controller proposed by Matausek and Micic (1996), presented in Figure 2, is a simple and straightforward modification of the Smith predictor for the integrating process. The high closed loop system performances, i.e., fast set point response and satisfactory load disturbance rejection, can be obtained even in the presence of the unmodelled dynamics.…”

Section: Dtc By Matausek and Micic (1996)mentioning

confidence: 99%

Control of integrating process with dead time using auto-tuning approach

Saravanakumar

Wahidabanu

2009

Braz. J. Chem. Eng.

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-A modification of Smith predictor for controlling higher order processes with integral action and long dead-time is proposed in this paper. The controller used in this Smith predictor is an IntegralProportional Derivative controller, where the Integrator is in the forward path and the Proportional and Derivative control are in the feedback, acting on the feedback signal. The main objective of this paper is to design a dead time compensator, which has minimum tuning parameters, simple controller tuning, and robust performance of tuning formulae, and to obtain a critically damped system that is as fast as possible in its set point and load disturbance rejection performance. The controller in this paper is tuned by an adaptive method. This paper also presents a survey of various dead time compensators and their performance analysis.

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Control Tools

Chadli¹

2013

Command‐Control for Real‐Time Systems

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A modified Smith predictor for controlling a process with an integrator and long dead-time

Cited by 264 publications

References 4 publications

Robust tuning procedures of dead-time compensating controllers

Robust tuning procedures of dead-time compensating controllers

Control of integrating process with dead time using auto-tuning approach

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