Retuning oscillatory PID control loops based on plant operation data

Seki, Hiroya; Shigemasa, Takashi

doi:10.1016/j.jprocont.2009.12.004

Cited by 26 publications

(18 citation statements)

References 11 publications

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“…However, for lag-dominated processes, processes with oscillatory dynamics and integrating/unstable processes PID controller guarantees considerably better performance than PI controller, if adequate tuning of the PID controller is performed (Mataušek & Šekara, 2011). Moreover, PID controller is a "prerequisite for successful advanced controller implementation" (Seki & Shigemasa, 2010).…”

Section: Modeling and Classification Of Stable Integrating And Unstmentioning

confidence: 99%

PID Controller Tuning Based on the Classification of Stable, Integrating and Unstable Processes in a Parameter Plane

Šekara¹,

Mataušek²

2012

Frontiers in Advanced Control Systems

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Section: Modeling and Classification Of Stable Integrating And Unstmentioning

confidence: 99%

PID Controller Tuning Based on the Classification of Stable, Integrating and Unstable Processes in a Parameter Plane

Šekara¹,

Mataušek²

2012

Frontiers in Advanced Control Systems

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“…With Tc and Kc characteristics of the system obtained on the previous step, controller parameters are obtained. Many expressions have been developed by different authors [14,[16][17][18][19] with the aim to achieve, among others:…”

Section: Obtaining Controller Parameters With Formulasmentioning

confidence: 99%

“…In this study four methods have been taken into account: Ziegler-Nichols, Ziegler-Nichols some overshoot, Ziegler-Nichols without overshoot and Tyreus-Luyben [16][17][18][19]. All of them are for Load Disturbance rejection criteria.…”

Section: Obtaining Controller Parameters With Formulasmentioning

confidence: 99%

A bio-inspired knowledge system for control tuning (BIO-KSY)

Calvo-Rolle

García

Corchado

et al. 2011

2011 Third World Congress on Nature and Biologically Inspired Computing

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This study presents a novel bio-inspired knowledge system, based in closed loop tuning, for the calculation of the Proportional-Integral-Derivative (PID) controller parameters. The aim is to achieve automatically the best parameters according with the work point and the dynamics of the plant. For it, in our study, several typical expressions and systems have been taken into account to build the model. Each of these expressions is appropriated for a particular system. The novel method is empirically verified with a real dataset obtained by a liquid-level laboratory plant.

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“…Seki and Shigemasa [32] proposed integrated identification and PID retuning procedure for several processes. Identification is based on comparing disturbance responses of two controllers with different parameter settings, which does not require any explicit external perturbation signal.…”

Section: Introductionmentioning

confidence: 99%

A unified approach for proportional-integral-derivative controller design for time delay processes

Shamsuzzoha

2014

Korean J. Chem. Eng.

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An analytical design method for PI/PID controller tuning is proposed for several types of processes with time delay. A single tuning formula gives enhanced disturbance rejection performance. The design method is based on the IMC approach, which has a single tuning parameter to adjust the performance and robustness of the controller. A simple tuning formula gives consistently better performance as compared to several well-known methods at the same degree of robustness for stable and integrating process. The performance of the unstable process has been compared with other recently published methods which also show significant improvement in the proposed method. Furthermore, the robustness of the controller is investigated by inserting a perturbation uncertainty in all parameters simultaneously, again showing comparable results with other methods. An analysis has been performed for the uncertainty margin in the different process parameters for the robust controller design. It gives the guidelines of the M s setting for the PI controller design based on the process parameters uncertainty. For the selection of the closed-loop time constant, (τ c ), a guideline is provided over a broad range of θ/τ ratios on the basis of the peak of maximum uncertainty (M s ). A comparison of the IAE has been conducted for the wide range of θ/τ ratio for the first order time delay process. The proposed method shows minimum IAE in compared to SIMC, while Lee et al. shows poor disturbance rejection in the lag dominant process. In the simulation study, the controllers were tuned to have the same degree of robustness by measuring the M s , to obtain a reasonable comparison.

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Retuning oscillatory PID control loops based on plant operation data

Cited by 26 publications

References 11 publications

PID Controller Tuning Based on the Classification of Stable, Integrating and Unstable Processes in a Parameter Plane

PID Controller Tuning Based on the Classification of Stable, Integrating and Unstable Processes in a Parameter Plane

A bio-inspired knowledge system for control tuning (BIO-KSY)

A unified approach for proportional-integral-derivative controller design for time delay processes

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