A model-driven PID control system and its case studies

Shigemasa, Takashi; Yukitomo, M.; Kuwata, R.

doi:10.1109/cca.2002.1040248

Cited by 15 publications

(15 citation statements)

References 4 publications

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“…Three control systems performances have been compared i.e. IT MD TDOF PID tuned by the proposed improved method, PT MD TDOF PID tuned by previous method [7] and traditional PID tuned by Ziegler-Nichols method. For the traditional PID system, the parameters were tuned by using the Open-Loop method [3] and are shown in TABLE I.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…If gain K and time constant T can be smaller than those of the originally controlled process P(s), the integral error (IE) of MD TDOF PID control system will be smaller than those of the originally controlled process [7] i.e. good control performance can be obtained.…”

Section: A MD Tdof Pid Control System Configurationmentioning

confidence: 98%

“…MD TDOF PID control system 1) PD Feedback Compensator PD feedback compensator is used to stabilize a plant (process) P(s) and make the transfer function of the process including the PD feedback itself F(s) to first order delay system with dead time [1]. A well designed PD feedback compensator F(s) will treat integral, oscillatory processes with small dead-time or unstable processes to achieve the control objective [7][8][9]. Hence, the transfer function of the controlled system from v to y is expressed by:…”

Section: A MD Tdof Pid Control System Configurationmentioning

confidence: 99%

“…When P(s) is identified, the PD feedback F(s) can be designed by using many design methods such as the principle pole place allocation method, gain margin and phase margin method, the root locus method, model match method and optimization method [7]. The PD Feedback compensator was designed using model matching based on K. Toshiyuki [1,7].…”

Section: A MD Tdof Pid Control System Configurationmentioning

confidence: 99%

“…The PD Feedback compensator was designed using model matching based on K. Toshiyuki [1,7]. The PD feedback compensator is designed as:…”

Section: A MD Tdof Pid Control System Configurationmentioning

confidence: 99%

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Improved parameters tuning method of model-driven PID control systems

Zhao

Xie

Tu³

2011

2011 6th IEEE Conference on Industrial Electronics and Applications

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In this paper, an improved parameters tuning method of model-driven two degree of freedom PID control system has been proposed to enhance the control performances of a PID controlled system. Known for its ability of stabilizing the unstable processes, fast tracking to the change of set points and rejecting disturbance, the model-driven two degree of freedom PID so called MD TDOF PID has gained research interest recently. The tuning methods for the previous MD TDOF PID are based on internal model control (IMC) method. In this paper, an integral of time and absolute error (ITAE) tuning and noise effect minimizing method is proposed for two parameters in MD TDOF PID control system to achieve the desired regulating and disturbance rejection performance. The comparison with traditional PID controller and the designed MD TDOF PID in [6] demonstrate the effectiveness of the proposed tuning methods.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: A MD Tdof Pid Control System Configurationmentioning

confidence: 98%

Section: A MD Tdof Pid Control System Configurationmentioning

confidence: 99%

Section: A MD Tdof Pid Control System Configurationmentioning

confidence: 99%

“…The PD Feedback compensator was designed using model matching based on K. Toshiyuki [1,7]. The PD feedback compensator is designed as:…”

Section: A MD Tdof Pid Control System Configurationmentioning

confidence: 99%

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Improved parameters tuning method of model-driven PID control systems

Zhao

Xie

Tu³

2011

2011 6th IEEE Conference on Industrial Electronics and Applications

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A novel adaptive LFC based on MPC method

Rehiara

Yorino

Sasaki

et al. 2019

IEEJ Transactions Elec Engng

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This article presents a novel load frequency control (LFC) method using an adaptive internal model of a power system, where model predictive control (MPC) technique is applied to the internal model, which is being updated on‐line. The proposed method will improve the LFC performance by reducing model identification error and by handling the disturbance effectively. Novelty lies in the combination of MPC and the effective use of the internal model to meet the response time of real world LFC control, which is typically equivalent to generation dispatch control cycle. The effectiveness of the proposed control is confirmed by simulations using a three‐area power system model. The results show that the proposed method can accurately identify the target plant and successfully handle disturbances to realize a reliable LFC. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Particle Discharge Rate Analysis and Control Laws of the Exit Gate for Pyramidal Hoppers

Kim

2021

Int. J. Control Autom. Syst.

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A model-driven PID control system and its case studies

Cited by 15 publications

References 4 publications

Improved parameters tuning method of model-driven PID control systems

Improved parameters tuning method of model-driven PID control systems

A novel adaptive LFC based on MPC method

Particle Discharge Rate Analysis and Control Laws of the Exit Gate for Pyramidal Hoppers

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