A Practical PI Tuning Approach For Time Delay Systems

Onat, Cem; Hamamcı, Serdar Ethem; Obuz, Serhat

doi:10.3182/20120622-3-us-4021.00027

Cited by 18 publications

(19 citation statements)

References 16 publications

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“…In this paper, a method to obtain region of stability utilizing the stability boundary locus is proposed [10]. The one-input, one-output control closed loop system is as shown in…”

Section: A Computation Of Stability Regionmentioning

confidence: 99%

“…C. Onat et al, 2012 gave new proposal on PI tuning method established on stabilizing controller parameters area for the time delay techniques. The concept is weighted geometric center of stabilizing controller in a region specified by parameters calculated by the computation technique used [10]. C.B.Kadu et al, 2016 proposed a stability evaluation procedure for designing a PID controller for time prolong system validated with actual-time experimentation with Interacting method [11].…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, a simple method has been adopted for the design of PI controller based on weighted geometric center method [10]. The applicability of the newly obtained PI controller based on weighted geometric center method is demonstrated through four simulation examples.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design of PI controller for Liquid Level System using Siemens Distributed Control System

Kadu¹,

Tidame²,

Vikhe³

et al. 2019

IJRTE

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 Abstract: The PI controller design for a liquid level system using the weighted geometric center method is discussed. Every real-time process have dead time. This dead time leads to the generation of oscillation in the system response. The oscillation generated due to dead time introduces instability in system performance. DCS PCS7 V8.1 platform. This paper presents a tuning method based on calculating a geometric center in the stability region for a higher order system. In this, the stability region calculated by plotting (K p , K i )-plane based on boundary locus stability technique. Further centre point computed in the stability locus by a geometric center method. This center point will provide K p , K i value for tuning the PI controller. The First Order Plus Dead Time (FOPDT) process considered to elaborate the method for computing the tuning parameters. A nonlinear time-delay system and a plant having time-delay response are controlled in simulation. The performance of the newly obtained PI controller based on weighted geometric center method is compared with the existing results to show the usefulness of the control scheme. Moreover, disturbance rejection ability of the newly obtained PI controller based on weighted geometric center method is demonstrated by applying disturbances. In addition, the designed controller implemented using Siemens

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“…In this paper, a method to obtain region of stability utilizing the stability boundary locus is proposed [10]. The one-input, one-output control closed loop system is as shown in…”

Section: A Computation Of Stability Regionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design of PI controller for Liquid Level System using Siemens Distributed Control System

Kadu¹,

Tidame²,

Vikhe³

et al. 2019

IJRTE

View full text Add to dashboard Cite

show abstract

“…In practical applications, PID controller parameter tuning methods are divided into three categories: the iterative optimization method based on intelligent optimization [26,27]; the setting formula method for specific system [3,4,28]; and a parameter selection method [29][30][31][32][33][34] based on the stable region. e stable boundary locus (SBL) method has been widely studied, which provides an effective solution for some specific systems.…”

Section: Introductionmentioning

confidence: 99%

A New Design Method for PI‐PD Control of Unstable Fractional‐Order System with Time Delay

2019

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In this paper, a practical PI-PD controller parameter tuning method is proposed, which uses the incenter of the triangle and the Fermat point of the convex polygon to optimize the PI-PD controller. Combined with the stability boundary locus method, the PI-PD controller parameters that can ensure stability for the unstable fractional-order system with time delay are obtained. Firstly, the parameters of the inner-loop PD controller are determined by the centre coordinates of the CSR in the kd−kf plane. Secondly, a new graphical method is used to calculate the parameters of the PI controller, in which Fermat points in the CSR of (kp−ki) plane are selected. Furthermore, the method is extended to uncertain systems, and the PI-PD controller parameters are obtained by using the proposed method through common stable region of all stable regions. The proposed graphical method not only ensures the stability of the closed-loop system but also avoids the complicated optimization calculations. The superior control performance of this method is illustrated by simulation.

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“…Also, they are not compatible for long term usage. On the contrary, the flame images can immediately reflect the current status of the combustors and so they are crucial in perspective of the combustion control because of decreasing structural dead time of the combustion process inasmuch as the dead time affects adversely disturbance rejection performance of closed loop control systems [5][6][7][8]. Due to the ability of the flame images, there is abundance of theory on flame image processing technology.…”

Section: Introductionmentioning

confidence: 99%

A Basic ANN System for Prediction of Excess Air Coefficient on Coal Burners Equipped with a CCD Camera

Onat¹,

Daskin²

2019

Self Cite

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Excess air coefficient (λ) is the most important parameter characterizing the combustion efficiency. Conventional measurement of λ is practiced by way of the flue analyze device with high market priced. Estimating of the λ from flame images is crucial in perspective of the combustion control because of decreasing structural dead time of the combustion process. Beside, estimation systems can be used continuously in a closed loop control system, unlike conventional analyzers. This paper represents a basic λ prediction system with a neural network for small scale nut coal burner equipped with a CCD camera. The proposed estimation system has two inputs. First input is stack gas temperature simply measuring from the flue. To choose the second input, eleven different matrix parameters have been evaluated together with flue gas temperature values and performed by matrix-based multiple linear regression analysis. As a result of these analyses, it has been seen that the trace of image matrix obtained from the flame image provides higher accuracy than the other matrix parameters. This instantaneous trace value of image source matrix is then filtered from high frequency dynamics by means of a low pass filter. Experimental data of the inputs and λ are synchronously matched by a neural network. Trained algorithm has reached R=0.984 in terms of accuracy. It is seen from the result that proposed estimating system using flame image with assistance of the stack gas temperature can be preferred in combustion control systems.

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A Practical PI Tuning Approach For Time Delay Systems

Cited by 18 publications

References 16 publications

Design of PI controller for Liquid Level System using Siemens Distributed Control System

Design of PI controller for Liquid Level System using Siemens Distributed Control System

A New Design Method for PI‐PD Control of Unstable Fractional‐Order System with Time Delay

A Basic ANN System for Prediction of Excess Air Coefficient on Coal Burners Equipped with a CCD Camera

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