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

Saravanakumar, G.; Wahidabanu, R. S. D.

doi:10.1590/s0104-66322009000100009

Cited by 4 publications

(4 citation statements)

References 10 publications

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“…11) orders are given as follows (Z. Kalateh (11) The following block diagram is (Fig. 1) is used up for simulations related to the FOPDT modelling of the 4th order blending process (Eq.…”

Section: Methodsmentioning

confidence: 99%

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Adopting pade approximation for first order plus dead time models for blending process

Mehta

Swarnalatha

2018

IJET

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Dead-time is common to real time processes and occurs when the process variable doesn’t acknowledge to any changes in the set point. Existence of dead time in the systems poses a challenge to control and stabilize, especially in a control feedback loop. Padé approximation provides a determinate approximation of the dead time in the continuous process systems, which can be utilized in the further simulations of equivalent First Order plus Dead Time Models. However, the standard Padé approximation with the same numerator- denominator derivative power, exhibits a jolt at time t=0. This gives an inaccurate approximation of the dead time. To avoid this phenomenon, increasing orders of Padé approximation is applied. In the following manuscript, equivalent First Order plus Dead-Time models of two blending systems of orders four and seven are analysed for the same. As the orders of the Padé approximation increases, the accuracy of the response also increases. The oscillations are increased on a much smaller scale rather than having one big dip in the negative region (as observed in the first few orders of Padé approximation), and the approximation tries to synchronize with the desired response curve in the positive region. All the simulations are done in MATLAB.

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“…11) orders are given as follows (Z. Kalateh (11) The following block diagram is (Fig. 1) is used up for simulations related to the FOPDT modelling of the 4th order blending process (Eq.…”

Section: Methodsmentioning

confidence: 99%

“…Blending systems are very common in process industries such as Oil & Gas, Waste water treatment, Paper, Food, Pharmaceutical, Chemical and many more (Saravanakumar and Wahidabanu, 2009). The real time industrial problems are non-linear in nature and exhibit dead time / time delay (Smith et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Adopting pade approximation for first order plus dead time models for blending process

Mehta

Swarnalatha

2018

IJET

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“…They obtained promising results using simulation through application to typical hysteresis compensation problems in multiple of processes and applications [7]. Saravanakumar and Wahidabanu (2009) proposed a modified Smith predictor for controlling high-order processes with integral action and long deadtime. The controller was a PID one with integrator in the forward path and proportional and derivative parts in the feedback acting on the signal.…”

Section: Introductionmentioning

confidence: 99%

“…The controller was a PID one with integrator in the forward path and proportional and derivative parts in the feedback acting on the signal. They tuned the controller parameters to obtain a critically damped system for set point and load disturbance rejection performance [8]. Namazov and Basturk (2010) presented the design of a fuzzy control system to control the position of a DC motor.…”

Section: Introductionmentioning

confidence: 99%

Controller Tuning for Disturbance Rejection Associated With Delayed Double Integrating Processes, Part Ii: I-Pd Controller

Hassaan

2020

EIJSE

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An I-PD controller is investigated for disturbance rejection associated with delayed double integrating processes. The controller is tuned using the MATLAB optimization toolbox and five different error-based objective functions for process time delay between 0.1 and 5 s. The more suitable objective function for disturbance rejection with the I-PD controller used with the delayed double integrating process is assigned and the effect of the process time delay on the performance of the control system in the time domain is shown. The unit step disturbance input time response of the control system has a maximum value less than 0.431, time of maximum time response less than 1.01 s and a settling time less than 15 s for time delay ≤ 1 s. The simulation results using the I-PD controller are superior when compared with other disturbance rejection techniques based on using PD-PI and PIDF controllers.

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On oscillation reduction in feedback control for processes with an uncertain dead time and internal–external disturbances

Zhang

Gao

et al. 2015

ISA Transactions

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

Cited by 4 publications

References 10 publications

Adopting pade approximation for first order plus dead time models for blending process

Adopting pade approximation for first order plus dead time models for blending process

Controller Tuning for Disturbance Rejection Associated With Delayed Double Integrating Processes, Part Ii: I-Pd Controller

On oscillation reduction in feedback control for processes with an uncertain dead time and internal–external disturbances

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