Optimizing the Control System of Clinker Cooling: Process Modeling and Controller Tuning

This paper aims to present efficient efforts to optimize the proportional-integral-differential (PID) controller of clinker cooling in grate coolers, which have a fixed grate and at least two moving ones. The process model contains three transfer functions between the speed of the moving grate and t...

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Main Author: Dimitris Tsamatsoulis
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:ChemEngineering
Subjects:
Online Access:https://www.mdpi.com/2305-7084/5/3/50
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spelling doaj-cd718b992a1c4e4281b48af9512f17e82021-09-25T23:53:48ZengMDPI AGChemEngineering2305-70842021-08-015505010.3390/chemengineering5030050Optimizing the Control System of Clinker Cooling: Process Modeling and Controller TuningDimitris Tsamatsoulis0Halyps Building Materials S.A., HeidelbergCement Group, 17th klm National Road Athens –Korinth, 19300 Aspropyrgos, GreeceThis paper aims to present efficient efforts to optimize the proportional-integral-differential (PID) controller of clinker cooling in grate coolers, which have a fixed grate and at least two moving ones. The process model contains three transfer functions between the speed of the moving grate and the pressures of the static and moving grates. The developed software achieves the identification of the model parameters using industrial data and by implementing non-linear regression methods. The design of the PID controller follows a loop-shaping technique, imposing as a constraint the maximum sensitivity, <i>M<sub>s</sub></i>, of the open-loop transfer function and providing a set of PIDs that satisfy a range of <i>M<sub>s</sub></i>. A simulator determines the optimal PID sets among those calculated at the design step using the integral of absolute error (<i>IAE</i>) as a performance criterion. The combination of a robustness constraint with a performance criterion, <i>M<sub>s</sub></i> and <i>IAE</i> respectively, leads to an area of controllers with <i>M<sub>s</sub></i> belonging to the range of 1.2 to 1.35. The IAE is between 4.2% and 4.8%, depending on the set-point value. PID sets located near the middle of this area can be chosen and implemented in the cooler’s routine operation.https://www.mdpi.com/2305-7084/5/3/50cementclinkercoolerPID controllerrobustnessloop shaping
collection DOAJ
language English
format Article
sources DOAJ
author Dimitris Tsamatsoulis
spellingShingle Dimitris Tsamatsoulis
Optimizing the Control System of Clinker Cooling: Process Modeling and Controller Tuning
ChemEngineering
cement
clinker
cooler
PID controller
robustness
loop shaping
author_facet Dimitris Tsamatsoulis
author_sort Dimitris Tsamatsoulis
title Optimizing the Control System of Clinker Cooling: Process Modeling and Controller Tuning
title_short Optimizing the Control System of Clinker Cooling: Process Modeling and Controller Tuning
title_full Optimizing the Control System of Clinker Cooling: Process Modeling and Controller Tuning
title_fullStr Optimizing the Control System of Clinker Cooling: Process Modeling and Controller Tuning
title_full_unstemmed Optimizing the Control System of Clinker Cooling: Process Modeling and Controller Tuning
title_sort optimizing the control system of clinker cooling: process modeling and controller tuning
publisher MDPI AG
series ChemEngineering
issn 2305-7084
publishDate 2021-08-01
description This paper aims to present efficient efforts to optimize the proportional-integral-differential (PID) controller of clinker cooling in grate coolers, which have a fixed grate and at least two moving ones. The process model contains three transfer functions between the speed of the moving grate and the pressures of the static and moving grates. The developed software achieves the identification of the model parameters using industrial data and by implementing non-linear regression methods. The design of the PID controller follows a loop-shaping technique, imposing as a constraint the maximum sensitivity, <i>M<sub>s</sub></i>, of the open-loop transfer function and providing a set of PIDs that satisfy a range of <i>M<sub>s</sub></i>. A simulator determines the optimal PID sets among those calculated at the design step using the integral of absolute error (<i>IAE</i>) as a performance criterion. The combination of a robustness constraint with a performance criterion, <i>M<sub>s</sub></i> and <i>IAE</i> respectively, leads to an area of controllers with <i>M<sub>s</sub></i> belonging to the range of 1.2 to 1.35. The IAE is between 4.2% and 4.8%, depending on the set-point value. PID sets located near the middle of this area can be chosen and implemented in the cooler’s routine operation.
topic cement
clinker
cooler
PID controller
robustness
loop shaping
url https://www.mdpi.com/2305-7084/5/3/50
work_keys_str_mv AT dimitristsamatsoulis optimizingthecontrolsystemofclinkercoolingprocessmodelingandcontrollertuning
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