Robustness of optimized FPID controller against uncertainty and disturbance by fractional nonlinear model for research nuclear reactor

In this study, a fractional order proportional integral derivative (FOPID) controller is designed to create the reference power trajectory and to conquer the uncertainties and external disturbances. A fractional nonlinear model was utilized to describe the nuclear reactor dynamic behaviour consideri...

Full description

Bibliographic Details
Main Authors: Nafiseh Zare, Gholamreza Jahanfarnia, Abdollah Khorshidi, Jamshid Soltani
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:Nuclear Engineering and Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1738573320300541
id doaj-49c5a5b052df4bd39b2c021c0e9acd53
record_format Article
spelling doaj-49c5a5b052df4bd39b2c021c0e9acd532020-11-25T03:27:43ZengElsevierNuclear Engineering and Technology1738-57332020-09-0152920172024Robustness of optimized FPID controller against uncertainty and disturbance by fractional nonlinear model for research nuclear reactorNafiseh Zare0Gholamreza Jahanfarnia1Abdollah Khorshidi2Jamshid Soltani3Department of Engineering, Parand Branch, Islamic Azad University, Parand, IranDepartment of Nuclear Engineering, Science and Research Branch, Islamic Azad University, Tehran, IranSchool of Paramedical, Gerash University of Medical Sciences, Gerash, Iran; Department of Engineering, Parand Branch, Islamic Azad University, Parand, Iran; Corresponding author. Department of Engineering, Parand Branch, Islamic Azad University, Parand, Iran.Department of Engineering, Parand Branch, Islamic Azad University, Parand, IranIn this study, a fractional order proportional integral derivative (FOPID) controller is designed to create the reference power trajectory and to conquer the uncertainties and external disturbances. A fractional nonlinear model was utilized to describe the nuclear reactor dynamic behaviour considering thermal-hydraulic effects. The controller parameters were tuned using optimization method in Matlab/Simulink. The FOPID controller was simulated using Matlab/Simulink and the controller performance was evaluated for Hard variation of the reference power and compared with that of integer order a proportional integral derivative (IOPID) controller by two models of fractional neutron point kinetic (FNPK) and classical neutron point kinetic (CNPK). Also, the FOPID controller robustness was appraised against the external disturbance and uncertainties. Simulation results showed that the FOPID controller has the faster response of the control attempt signal and the smaller tracking error with respect to the IOPID in tracking the reference power trajectory. In addition, the results demonstrated the ability of FOPID controller in disturbance rejection and exhibited the good robustness of controller against uncertainty.http://www.sciencedirect.com/science/article/pii/S1738573320300541Integral derivative controllerNuclear reactor powerThermal-hydraulic equationsNeutron point kinetic modelsRod speedMatlab simulation
collection DOAJ
language English
format Article
sources DOAJ
author Nafiseh Zare
Gholamreza Jahanfarnia
Abdollah Khorshidi
Jamshid Soltani
spellingShingle Nafiseh Zare
Gholamreza Jahanfarnia
Abdollah Khorshidi
Jamshid Soltani
Robustness of optimized FPID controller against uncertainty and disturbance by fractional nonlinear model for research nuclear reactor
Nuclear Engineering and Technology
Integral derivative controller
Nuclear reactor power
Thermal-hydraulic equations
Neutron point kinetic models
Rod speed
Matlab simulation
author_facet Nafiseh Zare
Gholamreza Jahanfarnia
Abdollah Khorshidi
Jamshid Soltani
author_sort Nafiseh Zare
title Robustness of optimized FPID controller against uncertainty and disturbance by fractional nonlinear model for research nuclear reactor
title_short Robustness of optimized FPID controller against uncertainty and disturbance by fractional nonlinear model for research nuclear reactor
title_full Robustness of optimized FPID controller against uncertainty and disturbance by fractional nonlinear model for research nuclear reactor
title_fullStr Robustness of optimized FPID controller against uncertainty and disturbance by fractional nonlinear model for research nuclear reactor
title_full_unstemmed Robustness of optimized FPID controller against uncertainty and disturbance by fractional nonlinear model for research nuclear reactor
title_sort robustness of optimized fpid controller against uncertainty and disturbance by fractional nonlinear model for research nuclear reactor
publisher Elsevier
series Nuclear Engineering and Technology
issn 1738-5733
publishDate 2020-09-01
description In this study, a fractional order proportional integral derivative (FOPID) controller is designed to create the reference power trajectory and to conquer the uncertainties and external disturbances. A fractional nonlinear model was utilized to describe the nuclear reactor dynamic behaviour considering thermal-hydraulic effects. The controller parameters were tuned using optimization method in Matlab/Simulink. The FOPID controller was simulated using Matlab/Simulink and the controller performance was evaluated for Hard variation of the reference power and compared with that of integer order a proportional integral derivative (IOPID) controller by two models of fractional neutron point kinetic (FNPK) and classical neutron point kinetic (CNPK). Also, the FOPID controller robustness was appraised against the external disturbance and uncertainties. Simulation results showed that the FOPID controller has the faster response of the control attempt signal and the smaller tracking error with respect to the IOPID in tracking the reference power trajectory. In addition, the results demonstrated the ability of FOPID controller in disturbance rejection and exhibited the good robustness of controller against uncertainty.
topic Integral derivative controller
Nuclear reactor power
Thermal-hydraulic equations
Neutron point kinetic models
Rod speed
Matlab simulation
url http://www.sciencedirect.com/science/article/pii/S1738573320300541
work_keys_str_mv AT nafisehzare robustnessofoptimizedfpidcontrolleragainstuncertaintyanddisturbancebyfractionalnonlinearmodelforresearchnuclearreactor
AT gholamrezajahanfarnia robustnessofoptimizedfpidcontrolleragainstuncertaintyanddisturbancebyfractionalnonlinearmodelforresearchnuclearreactor
AT abdollahkhorshidi robustnessofoptimizedfpidcontrolleragainstuncertaintyanddisturbancebyfractionalnonlinearmodelforresearchnuclearreactor
AT jamshidsoltani robustnessofoptimizedfpidcontrolleragainstuncertaintyanddisturbancebyfractionalnonlinearmodelforresearchnuclearreactor
_version_ 1724587521967390720