Gain Scheduling of a Robust Setpoint Tracking Disturbance Rejection and Aggressiveness Controller for a Nonlinear Process

In this paper, a robust setpoint tracking disturbance rejection and aggressiveness (RTD-A) controller is designed and developed to control the liquid level of a conical tank process. Meta-heuristic algorithms like grey wolf optimization and the genetic algorithm are used to tune the parameters of th...

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Main Authors: Veeramani Bagyaveereswaran, Pachiyappan Arulmozhivarman
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Processes
Subjects:
PID
Online Access:https://www.mdpi.com/2227-9717/7/7/415
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spelling doaj-d1db9edf3a6442b39c67c25143b95ead2020-11-25T00:27:31ZengMDPI AGProcesses2227-97172019-07-017741510.3390/pr7070415pr7070415Gain Scheduling of a Robust Setpoint Tracking Disturbance Rejection and Aggressiveness Controller for a Nonlinear ProcessVeeramani Bagyaveereswaran0Pachiyappan Arulmozhivarman1School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamilnadu 632014, IndiaSchool of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamilnadu 632014, IndiaIn this paper, a robust setpoint tracking disturbance rejection and aggressiveness (RTD-A) controller is designed and developed to control the liquid level of a conical tank process. Meta-heuristic algorithms like grey wolf optimization and the genetic algorithm are used to tune the parameters of the RTD-A controller. Its performance is later compared with that of the conventional standard proportional integral derivative controller. The gain scheduled RTD-A controller is designed and implemented on a nonlinear conical tank process. Also, various performances attributes such as the integral square error, integral absolute error, integral time absolute error, rise time, and settling time are calculated for the first-order process and conical tank process. The servo responses with RTD-A are also compared against the responses recorded from the conventional control schemes.https://www.mdpi.com/2227-9717/7/7/415controllergain schedulingoptimizationPIDperformance criteriaservoregulatory
collection DOAJ
language English
format Article
sources DOAJ
author Veeramani Bagyaveereswaran
Pachiyappan Arulmozhivarman
spellingShingle Veeramani Bagyaveereswaran
Pachiyappan Arulmozhivarman
Gain Scheduling of a Robust Setpoint Tracking Disturbance Rejection and Aggressiveness Controller for a Nonlinear Process
Processes
controller
gain scheduling
optimization
PID
performance criteria
servo
regulatory
author_facet Veeramani Bagyaveereswaran
Pachiyappan Arulmozhivarman
author_sort Veeramani Bagyaveereswaran
title Gain Scheduling of a Robust Setpoint Tracking Disturbance Rejection and Aggressiveness Controller for a Nonlinear Process
title_short Gain Scheduling of a Robust Setpoint Tracking Disturbance Rejection and Aggressiveness Controller for a Nonlinear Process
title_full Gain Scheduling of a Robust Setpoint Tracking Disturbance Rejection and Aggressiveness Controller for a Nonlinear Process
title_fullStr Gain Scheduling of a Robust Setpoint Tracking Disturbance Rejection and Aggressiveness Controller for a Nonlinear Process
title_full_unstemmed Gain Scheduling of a Robust Setpoint Tracking Disturbance Rejection and Aggressiveness Controller for a Nonlinear Process
title_sort gain scheduling of a robust setpoint tracking disturbance rejection and aggressiveness controller for a nonlinear process
publisher MDPI AG
series Processes
issn 2227-9717
publishDate 2019-07-01
description In this paper, a robust setpoint tracking disturbance rejection and aggressiveness (RTD-A) controller is designed and developed to control the liquid level of a conical tank process. Meta-heuristic algorithms like grey wolf optimization and the genetic algorithm are used to tune the parameters of the RTD-A controller. Its performance is later compared with that of the conventional standard proportional integral derivative controller. The gain scheduled RTD-A controller is designed and implemented on a nonlinear conical tank process. Also, various performances attributes such as the integral square error, integral absolute error, integral time absolute error, rise time, and settling time are calculated for the first-order process and conical tank process. The servo responses with RTD-A are also compared against the responses recorded from the conventional control schemes.
topic controller
gain scheduling
optimization
PID
performance criteria
servo
regulatory
url https://www.mdpi.com/2227-9717/7/7/415
work_keys_str_mv AT veeramanibagyaveereswaran gainschedulingofarobustsetpointtrackingdisturbancerejectionandaggressivenesscontrollerforanonlinearprocess
AT pachiyappanarulmozhivarman gainschedulingofarobustsetpointtrackingdisturbancerejectionandaggressivenesscontrollerforanonlinearprocess
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