Data-driven neuroendocrine-pid tuning based on safe experimentation dynamics for control of TITO coupled tank system with stochastic input delay

This paper addresses a data-driven neuroendocrine-PID tuning for the control of a two-input-two-output (TITO) coupled tank system with sto-chastic input time delay based on safe experimentation dynamics (SED). The SED algorithm is an optimization method used as data-driven tools to find the optimal...

Full description

Bibliographic Details
Main Authors:	Mohd Riduwan, Ghazali, Mohd Ashraf, Ahmad, Raja Mohd Taufika, Raja Ismail
Format:	Conference or Workshop Item
Language:	English English
Published:	Springer, Singapore 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/24540/ http://umpir.ump.edu.my/id/eprint/24540/ http://umpir.ump.edu.my/id/eprint/24540/1/64.%20Data-driven%20neuroendocrine-pid%20tuning%20based.pdf http://umpir.ump.edu.my/id/eprint/24540/2/64.1%20Data-driven%20neuroendocrine-pid%20tuning%20based.pdf

id	ump-24540
recordtype	eprints
spelling	ump-245402019-10-21T01:42:17Z http://umpir.ump.edu.my/id/eprint/24540/ Data-driven neuroendocrine-pid tuning based on safe experimentation dynamics for control of TITO coupled tank system with stochastic input delay Mohd Riduwan, Ghazali Mohd Ashraf, Ahmad Raja Mohd Taufika, Raja Ismail TK Electrical engineering. Electronics Nuclear engineering This paper addresses a data-driven neuroendocrine-PID tuning for the control of a two-input-two-output (TITO) coupled tank system with sto-chastic input time delay based on safe experimentation dynamics (SED). The SED algorithm is an optimization method used as data-driven tools to find the optimal control parameters by using the input-output (I/O) data measurement in an actual system. The advantages of the SED based method are that provides a fast solution, able to solve the high dimensional problem and provides high performance accuracy by keeping the best parameter value while finding the control parameters. Moreover, the gain sequence of the SED is independent of the number of iterations by fixed the interval size in finding the optimal solu-tion. Hence, this will allow the SED method to have enough strength to re-tune in the attempted of finding the new optimal solution when the delay occur dur-ing the tuning process. A neuroendocrine-PID controller structure is chosen due to its provide effective and accurate control performances by a combination of PID and neuroendocrine structures. On another note, the neuroendocrine struc-ture is a biologically inspired designed that derived from general secretion rules of the hormone in the human body. In order to evaluate the performances of the data-driven neuroendocrine-PID control based on SED for TITO coupled tank system with stochastic input delays, the numerical examples will be used in terms of the performance tracking and the computational time. Moreover, the performance of the SED based method is compared to simultaneous perturba-tion stochastic approximation (SPSA) based method. The simulation results show that the SED based method capable to track the desired value of liquid level tanks although the stochastics input delay occurred in the system. In addi-tion, the SED based method also attained better control performance compared to SPSA based method. Springer, Singapore 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24540/1/64.%20Data-driven%20neuroendocrine-pid%20tuning%20based.pdf pdf en http://umpir.ump.edu.my/id/eprint/24540/2/64.1%20Data-driven%20neuroendocrine-pid%20tuning%20based.pdf Mohd Riduwan, Ghazali and Mohd Ashraf, Ahmad and Raja Mohd Taufika, Raja Ismail (2019) Data-driven neuroendocrine-pid tuning based on safe experimentation dynamics for control of TITO coupled tank system with stochastic input delay. In: The 6th International Conference On Robot Intelligence Technology And Applications (RITA2018), 16 - 18 Disember 2018 , Pullman Lakeside Hotel, Putrajaya. pp. 1-11., 1015. ISBN 978-981-13-7779-2 (Print); 978-981-13-7780-8 (Online) https://doi.org/10.1007/978-981-13-7780-8_1
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Mohd Riduwan, Ghazali Mohd Ashraf, Ahmad Raja Mohd Taufika, Raja Ismail Data-driven neuroendocrine-pid tuning based on safe experimentation dynamics for control of TITO coupled tank system with stochastic input delay
description	This paper addresses a data-driven neuroendocrine-PID tuning for the control of a two-input-two-output (TITO) coupled tank system with sto-chastic input time delay based on safe experimentation dynamics (SED). The SED algorithm is an optimization method used as data-driven tools to find the optimal control parameters by using the input-output (I/O) data measurement in an actual system. The advantages of the SED based method are that provides a fast solution, able to solve the high dimensional problem and provides high performance accuracy by keeping the best parameter value while finding the control parameters. Moreover, the gain sequence of the SED is independent of the number of iterations by fixed the interval size in finding the optimal solu-tion. Hence, this will allow the SED method to have enough strength to re-tune in the attempted of finding the new optimal solution when the delay occur dur-ing the tuning process. A neuroendocrine-PID controller structure is chosen due to its provide effective and accurate control performances by a combination of PID and neuroendocrine structures. On another note, the neuroendocrine struc-ture is a biologically inspired designed that derived from general secretion rules of the hormone in the human body. In order to evaluate the performances of the data-driven neuroendocrine-PID control based on SED for TITO coupled tank system with stochastic input delays, the numerical examples will be used in terms of the performance tracking and the computational time. Moreover, the performance of the SED based method is compared to simultaneous perturba-tion stochastic approximation (SPSA) based method. The simulation results show that the SED based method capable to track the desired value of liquid level tanks although the stochastics input delay occurred in the system. In addi-tion, the SED based method also attained better control performance compared to SPSA based method.
format	Conference or Workshop Item
author	Mohd Riduwan, Ghazali Mohd Ashraf, Ahmad Raja Mohd Taufika, Raja Ismail
author_facet	Mohd Riduwan, Ghazali Mohd Ashraf, Ahmad Raja Mohd Taufika, Raja Ismail
author_sort	Mohd Riduwan, Ghazali
title	Data-driven neuroendocrine-pid tuning based on safe experimentation dynamics for control of TITO coupled tank system with stochastic input delay
title_short	Data-driven neuroendocrine-pid tuning based on safe experimentation dynamics for control of TITO coupled tank system with stochastic input delay
title_full	Data-driven neuroendocrine-pid tuning based on safe experimentation dynamics for control of TITO coupled tank system with stochastic input delay
title_fullStr	Data-driven neuroendocrine-pid tuning based on safe experimentation dynamics for control of TITO coupled tank system with stochastic input delay
title_full_unstemmed	Data-driven neuroendocrine-pid tuning based on safe experimentation dynamics for control of TITO coupled tank system with stochastic input delay
title_sort	data-driven neuroendocrine-pid tuning based on safe experimentation dynamics for control of tito coupled tank system with stochastic input delay
publisher	Springer, Singapore
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/24540/ http://umpir.ump.edu.my/id/eprint/24540/ http://umpir.ump.edu.my/id/eprint/24540/1/64.%20Data-driven%20neuroendocrine-pid%20tuning%20based.pdf http://umpir.ump.edu.my/id/eprint/24540/2/64.1%20Data-driven%20neuroendocrine-pid%20tuning%20based.pdf
first_indexed	2023-09-18T22:37:12Z
last_indexed	2023-09-18T22:37:12Z
_version_	1777416674660581376

Data-driven neuroendocrine-pid tuning based on safe experimentation dynamics for control of TITO coupled tank system with stochastic input delay

Similar Items