A data-driven sigmoid-based secretion rate of neuroendocrine- pidcontrol for TRMS system

Mohd Riduwan, Ghazali and Mohd Ashraf, Ahmad and Haszuraidah, Ishak (2021) A data-driven sigmoid-based secretion rate of neuroendocrine- pidcontrol for TRMS system. In: ISCAIE 2021 - IEEE 11th Symposium on Computer Applications and Industrial Electronics. 11th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2021 , 3 - 4 April 2021 , Penang. pp. 1-6. (9431795). ISBN 978-166540338-2 (Published)

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Abstract

This paper investigated the implementation of data-driven sigmoid-based secretion rate of neuroendocrine-PID (SbSR-NEPID) within a twin-rotor MIMO system (TRMS), based on the adaptive safe experimentation dynamics (ASED) algorithm. In essence, SbSR-NEPID is developed as a human body-inspired mechanism that promotes accurate and efficient controller structure. The ASED approach was then employed for parameter tuning of the proposed controller, following its role as the data-driven control scheme that tracks error and input control performances. Fundamentally, such a game-theoretic approach would seek optimal parameters through random perturbations of several elements from its controller's parameters. Its application in tracking both performance and computational interval has also gained vast explorations above statistical ground. As such, results obtained from the simulation has demonstrated data-driven SbSR-NEPID control based on the ASED method as a capable approach in tracking the assigned trajectory missions, while yielding exceptional control accuracy beyond the requirement of theoretical assumptions on the plant dynamics.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Control system; Data-driven control; Neuroendocrine-PID; Optimization; TRMS
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	30 Oct 2024 04:34
Last Modified:	30 Oct 2024 04:34
URI:	http://umpir.ump.edu.my/id/eprint/42361
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