Using normalized simultaneous perturbation stochastic approximation for stable convergence in model-free control scheme

Mohd Ashraf, Ahmad and Low, Kok Hin and Ahmad Nor Kasruddin, Nasir and Mohd Zaidi, Mohd Tumari and Raja Mohd Taufika, Raja Ismail and Zuwairie, Ibrahim (2018) Using normalized simultaneous perturbation stochastic approximation for stable convergence in model-free control scheme. In: 4th IEEE International Conference on Applied System Innovation , 13-17 April 2018 , Chiba, Tokyo. pp. 1-4.. (Unpublished)

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Abstract

This paper presents a normalized SPSA for stable convergence in model-free control scheme. Initially, an unstable convergence of conventional SPSA is illustrated, which motivate us to introduce its improved version. Here, the conventional SPSA is modified by introducing a normalized gradient approximation to update the design variable. To be more specific, each measurement of the objective function from the perturbations is normalized to the maximum objective function measurement at the current iteration. As a result, this improvement is expected to avoid the updated control parameter from producing an unstable control performance. The effectiveness of the normalized SPSA is tested to model-free PID control scheme of liquid slosh system. The simulation results are presented in terms of the convergence responses and control performances. The outcome of this paper shows that the model-free controller tuning using the normalized SPSA is able to provide stable and better control performances as compared to the existing modified SPSA.

Item Type:	Conference or Workshop Item (Lecture)
Uncontrolled Keywords:	Stable convergence; Stochastic approximation; Model-free controller
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical & Electronic Engineering
Depositing User:	Mrs. Neng Sury Sulaiman
Date Deposited:	29 Jun 2018 03:49
Last Modified:	29 Jun 2018 03:49
URI:	http://umpir.ump.edu.my/id/eprint/21400
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