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

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 approxi...

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Main Authors: Mohd Ashraf, Ahmad, Low, Kok Hin, Ahmad Nor Kasruddin, Nasir, Mohd Zaidi, Mohd Tumari, Raja Mohd Taufika, Raja Ismail, Zuwairie, Ibrahim
Format: Conference or Workshop Item
Language:English
Published: 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/21400/1/Using%20normalized%20simultaneous%20perturbation%20stochastic%20approximation.pdf
http://umpir.ump.edu.my/id/eprint/21400/
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spelling my.ump.umpir.214002018-06-29T03:49:39Z http://umpir.ump.edu.my/id/eprint/21400/ Using normalized simultaneous perturbation stochastic approximation for stable convergence in model-free control scheme Mohd Ashraf, Ahmad Low, Kok Hin Ahmad Nor Kasruddin, Nasir Mohd Zaidi, Mohd Tumari Raja Mohd Taufika, Raja Ismail Zuwairie, Ibrahim TK Electrical engineering. Electronics Nuclear engineering 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. 2018 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21400/1/Using%20normalized%20simultaneous%20perturbation%20stochastic%20approximation.pdf 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)
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohd Ashraf, Ahmad
Low, Kok Hin
Ahmad Nor Kasruddin, Nasir
Mohd Zaidi, Mohd Tumari
Raja Mohd Taufika, Raja Ismail
Zuwairie, Ibrahim
Using normalized simultaneous perturbation stochastic approximation for stable convergence in model-free control scheme
description 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.
format Conference or Workshop Item
author Mohd Ashraf, Ahmad
Low, Kok Hin
Ahmad Nor Kasruddin, Nasir
Mohd Zaidi, Mohd Tumari
Raja Mohd Taufika, Raja Ismail
Zuwairie, Ibrahim
author_facet Mohd Ashraf, Ahmad
Low, Kok Hin
Ahmad Nor Kasruddin, Nasir
Mohd Zaidi, Mohd Tumari
Raja Mohd Taufika, Raja Ismail
Zuwairie, Ibrahim
author_sort Mohd Ashraf, Ahmad
title Using normalized simultaneous perturbation stochastic approximation for stable convergence in model-free control scheme
title_short Using normalized simultaneous perturbation stochastic approximation for stable convergence in model-free control scheme
title_full Using normalized simultaneous perturbation stochastic approximation for stable convergence in model-free control scheme
title_fullStr Using normalized simultaneous perturbation stochastic approximation for stable convergence in model-free control scheme
title_full_unstemmed Using normalized simultaneous perturbation stochastic approximation for stable convergence in model-free control scheme
title_sort using normalized simultaneous perturbation stochastic approximation for stable convergence in model-free control scheme
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/21400/1/Using%20normalized%20simultaneous%20perturbation%20stochastic%20approximation.pdf
http://umpir.ump.edu.my/id/eprint/21400/
_version_ 1643669119833210880
score 13.211869

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