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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2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/21400/ http://umpir.ump.edu.my/id/eprint/21400/1/Using%20normalized%20simultaneous%20perturbation%20stochastic%20approximation.pdf |
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ump-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) |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| 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/ http://umpir.ump.edu.my/id/eprint/21400/1/Using%20normalized%20simultaneous%20perturbation%20stochastic%20approximation.pdf |
| first_indexed |
2023-09-18T22:31:22Z |
| last_indexed |
2023-09-18T22:31:22Z |
| _version_ |
1777416308303855616 |