Data-driven PID tuning for liquid slosh-free motion using memory-based SPSA algorithm

Mohd Ashraf, Ahmad and Nik Mohd Zaitul, Akmal Mustapha and Mohd Zaidi, Mohd Tumari and Mohd Helmi, Suid and Raja Mohd Taufika, Raja Ismail and Mohd Ashraf, Ahmad (2018) Data-driven PID tuning for liquid slosh-free motion using memory-based SPSA algorithm. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018. Lecture Notes in Electrical Engineering . Springer Singapore, Singapore, pp. 197-210. ISBN 978-981-13-3708-6

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Abstract

This study proposes a data-driven PID tuning for liquid slosh suppression based on enhanced stochastic approximation. In particular, a new version of Simultaneous Perturbation Stochastic Approximation (SPSA) based on memory type function is introduced. Tis memory-based SPSA (M-SPSA) algorithm has a capability to obtain better optimization accuracy than the conventional SPSA, since it is able to keep the best design parameter during the tuning process. The effectiveness of this algorithm is tested to data-drive PID tuning for liquid slosh problem. The achievement of the M-SPSA based algorithm is assessed in terms of trajectory tracking of trolley position, slosh angle reduction and also computation time. The outcome of this study shows that the PID-tuned M-SPSA is able to provide better control performance accuracy than the other variant of SPSA based method.

Item Type: Book Chapter
Additional Information: Indexed by Springer
Uncontrolled Keywords: Data-driven control; PID controller; Stochastic approximation
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 01 Jan 2019 10:23
Last Modified: 21 May 2019 04:05
URI: http://umpir.ump.edu.my/id/eprint/22979
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