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

• Main Authors: Mohd Ashraf, Ahmad, Nik Mohd Zaitul, Akmal Mustapha, Mohd Zaidi, Mohd Tumari, Mohd Helmi, Suid, Raja Mohd Taufika, Raja Ismail
• Format: Book Section
• Language: English; English
• Published: Springer Singapore 2018
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/22979/13/37.%20Data-driven%20PID%20tuning%20for%20liquid%20slosh-free%20motion%20using%20memory-based%20SPSA%20algorithm.pdf; http://umpir.ump.edu.my/id/eprint/22979/14/37.1%20Data-driven%20PID%20tuning%20for%20liquid%20slosh-free%20motion%20using%20memory-based%20SPSA%20algorithm.pdf; http://umpir.ump.edu.my/id/eprint/22979/; https://link.springer.com/chapter/10.1007/978-981-13-3708-6_17

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...