Citation

Muhammad, Badaruddin and Pebrianti, Dwi and Ghani, Normaniha and Abdul Aziz, Nor Hidayati and Ab Aziz, Nor Azlina and Mohamad, Mohd Saberi and Shapiai, Mohd Ibrahim and Ibrahim, Zuwairie (2018) An application of simulated Kalman filter optimization algorithm for parameter tuning in proportional-integral-derivative controllers for automatic voltage regulator system. In: 2018 SICE International Symposium on Control Systems (SICE ISCS), 9-11 March 2018, Tokyo, Japan.

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Abstract

This paper reports the first attempt to tune gain values in proportional-integral-derivative (PID) controllers using an optimizer called simulated Kalman filter (SKF) algorithm. Compared to another well-established optimizer, such as particle swarm optimization (PSO), the SKF algorithm is a relatively new optimizer and most importantly, the SKF algorithm has not been applied to parameter tuning of PID controller. A finding based on automatic voltage regulator system suggests that the SKF algorithm has promising potentials to be a good tuning method in PID controller.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Optimization, PID controller, simulated Kalman filter.
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA630-695 Structural engineering (General)
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	27 Mar 2021 17:36
Last Modified:	21 Dec 2022 06:30
URII:	http://shdl.mmu.edu.my/id/eprint/7541

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