Mixed Unscented Kalman Filter and differential evolution for parameter identification

Legowo, Ari and Mohamad, Zahratu H. and Park, HoonCheol (2013) Mixed Unscented Kalman Filter and differential evolution for parameter identification. Applied Mechanics and Materials, 256 (1). pp. 2347-2353. ISSN 1660-9336

PDF (Mixed Unscented Kalman Filter and differential evolution for parameter identification) - Published Version Restricted to Repository staff only until 6 January 2017. Download (325kB) | Request a copy

Abstract

This paper presents parameters estimation techniques for coupled industrial tanks using the mixed Unscented Kalman Filter (UKF) and Differential Evolution (DE) method. UKF have known to be a typical estimation technique used to estimate the state vectors and parameters of nonlinear dynamical systems and DE is one of the most powerful stochastic real-parameter optimization algorithms. Meanwhile, liquid tank systems play important role in industrial application such as in food processing, beverage, dairy, filtration, effluent treatment, pharmaceutical industry, water purification system, industrial chemical processing and spray coating. The aim is to model the coupled tank system using mixed UKF and DE method to estimate the parameters of the tank. First, a non-linear mathematical model is developed. Next, its parameters are identified using mixed Unscented Kalman Filter (UKF) and Differential Evolution (DE) based on the experimental data. DE algorithm is integrated into the UKF algorithm to optimize the Kalman gain obtained. The obtained results demonstrate good performances.

Item Type:	Article (Journal)
Additional Information:	5334/27209
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering
Depositing User:	Dr Ari Legowo
Date Deposited:	02 Aug 2013 08:50
Last Modified:	02 Aug 2013 08:53
URI:	http://irep.iium.edu.my/id/eprint/27209

Actions (login required)

View Item