Title :
Parametric modelling of flexible plate structures using real-coded genetic algorithms
Author :
Julai, S. ; Tokhi, M.O.
Author_Institution :
Dept. of Autom. Control & Syst. Eng., Univ. of Sheffield, Sheffield, UK
Abstract :
This paper presents parametric modelling of flexible plate structures using real-coded genetic algorithms (RCGA). The global optimization technique of RCGA is utilized to obtain a dynamic model of a flexible plate structure based on one-step-ahead (OSA) prediction. The structure is subjected to three different disturbance signal types, namely random, pseudo random binary sequence (PRBS), and finite duration step. The fitness function for the RCGA optimization is the mean-squared error (MSE) between the measured and estimated outputs of the plate. The validation of the algorithm is presented in both time and frequency domains. The developed RCGA modelling approach will be used for active vibration control systems design and development in future work.
Keywords :
binary sequences; genetic algorithms; modelling; plates (structures); random sequences; active vibration control system design; dynamic model; finite duration step; fitness function; flexible plate structures; frequency domains; global optimization; mean-squared error; one-step-ahead prediction; parametric modelling; pseudo random binary sequence; real-coded genetic algorithm; time domains; Aerodynamics; Automatic control; Biological cells; Frequency domain analysis; Genetic algorithms; Infrared detectors; Mathematical model; Parametric statistics; Predictive models; System identification; Real-coded Genetic Algorithms; flexible plate structures; parametric identification;
Conference_Titel :
Control and Automation, 2009. MED '09. 17th Mediterranean Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
978-1-4244-4684-1
Electronic_ISBN :
978-1-4244-4685-8
DOI :
10.1109/MED.2009.5164676
