| Autor: |
Saad, Mohd Sazli, Ros, Noor Fadhilah Mat, Zakaria, Mohd Zakimi, Baharudin, Mohamad Ezral, Nor, Azuwir Mohd, Rahim, Shayfull Zamree Abd, Saad, Mohd Nasir Mat, Abdullah, Mohd Mustafa Al Bakri, Tahir, Muhammad Faheem Mohd, Mortar, Nurul Aida Mohd |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2020, Vol. 2339 Issue 1, p1-7, 7p |
| Abstrakt: |
This paper describes the development of dynamic model of flexible beam system using system identification method based on nature inspired algorithm i.e. bat algorithm. At first, input-output data from the experimental rig of flexible beam were collected such that input signal is taken from piezo actuator and output signal from the laser displacement sensor. Then, linear parametric model structure is accomplished using auto regressive with exogenous inputs (ARX). The optimal parameters of the ARX model are identified using bat algorithm. The best parameter setting estimation is selected based on the best fit criterion i.e mean square error (MSE). The identified model is compared with the model from conventional estimation approach. Simulation results show that bat algorithm can outperform the least square algorithm in parametric modelling of the flexible beam. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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