Parameter Estimation of Damped Compound Pendulum Differential Evolution Algorithm

Autor: Saad Mohd Sazli, Shayfull Z., Nasir S.M., Fathullah M.
Jazyk: English<br />French
Rok vydání: 2016
Předmět:
Zdroj: MATEC Web of Conferences, Vol 78, p 01117 (2016)
Druh dokumentu: article
ISSN: 2261-236X
DOI: 10.1051/matecconf/20167801117
Popis: This paper present the parameter identification of damped compound pendulum using differential evolution algorithm. The procedure used to achieve the parameter identification of the experimental system consisted of input output data collection, ARX model order selection and parameter estimation using conventional method least square (LS) and differential evolution (DE) algorithm. PRBS signal is used to be input signal to regulate the motor speed. Whereas, the output signal is taken from position sensor. Both, input and output data is used to estimate the parameter of the ARX model. The residual error between the actual and predicted output responses of the models is validated using mean squares error (MSE). Analysis showed that, MSE value for LS is 0.0026 and MSE value for DE is 3.6601×10-5. Based results obtained, it was found that DE have lower MSE than the LS method.
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