Modelling of PT326 Hot Air Blower Trainer Kit Using PRBS Signal and Crossâ€“Correlation Technique | Zendy

M. F. Rahmat | Zendy; Keat Hoe Yeoh | Zendy; Sahnius Usman | Zendy; Adem Abdul Wahab | Zendy

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Modelling of PT326 Hot Air Blower Trainer Kit Using PRBS Signal and Crossâ€“Correlation Technique

Author(s) -

M. F. Rahmat,

Keat Hoe Yeoh,

Sahnius Usman,

Adem Abdul Wahab

Publication year - 2012

Publication title -

jurnal teknologi

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.191

H-Index - 22

eISSN - 2180-3722

pISSN - 0127-9696

DOI - 10.11113/jt.v42.749

Subject(s) - pseudorandom binary sequence , autocorrelation , pseudorandom number generator , pseudorandom noise , computer science , cross correlation , algorithm , binary number , physics , statistics , mathematics , arithmetic , telecommunications , channel (broadcasting) , spread spectrum

System identification is an experimental approach to determine the transfer function or equivalent mathematical description for the dynamic of a system component by using a suitable input signal. A pseudorandom binary sequence (PRBS) signal of 5 different maximum lengths sequence of 15, 31, 63, 127, and 255 has been used as an input signal to determine the open-loop and closed-loop model of a hot air blower system. The autocorrelation of the input signal and cross-correlation between the input and output signal is performed using the Dynamic Signal Analyzer (DSA) and MATLAB software. From the correlograms of cross-correlation and autocorrelation, the transfer function model can be determined.

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