000			02191nam a2200277 a 4500
001			vtls000055196
003			KUKTEM
005			20251114204452.0
008			110804t2009 my a f m 000 0 eng d
020			_aTHE0006992(Local)
039		9	_a201906131409 _baida _c201108041134 _dFida _y201108041131 _zFida
040			_aUMP
090			_aTK7872.P76 N875 2009 rs Bc.
100	0		_aNur’iffah Mohamed Azmi
245	1	0	_aParameter identification of servo-pneumatic position control system utilizing least square estimate (LSE) approach / _cNur’iffah Mohamed Azmi
246	3		_aParameter identification of servo-pneumatic position control system utilizing least square estimate (LSE) approach _h[computer file]
260			_aKuantan, Pahang : _bUMP, _c2009
300			_axv, 51 p. : _bill. (some col.) ; _c30 cm.
502			_aProject paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2009
504			_aBibliography : p. 50-51
520	3		_aThis project focused on the parameter identification of Servo-Pneumatic Position Control System (SPPCS) utilizing Least Square Estimate (LSE) approach. The obtained mathematical is analyzed in terms of transient and steady-state response. Presented method is based on the transfer function estimation, these were identified in calculation of the collection of the input and output data by using the LSE method approach. The mathematical model’s parameter is estimated from the calculation. The mathematical model estimation is implemented using the MATLAB’s simulation. The output performance from both MATLAB and Visual Basic (VB) will be compared and if the result is similar and the average error, e is smaller, then the results are accepted. The result obtained is a mathematical model that will be used as parameter identification for SPPCS. In the future, this parameter identification can be used to represent the whole of SPPCS in the MATLAB’s simulation to replace the actual hardware.
650		0	_aFuzzy logic
650		0	_aProgrammable logic controllers
650		0	_aMATLAB
999			_aVIRTUA40 _c2575 _d2581
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*6502*9992