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001			vtls000025582
003			KUKTEM
005			20251114204343.0
008			080317t2007 my f m 000 0 eng|d
020			_aTHE0006982(Local)
039		9	_a201906131358 _baida _c201107132002 _dVLOAD _c200908141419 _dVLOAD _c200908141351 _dVLOAD _y200803171808 _zkam
040			_aUMP
090			_aTK7872.P76 M37 2007 rs Thesis
100	0		_aMarhatinie Mamat
245	1	0	_aAutomated car braking system using fuzzy logic controller / _cMarhatinie Binti Mamat
246	3		_aAutomated car braking system using fuzzy logic controller _h[electronic resource]
260			_aKuantan, Pahang : _bUMP, _c2007
300			_a65 p. : _bill. (some col.) ; _c30 cm. + _e1 computer disc
502			_aProject paper (Bachekor of Electrical Engineering (Power systems)) -- Universiti Malaysia Pahang - 2007
520	1		_aThis paper deals with a Fuzzy Logic Controller (FLC) for an automated car braking system. The response of the system will be simulated by using Fuzzy Logic Toolbox in MATLAB and PID controller. The purpose of this controller is to brake a car when the car approaches for an obstacle at a specific range. For this, the Fuzzy Logic Controller is design using the Fuzzy Logic Toolbox in MATLAB. The system uses four rules and three membership function. The two parameters such as distance and speed will be observed for both controllers and the ability to attenuate disturbance will be simulated. Output of the controller will determine the force of the car brake. Base on the simulation, it can be concluded that the response of Fuzzy Logic Controller is better than PID. However, PID controller can be used to constitute a reference for the performance of the fuzzy logic controller. -Author
650		0	_aFuzzy logic
650		0	_aAutomobiles _xBrakes
650		0	_aProgrammable logic controllers
999			_aVIRTUA40 _c574 _d580
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5200*6500*6501*6502*9992