000			03075nmm a2200313 a 4500
001			vtls000098376
003			KUKTEM
005			20251117113326.0
008			161209s2016 my fq d 001 0 eng d
020			_aTHE0005069(Local)
039		9	_a201905101521 _bhanafiah _c201712131641 _dfateeha _y201612091529 _zsaini
040			_aUMP
090			_aFKP .S28 2016 r Bc.
090			_aCD 10396
100	0		_aSathis Vatumalai
245	1	0	_aArduino based solar tracking system _h[electronic resource] / _cSathis A/L Vatumalai
260			_aKuantan, Pahang : _bUMP, _c2016
300			_a1 computer disc : _bdigital data ; _c12 cm.
500			_aFaculty of Manufacturing Engineering
500			_aTheses Gred A
502			_aProject Paper (Bachelor of Mechatronics Engineering (Hons.)) -- Universiti Malaysia Pahang – 2016
520	3		_aThis thesis proposes the dual axis solar tracker for optimum solar cell implementation using dc-dc boost converter controlled by fuzzy logic controller with the maximum power point tracking (MPPT) method. The objectives of this project are to track and optimize the maximum output power of the solar panel by designing and implementing the fuzzy logic controller using microcontroller as well as to regulate the output voltage of the solar panel using dc-dc boost converter. The system includes a solar panel, DC-DC boost converter, the fuzzy logic controller implemented on Arduino Uno for controlling on/off time of MOSFET of the boost converter, voltage divider and optocoupler circuit as a driver for MOSFET. Tracking and detecting the angle of the sun to locate the surface plate of solar cell at the position and the angle where it can get maximum amount of energy. The solar panel must have sensors that can detect the position of the sun and dc motors act as free moving neck to make it easier to move freely depending on the angle detected. The light dependent resistor (LDR) will be used as sun tracking. The photocell panel will detect the existing of sun and the surface plate of photocell panel will move horizontal and vertical axis depending on the value of LDR detected to follow the angular degree of sun in order to get maximum and best result of absorbing energy. Moreover, this project presents a fuzzy logic real time code in Arduino language for ATmega328 microcontroller at Arduino Uno board. The result obtained from the Arduino coding is the variation of duty cycle of PWM signal according to the voltage of solar panel. The final result obtained from dc-dc boost converter showed that the output voltage has been regulated. Overall, the designed system increases the efficiency of the solar panel based on experimental results
538			_aItem in pdf format
610	2	0	_aFaculty of Manufacturing Engineering _xDissertations
650		0	_aUniversities and Colleges _xDissertations
650		0	_aTheses
856	4	0	_uhttp://ecollib.ump.edu.my/id/eprint/3949 _zAccess in library only
999			_aVIRTUA40 _c6763 _d6769
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