| 000 | 02121nam a2200241 a 4500 | ||
|---|---|---|---|
| 001 | vtls000038362 | ||
| 003 | KUKTEM | ||
| 005 | 20251114204357.0 | ||
| 008 | 090619t2008 my a f m 000 0 eng d | ||
| 020 | _aTHE0006741(Local) | ||
| 039 | 9 |
_a201905280943 _bamirul _c201112051256 _dFida _c201107132157 _dVLOAD _c200908141635 _dVLOAD _y200906191628 _zkam |
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| 040 | _aUMP | ||
| 090 | _aTK2681 .N39 2008 rs Bc. | ||
| 100 | 0 | _aNorazlina Ab. Rahman | |
| 245 | 1 | 0 |
_aNeural network controller for DC motor using MATLAB application / _cNorazlina Ab. Rahman |
| 260 |
_aKuantan, Pahang : _bUMP, _c2008 |
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| 300 |
_a66 p. : _bill. (some col.) ; _c30 cm. + _e1 computer disc |
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| 502 | _aProject paper (Bachelor of Electrical Engineering (Power system)) -- Universiti Malaysia Pahang - 2008 | ||
| 520 | 3 | _aThe purpose of this study is to control the speed of direct current (DC) motor with Artificial Neural Network (ANN) controller using MATLAB application. The Artificial Neural Network Controller will be design and must be tune, so the comparison between simulation result and experimental result can be made. The scopes includes the simulation and modeling of direct current (DC) motor, implementation of Artificial Neural Network Controller into actual DC motor and comparison of MATLAB simulation result with the experimental result. This research was about introducing the new ability of in estimating speed and controlling the permanent magnet direct current (PMDC) motor. In this project, ANN Controller will be used to control the speed of DC motor. The ANN Controller will be programmed to control the speed of DC motor at certain speed level. The data from ANN Controller is sent to the DC motor through an interface circuit or a medium called DAQ card. The sensor will be used to detect the speed of motor. Then, the result from sensor is fed back to ANN Controller to find the comparison between the desired output and measured output. | |
| 650 | 0 | _aNeural networks (Computer science) | |
| 650 | 0 | _aElectric currents, Direct | |
| 999 |
_aVIRTUA40 _c964 _d970 |
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| 999 | _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5200*6500*6501*9992 | ||