ILLYAS, ILLYAS (2008) APLIKASI I/O BOARD MF 624 : OPTIMASI SISTEM PENGATURAN KECEPATAN PUTAR MOTOR DC MENGGUNAKAN ALGORITMA GENETIK (GENETIC ALGORITHM). Other thesis, University of Muhammadiyah Malang.
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To cope with the limitation of PID controller in improving system response, the hybrid controller system is developed with its main objectives is to improve the resulted system response from the previous controller. Generally, a PID controller is combined together with a Fuzzy Logic Controller which presently known as Fuzzy-PID controller. This Final project applied the use of I/O Board MF-624 with Matlab 7.1 and specified its study in controlling a DC motor speed using Fuzzy-PID Controller which afterwards optimized further using Genetic Algorithm. The choice of using Genetic Algorithm used because it is an iterative searching method derived from natural selection mechanism used for optimization problems and able to determine an ideal solution resulting optimum parameters in order to achieve the expected system performance both in transient and steady state. The optimization process using Genetic Algorithm had decreased the system’s maximum overshoot at only 2.5 % and quickens the time needed for the system to reach its steady state up to just about 0.22 second.
|Item Type:||Thesis (Other)|
|Subjects:||T Technology > T Technology (General)|
|Divisions:||Faculty of Engineering > Department of Electrical Engineering|
|Depositing User:||Anggit Aldila|
|Date Deposited:||08 May 2012 04:20|
|Last Modified:||08 May 2012 04:20|
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