PERANCANGAN SLIDING MODE CONTROLLER DENGAN OPTIMASI PID SLIDING SURFACE BERBASIS ALGORITMA GENETIKA PADA BRUSHLESS DC MOTOR
| Main Author: | Putra, Een Hutama |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2018
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| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/42939/1/PENDAHULUAN.pdf http://eprints.umm.ac.id/42939/2/BAB%20I.pdf http://eprints.umm.ac.id/42939/3/BAB%20II.pdf http://eprints.umm.ac.id/42939/4/BAB%20III.pdf http://eprints.umm.ac.id/42939/5/BAB%20IV.pdf http://eprints.umm.ac.id/42939/6/BAB%20V.pdf http://eprints.umm.ac.id/42939/ |
Daftar Isi:
- This study discusses about a controller that have ability to improve the efficiency of brushless DC motor (BLDC) when operate. Sliding mode controller (SMC) with proportional-integral-derivative (PID) sliding surface based from genetic algorithm optimization is adopted to control the speed of the motor. This method is choosen to make sure the motor can maintain the stability under the disturbance and nonlinierity factor. Beside that, with PID sliding surface, the system will have better transients response. Chattering problem in SMC will minimize by Luenberger Observer adaptive switching gain system so that the chattering will adjust according to the disturbance value. Lyapunov Law is applied to ensure stability of the system. The controller also will compare with conventional PID controller to observe the significant improvement.