Optimasi menggunakan algoritma genetik pada pengendali P-I-D berbasis H2-H.0 0 untuk pengendalian kecepatan motor DC yang mempunyai ketidakpastian parameter dan mengalami gangguan
Genetic algorithm usually is used to find a global minimum of a complex performance surface. If a control system is operated for a long time it will face two important issues namely parameter uncertainties and disturbances. Therefore a controller is designed by considering those two issues. In this...
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| Format: | Article NonPeerReviewed |
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[Yogyakarta] : Universitas Gadjah Mada
2001
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| Online Access: | https://repository.ugm.ac.id/18476/ http://i-lib.ugm.ac.id/jurnal/download.php?dataId=1265 |
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| Institution: | Universitas Gadjah Mada |
| Summary: | Genetic algorithm usually is used to find a global minimum of a complex performance surface. If a control system is operated for a long time it will face two important issues namely parameter uncertainties and disturbances. Therefore a controller is designed by considering those two issues. In this paper a PID controller is designed to control speed of a DC motor which has a moment of inertia uncertainty and is contaminated by disturbances. The obyectives of this controller are to minimize the tracking error , maintain stability of the system despite the parameter uncertainty, attenuate disturbances. Tracking error is minimized by tuning the three parameters of the controller using genetic algorithm. 112 norm is used in tracking performance. Moreover H,,,, norm is used in stability robustness and disturbance attenuation. The result is that the robust performance can be achieved inspite of parameter uncertainty and disturbances. The optimized controller can be found at the 38m generation using genetic algorithm. |
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