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PENGATURAN KECEPATAN MOTOR INDUKSI TIGA FASA DENGAN TEKNIK ARTIFICIAL INTELEGENT BERBASIS VEKTOR KONTROL

Muh. Ali Anang Lubis, ali and Ir. Gigih Prabowo, MT, gigih and Arman Jaya, ST. MT, arman and Era Purwanto, M.Eng, era (2011) PENGATURAN KECEPATAN MOTOR INDUKSI TIGA FASA DENGAN TEKNIK ARTIFICIAL INTELEGENT BERBASIS VEKTOR KONTROL. EEPIS FINAL PROJECT.

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    Abstract

    ABSTRACT Three phase induction motor has a weakness in controlling the speed which depends only on the input frequency, but this can be reduce with inverter technology. Torque setting on an induction motor with low ripple and transient response form and good steady state is the main criteria of this controller design. First, using a PI controller to obtain these parameters, but with certain conditions. Gain can’t be increased outside the limit, so needed more better response. With the Artificial Intelligent techniques, this deficiency can be reduced. Once technique is using fuzzy logic in design of the controller or with PI controller. Elements of Fuzzy and PI controller for each of the overall aim to solve problems that happen, such as during start motor, no load and load conition. This method using the input of voltage and current on the close loop for calculating the rotor parameters. Controller in this method is designed for speed control which used in vector control for dynamic induction motor analysis. The final result which obtained from the model of fuzzy logic controllers and PI controllers are compared. It’s expected that with fuzzy logic and PI controller can improve and reduce the ripple in motor torque and stator currents. It’s also can simplfy the restrictions on the magnitude of the torque and current values in a specific range on some kind of disturbance. Keywords: PI - Fuzzy controller, Inverter, Induction Motor, Vector Control, Intelligent Artifical

    Item Type: Article
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Q Science > QA Mathematics > QA76 Computer software
    Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
    Depositing User: ali muh. ali anang lubis anang lubis
    Date Deposited: 14 Feb 2012 10:07
    Last Modified: 14 Feb 2012 10:07
    URI: http://repo.pens.ac.id/id/eprint/1207

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