Desain dan Implementasi Performa Extended Kalman Filter dan Moving Horizon State Estimation untuk Kontrol Orientasi Medan Tanpa Sensor pada Motor Induksi 3 Fase

Hakim, Muhammad Lukmanul (2024) Desain dan Implementasi Performa Extended Kalman Filter dan Moving Horizon State Estimation untuk Kontrol Orientasi Medan Tanpa Sensor pada Motor Induksi 3 Fase. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Motor induksi 3 fase banyak digunakan di industri karena beberapa kelebihan seperti biaya relatif murah, mudah dalam perawatan, dan handal. Namun, motor ini memiliki karakteristik nonlinear yang meningkatkan kompleksitas dalam mengoperasikan motor ini. Selain itu, penggunaan sensor kecepatan dapat meningkatkan biaya dan membuat sistem bergantung pada kinerja sensor. Penggunaan estimator kecepatan dapat dijadikan alternatif dalam meningkatkan keandalan sistem. Pada tugas akhir ini dilakukan desain dan implementasi kontrol motor induksi tiga fase menggunakan kontrol orientasi medan dengan Extended Kalman Filter (EKF) dan Moving Horizon State Estimation (MHSE) sebagai estimator kecepatan. Hasil menunjukkan FOC dapat mengontrol motor induksi dengan rise time ±0.4 detik dan overshoot ±30 RPM. Lalu kinerja kedua estimator dievaluasi dalam hal akurasi estimasi kecepatan dan waktu komputasi. Dari percobaan yang dilakukan, MHSE menunjukkan performa lebih baik daripada EKF dengan rata rata RMSE sebesar 11.49 sedangkan EKF sebesar 94.09. Namun rata-rata waktu komputasi MHSE lebih lama yakni 64.43µs dibandingkan dengan EKF sebesar 7.79µs
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Three-phase induction motors are widely used in industries due to several advantages, such as relatively low cost, ease of maintenance, and reliability. However, these motors exhibit nonlinear characteristics that increase the complexity of operating them. Additionally, utilizing speed sensors can escalate costs and make the system dependent on sensor performance. The use of speed estimators can serve as an alternative to enhance system reliability. This final project involves the design and implementation of three-phase induction motor control using field-oriented control (FOC) with Extended Kalman Filter (EKF) and Moving Horizon State Estimation (MHSE) as speed estimators. The results indicate that FOC can control the induction motor with a rise time of ±0.4 seconds and an overshoot of ±30 RPM. Subsequently, the performance of both estimators is evaluated in terms of speed estimation accuracy and computational load. From the conducted experiments, MHSE demonstrates superior performance compared to EKF, with an average Root Mean Square Error (RMSE) of 11.49, whereas EKF has an RMSE of 94.09. However, the average computation time of MHSE is longer, namely 64.43µs, compared to EKF's 7.79µs.

Item Type: Thesis (Other)
Uncontrolled Keywords: EKF, FOC, MHSE, Three-Phase Induction Motor, Motor Induksi
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2785 Electric motors, Induction.
Divisions: Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User: Muhammad Lukmanul Hakim
Date Deposited: 31 Jan 2024 04:57
Last Modified: 31 Jan 2024 04:57
URI: http://repository.its.ac.id/id/eprint/105813

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