Kontrol Kecepatan Putaran Permanent Magnet Synchronous Machine (PMSM) Menggunakan PID, FLC Dan ANFIS

Ali, Machrus; Muhlasin, Muhlasin

doi:10.30736/je.v4i1.302

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…Berdasarkan hal ini, penelitian yang dilakukan mencoba untuk menerapkan kontroler Adaptive Neuro-Fuzzy Inference System (ANFIS), pemilihan kontroler ANFIS pada penelitian ini karena hasil respon yang optimal pada proses kontrol [4], [5].…”

Section: Pendahuluanunclassified

Penerapan Kontroler ANFIS untuk Load Frequency Control

Dewanto,

Bachtiar,

Setiawan

et al. 2023

bees

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Load Frequency Control (LFC) is a system that works as a unit with the boiler-turbine-generator system which functions to maintain a frequency of 50 HZ by giving control to the governor system at the power plant when the peak load position results in a decrease in frequency, later LFC instructs the turbine governor to open a valve to drain the steam generated from the boiler system. In this study, we compared the performance of two controllers on LFC, namely PID and ANFIS through Matlab simulations. The simulation results show that the Setlling Time of the ANFIS Mamounia control is 76% faster than the PID control. ANFIS control can respond to changes in load to steady state frequency conditions with an error of 0.6% which is more effective than the PID control.

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Section: Pendahuluanunclassified

Penerapan Kontroler ANFIS untuk Load Frequency Control

Dewanto,

Bachtiar,

Setiawan

et al. 2023

bees

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“…Komponen PID terdiri dari 3 jenis konstanta, yaitu Proportional, Integratif, dan Derivatif. Ketiga konstanta dapat dipakai bersamaan maupun sendiri-sendiri, tergantung dari respon yang kita inginkan terhadap suatu plant [16].…”

Section: Pid Kontrollerunclassified

Optimasi Kontroler Putaran Motor Permanent Magnet Syschronous Machine (PMSM) menggunakan PSO-ANFIS (Studi Kasus di Perumdam Tirta Kencana)

Ibrahim¹,

Ramadhan²,

Rukslin³

et al. 2021

elsains

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PMSM menggunakan prinsip percobaan faraday dengan memutar magnet dalam koil dengan memanfaatkan sumber energi lain. Ketika magnet bergerak dalam koil atau sebaliknya. Rotasi mesin akan mengubah fluks gaya magnet pada kumparan dan menembus secara tegak lurus ke kumparan sehingga timbul perbedaan potensial antara ujung-ujung kumparan. Itu disebabkan oleh perubahan fluks magnet. Untuk mendapatkan metode kontrol terbaik, diperlukan beberapa model kontrol kecepatan. Dalam penelitian ini membandingkan kontrol kecepatan PMSM tanpa pengontrol, PID Kontrol, PID-PSO, dan hibrid PID-PSO-ANFIS. Hasil simulasi menunjukkan bahwa model terbaik pada pengontrol PID-PSO-ANFIS yang paling dekat dengan Speed Reff (2980 rpm) adalah bahwa ANFIS memperoleh profil rotasi dengan undershot terkecil, kondisi mantap tercepat, profil arus keluaran terbaik, profil torsi terbaik , dan profil tegangan terbaik. Hasil penelitian ini akan diikuti oleh penggunaan kecerdasan buatan lainnya

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“…Intelligent control based on Artificial Intelligence has been developed a lot to improve the control system. Many control systems have been used; including conventional control systems, PID controls, Fuzzy controls, Adaptive Neuro-Fuzzy Inference Systems (ANFIS), and other types of controllers [7] [8]. PID controllers with artificial intelligence tuning have been used in Imperialist Competitive Algorithm (ICA), Particle Swarm Optimization (PSO) Method, Firefly Algorithm (FA) Method, Imperialist Competitive Algorithm (ICA) Method, Ant Colony Optimization (ACO) Method, and Bat Algorithm (BA).…”

Section: Introductionmentioning

confidence: 99%

PID Controller Design for Heating Furnace Temperature Based on Bat Algorithm (BA)

Budiman

Ali²

2023

JEEMECS

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A furnace is a tool for heating materials, oil, and others. Furnaces use gas, coal, and oil as fuel. Temperature is the main parameter that needs to be controlled to remain stable, and precise and improve fuel efficiency. As technology develops, several methods can be used to control temperatures that are more reliable than conventional controls. The technology is a Proportional Integral Derivative (PID) controller. PID controllers have been proven and widely used in the industry, but determining the gain of the PID value is still not accurate. This can affect temperature stability, and slow response to reach the desired set point. Therefore, it is necessary to optimize the control system. Optimizing by looking for a better PID gain value with the artificial intelligence tuning method. The Artificial Intelligence method is Bat Algorithm(BA). The simulation results and discussion show that the best design is PID-BA with an overshoot of 0.0429, non undershoot, and the fastest settling time of 16.9 seconds

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Kontrol Kecepatan Putaran Permanent Magnet Synchronous Machine (PMSM) Menggunakan PID, FLC Dan ANFIS

Cited by 3 publications

References 4 publications

Penerapan Kontroler ANFIS untuk Load Frequency Control

Penerapan Kontroler ANFIS untuk Load Frequency Control

Optimasi Kontroler Putaran Motor Permanent Magnet Syschronous Machine (PMSM) menggunakan PSO-ANFIS (Studi Kasus di Perumdam Tirta Kencana)

PID Controller Design for Heating Furnace Temperature Based on Bat Algorithm (BA)

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