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Herlambang Setiadi
Queensland University
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Modifikasi Desain PID Controller Pada Permanent Magnet Synchronous Motor Dengan Flower Pollination Algorithm Muhammad Ruswandi Djalal; Machrus Ali; Andi Imran; Herlambang Setiadi
Jurnal Teknik Elektro Vol 6, No 2 (2017): Jurnal Teknik Elektro
Publisher : Situs resmi ITP Press

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Abstract

The use of PID (Proportional-Integral-Derivative) controllers on a synchronous motor is very widely used, because of its simple, robust structure that is robust and easy to use. The use of PID controllers requires proper parameter setting for optimal performance on the motor. The most commonly used solution is the trial-error method, to determine the proper parameters for PID, but the results do not make the PID controller optimal. Lately there has been a lot of research to optimize PID controller, wrong with smart method. For this purpose, we will use Flower Pollination Algorithm (FPA) optimization method to optimize and determine the exact parameters of PID. FPA is one method that is being adapted from the process of plant pollination, so this concept is adapted and applied to be. From the results that have the FPA method can be well tuned parameters PID, so that the resulting overshoot faster and settling time is very fast. Optimization results Kp 0.9441, Ki 0.9311, Kd 0.0840. In this study will discuss uncontrolled motors, with PID trial-error controller, PID-PSO and PID-FPA.Keywords: Sync motor, PID, Trial-Error, PSO, FPA, Overshoot, Settling time
FLOWER POLLINATION ALGORITHM UNTUK OPTIMASI PENGENDALI PID PADA PENGENDALIAN KECEPATAN MOTOR INDUKSI Muhammad Ruswandi Djalal; Muhammad Yusuf Yunus; Andi Imran; Herlambang Setiadi
Jetri : Jurnal Ilmiah Teknik Elektro Jetri Volume 15, Nomor 1, Agustus 2017
Publisher : Website

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1090.719 KB) | DOI: 10.25105/jetri.v15i1.1832

Abstract

AbstractThe use of Proportional Integral Derivative (PID) controller in induction motors is becoming more and more popular, because of its simple structure. PID controller requires proper parameter setting for optimal performance on the induction motor. The most commonly used method is by trial and error  to determine parameters of the PID controller, but the results obtained are not optimal and incorrect PID controller’s parameters will damage the system. For that reason, in this research it will be shown one of PID parameters tuning method by using Flower Pollination Algorithm (FPA) to optimize and determine the exact parameters of the PID. FPA is a method that is being adapted and applied as a smart algorithm to solve optimization problem. The PID parameters tuning in this study  gives results that the value of kp, ki and kd are  0.4213, 0.2337 and 0.027 respectively. As a comparison, this study has also used Firefly, Cuckoo Search, Particle Swarm, Imperialist Competitive, Ant Colony, Differential Evolution, and Bat method. The FPA method can well tune the PID parameters, so that the resulting overshoot is very small in comparison with the other methods, it is  at 1,019 from the set point.  Compared with other methods, the settling time is also very fast, that is  0.3second. Keywords: PID, FPA, Bee-Colony, Cuckoo, Firefly ABSTRAKPenggunaan pengendali Proportional Integral Derivative (PID) pada motor induksi menjadi semakin populer, karena strukturnya yang sederhana. Pengendali PID memerlukan pengaturan parameter yang tepat untuk kinerja optimal pada motor induksi. Metode yang paling umum digunakan adalah dengan metode trial and  error untuk menentukan parameter pengendali PID, namun hasil yang didapat tidak optimal dan parameter pengendali PID yang tidak tepat akan merusak sistem. Oleh karena itu, dalam penelitian ini, diperlihatkan  salah satu metode penalaan parameter PID dengan menggunakan metode Flower Pollination Algorithm (FPA) untuk mengoptimalkan dan menentukan parameter PID yang tepat. FPA adalah salah satu metode yang diadaptasi dan diterapkan sebagai algoritma cerdas untuk mengatasi masalah optimasi. Hasil penalaan yang diperoleh adalah nilai kp,   k i, dan kd masing-masing  sebesar  0,4213, 0,2337, dan 0,0274. Sebagai perbandingan, penelitian ini juga menggunakan metode Firefly, Cuckoo Search, Particle Swarm, Imperialist Competitive, Ant Colony, Diferential Evolution, dan metode Bat. Metode FPA dapat menala parameter PID  sehingga overshoot yang dihasilkan sangat kecil dibandingkan dengan metode lainnya yaitu sebesar1,019 terhadap  set point. Waktu settling yang diperoleh juga sangat cepat dibandingkan dengan metode lainnya. yaitu 0,3 detik. Kata kunci: PID, FPA, Bee-Colony, Cuckoo, Firefly
Co-Authors Andi Imran Machrus Ali Muhammad Ruswandi Djalal Muhammad Yusuf Yunus