Adaptive Fuzzy Gain Scheduling of PI Controller for Control of the Wind Energy Conversion Systems

Bedoud, Khouloud; Ali-Rachedi, Mahieddine; Bahi, Tahar; Lakel, Rabah

doi:10.1016/j.egypro.2015.07.580

Cited by 51 publications

(25 citation statements)

References 21 publications

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“…Pada penelitian ini, tipe Sugeno diimplementasikan pada standar IEC 61499 dengan menggunakan fitur Structure Text (ST). Fungsi keanggotaan dari e dan de yang digunakan pada penelitian ini adalah tipe triangular (Gambar 4) yang dimodelkan dengan persamaan garis lurus melalui dua titik sesuai dengan (8). Selanjutnya, variabel linguistik dari e dan de terdiri dari "Negatif", "Nol", dan "Positif", dengan nilai cakupan universe [a,b].…”

Section: A Pengendali Pi-fuzi Berbasis Iec 61499unclassified

“…Uji kinerja kendali PI-Fuzi banyak diterapkan pada perangkat lunak MATLAB/Simulink dengan menggunakan beberapa jenis plant yang berbeda-beda, antara lain Automatic Generation Control (AGC) [6], grid interactive inverter [7], sistem konversi energi angin [8], Motor Brushless DC (BLDC) [9], Generator Induksi [10], dan magnet permanen motor multi-sinkron [11]. Penerapan dan pengujian pengendali PI-Fuzi pada [6], [8]- [11] merupakan penelitian yang berskala simulasi, di mana hasil dari penelitian tersebut adalah pengendali PI-Fuzi mampu menunjukkan kinerja yang lebih baik dari pengendali PI yang juga ikut diujikan pada beberapa sistem plant tersebut [6], [8]- [11]. Lain halnya pada penerapan dan pengujian pengendali PI-Fuzi pada grid interactive inverter yang memvalidasi hasil simulasi dan hasil eksperimen [7].…”

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Pengembangan Blok Fungsi Kendali PI-Fuzi pada IEC 61499

Lebukan

Wardana

Effendy

2019

Jurnal Teknik Elektro

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Automation system in the form of automatic control is needed in one or several operating units in the process industry. Several control system algorithms have been widely implemented in the process industry, one of them is PI (Proportional and Integral) controller. This PI controller has a simple structure, but the adaptive ability of the controller is still not better for the controlled process. Therefore, the development of PI controller is needed to have a better adaptive ability to the process, in order to produce the responses that are also better and more robust. This research develops PI controller by adding the Fuzzy controller algorithm or also known as PI-Fuzzy controller. The PI-Fuzzy controller in this study is applied to the IEC 61499 Programmable Logic Controller (PLC) standard and to see its performance, the PI-Fuzzy controller based on IEC 61499 is tested and validated on an industrial scale process, namely coal mill. The test was carried out for three hours in real-time on the 4DIAC-IDE software, then the response results were compared with the response results of the PI controller. The PI-Fuzzy controller function block based on IEC 61499 made in this study showed good performance in controlling industrial-scale processes. This is demonstrated in testing and validation using a coal mill, with able to achieve the working range of each parameter. The mean value of coal flow parameter is 13.584 kg/s, coal mass accumulation is 2,196 kg, coal output temperature is 83.296 0 C, coal moisture is 0.021, and coal fineness is 75.338 %. Abstrak-Sistem otomasi yang berupa kendali otomatis sangat diperlukan pada satu atau beberapa unit operasi pada industri proses. Beberapa algoritma sistem kendali telah banyak diimplementasikan pada industri proses, salah satunya adalah kendali Proporsional dan Integral (PI). Kendali PI ini mempunyai struktur yang sederhana, namun kemampuan adaptif yang dimiliki pengendali ini masih kurang baik terhadap proses yang dikendalikan. Oleh karena itu, pengembangan kendali PI dibutuhkan agar mempunyai kemampuan adaptif yang lebih baik terhadap proses, sehingga menghasilkan tanggapan respons yang juga lebih baik dan kokoh. Penelitian ini mengembangkan kendali PI dengan menambahkan algoritma kendali Fuzi atau dikenal juga dengan sebutan kendali PI-Fuzi. Kendali PI-Fuzi pada penelitian ini diterapkan pada standar Programmable Logic Controller (PLC) IEC 61499 dan untuk melihat kinerjanya, kendali PI-Fuzi berbasis IEC 61499 diujikan dan divalidasi pada proses berskala industri, yaitu coal mill. Pengujian dilakukan selama tiga jam secara waktu nyata pada perangkat lunak 4DIAC-IDE, lalu hasil responsnya dibandingkan dengan hasil respons pengendali PI. Blok fungsi kendali PI-Fuzi berbasis IEC 61499 yang dibuat pada penelitian ini menunjukkan kinerja yang baik dalam mengendalikan proses yang berskala industri. Hal ini ditunjukkan pada pengujian dan validasinya menggunakan coal mill, dengan mampu mencapai rentang kerja dari setiap parameter. Nilai rerata parameter aliran batu bara mencapai ...

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Section: A Pengendali Pi-fuzi Berbasis Iec 61499unclassified

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Pengembangan Blok Fungsi Kendali PI-Fuzi pada IEC 61499

Lebukan

Wardana

Effendy

2019

Jurnal Teknik Elektro

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“…The theory of fuzzy systems have been widely used in gain scheduling control field applications, giving origin to the field of study known as fuzzy gain scheduling control. Several studies have shown that fuzzy gain scheduling systems have become an important tool to control nonlinear, uncertain and time varying industrial systems [3], [4], [5], [6], [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy gain scheduling design based on multiobjective particle swarm optimization

Costa

Serra

2015

2015 Latin America Congress on Computational Intelligence (LA-CCI)

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In this paper, a fuzzy gain scheduling control approach based on gain and phase margins specifications for nonlinear systems with time varying delay, is proposed. A multiobjective particle swarm optimization (MPSO) strategy is defined to tune the fuzzy gain scheduling controller parameters for each operating condition, so the gain and phase margins of the fuzzy control system are close to specified ones. Experimental results show the efficiency of the proposed methodology for control of a thermal plant with time varying delay.

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“…To regulate the rotation speed of DFIG, the vector control method of the voltage frequency, which is supplied to the rotor winding [4][5][6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

The fuzzy logic controllers synthesis method in the vector control system of the wind turbine doubly-fed induction generator

et al. 2020

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The article is devoted to the improvement of control systems for wind turbines by developing fuzzy controllers with higher transient characteristics and low computational costs of identification in comparison with the applied PI controllers. Based on the self-organization method, a fuzzy speed controller of the doubly-fed induction generator (DFIG) of a wind turbine was synthesized, which uses a zero-order Sugeno fuzzy inference system and is made in the form of a block-oriented Wiener model. This regulator is an element of the vector control system of the transistor converter on the rotor side. The results of simulation modeling of the fuzzy controller showed that it provides a lower transition time compared to the PI controller, by 53.59% during acceleration and by 79.76% during braking, and 23.81% less error speed deviations from the reference signal. Such indicators can minimize losses while maintaining the maximum output power point of the power plant. The implementation of the developed system on wind turbines contributes to increasing the efficiency of wind farms, reducing the cost of electricity production, reducing the payback period of equipment, and the sustainable development of alternative energy in general.

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Adaptive Fuzzy Gain Scheduling of PI Controller for Control of the Wind Energy Conversion Systems

Cited by 51 publications

References 21 publications

Pengembangan Blok Fungsi Kendali PI-Fuzi pada IEC 61499

Pengembangan Blok Fungsi Kendali PI-Fuzi pada IEC 61499

Fuzzy gain scheduling design based on multiobjective particle swarm optimization

The fuzzy logic controllers synthesis method in the vector control system of the wind turbine doubly-fed induction generator

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