Optimization of fuzzy logic (Takagi-Sugeno) blade pitch angle controller in wind turbines by genetic algorithm

Civelek, Zafer

doi:10.1016/j.jestch.2019.04.010

Cited by 68 publications

(48 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The rotor speed is controlled through the blade pitch angle β and the electric power is matched with the modulation index. In addition, the gain-scheduling layer modifies the tuning parameters of the PI controllers and the values of the elements of the static decoupling network according to the Expressions (14)(15)(16)(17)(18)(19)(20)(21). At this point, there is a compromise situation in which the system is moved to a When the average wind speed reaches 7.5 m/s, this point is considered the beginning of the transition zone to the nominal region, i.e., the power regulation zone.…”

Section: Experimental Results Of the Proposed Controllermentioning

confidence: 99%

See 1 more Smart Citation

Improvement of Small Wind Turbine Control in the Transition Region

et al. 2020

View full text Add to dashboard Cite

Wind energy conversion systems are very challenging from the control system viewpoint. The control difficulties are even more challenging when wind turbines are able to operate at variable speed and variable pitch. The contribution of this work is focused on designing a combined controller that significantly alleviates the wind transient loads in the power tracking and power regulation modes as well as in the transition zone. In a previous work, the authors studied the applicability of different multivariable decoupling methodologies. The methodologies were tested in simulation and verified experimentally in a lab-scale wind turbine. It was demonstrated that multivariable control strategies achieve a good closed-loop response within the transition region, where the interaction level is greater. Nevertheless, although such controllers showed an acceptable performance in the power tracking (region II) and power regulation (region IV) zones, appreciable improvement was possible. To this end, the new proposed methodology employs a multivariable gain-scheduling controller with a static decoupling network for the transition region and monovariable controllers for the power tracking and power regulation regions. To make the transition between regions smoother, a gain scheduling block is incorporated into the multivariable controller. The proposed controller is experimentally compared with a standard switched controller in the lab-scale wind turbine. The experiments carried out suggest that the combination of the proposed multivariable strategy for the transition region to mitigate wind transient loads combined with two monovariable controllers, one dedicated to region II and other to region IV, provide better results than traditional switched control strategies.

show abstract

Section: Experimental Results Of the Proposed Controllermentioning

confidence: 99%

“…In addition, recent works use a fuzzy approach to this problem. In [18], a fuzzy logic (Takagi-Sugeno) blade pitch angle controller is proposed to accommodate the wind turbine nonlinearities. In [19], the fuzzy approach is used for the modeling of the wind turbine that can be used in a fuzzy model predictive control.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Small Wind Turbine Control in the Transition Region

et al. 2020

View full text Add to dashboard Cite

show abstract

“…It was concluded that the stall-controlled wind turbine provided better results in terms of flicker emissions, voltage fluctuations, and mechanical loads that the yaw-controlled one. To better accommodate the nonlinearities of wind turbine systems, Civelek [135] propose a fuzzy logic controller for blade pitch. This controller's coefficients are optimized with an advanced genetic algorithm and resulted in better output power stability.…”

Section: Control Systems Approachesmentioning

confidence: 99%

Technological and Operational Aspects That Limit Small Wind Turbines Performance

et al. 2020

View full text Add to dashboard Cite

Small Wind Turbines (SWTs) are promissory for distributed generation using renewable energy sources; however, their deployment in a broad sense requires to address topics related to their cost-efficiency. This paper aims to survey recent developments about SWTs holistically, focusing on multidisciplinary aspects such as wind resource assessment, rotor aerodynamics, rotor manufacturing, control systems, and hybrid micro-grid integration. Wind resource produces inputs for the rotor’s aerodynamic design that, in turn, defines a blade shape that needs to be achieved by a manufacturing technique while ensuring structural integrity. A control system may account for the rotor’s aerodynamic performance interacting with an ever-varying wind resource. At the end, the concept of integration with other renewable source is justified, according to the inherent variability of wind generation. Several commercially available SWTs are compared to study how some of the previously mentioned aspects impact performance and Cost of Electricity (CoE). Understanding these topics in the whole view may permit to identify both tendencies and unexplored topics to continue expanding SWTs market.

show abstract

“…Pada himpunan tegas (crisp), nilai keanggotaan suatu item x dalam suatu himpunan A, sering ditulis dengan μ A[x] (Wibowo, n.d.). Fuzzy metode Takagi-Sugeno merupakan metode inferensi fuzzy untuk aturan yang direpresentasikan dalam bentuk IF -THEN (Lamrabet, Ech-charqy, Tissir, & Haoussi, 2019) dimana output (konsekuen) sistem tidak berupa himpunan fuzzy, melainkan berupa konstanta atau persamaan linear (Civelek, 2019).…”

Section: Abstrakunclassified

Penerapan Metode Fuzzy Sugeno Untuk Menentukan Jalur Terbaik Menuju Lokasi Wisata Di Surabaya

Mukaromah

2019

j. Matematika Sains dan Teknologi

View full text Add to dashboard Cite

This study aims to determine the best route to tourist sites in Surabaya. An optimal path will be obtained from three path choices. The method used is Sugeno Fuzzy Logic, by obtaining membership degrees with fuzzification and then being applied to the appropriate rules, followed by the deflation process to produce optimal and less optimal output. There are six tourist attractions to be visited including Tugu Pahlawan, Food Junction Pakuwon, Atlantis Land, Surabaya Zoo (KBS), Suroboyo Carnival, and Mangrove. There are three starting points (Surabaya City Hall, Purabaya Terminal, and Tanjung Perak Port). The criteria used in this study are distance to tourist attractions, time taken, and road density. These criteria were chosen based on almost all tourist locations in the city of Surabaya through the crowds along the main city lanes in Surabaya. Data is obtained through google maps by comparing three paths and the optimal path will be determined to be passed to get to tourist attractions in Surabaya. The results of this study obtained six optimal paths from each starting point. Penelitian ini bertujuan untuk menentukan jalur terbaik menuju lokasi wisata di Surabaya. Akan diperoleh jalur optimal dari tiga pilihan jalur. Metode yang digunakan adalah logika fuzzy sugeno, dengan cara mendapatkan derajat keanggotaan dengan fuzzifikasi dan kemudian diimplikasikan ke dalam rule yang sesuai, dilanjutkan proses defuzzfikasi untuk menghasilkan output optimal dan kurang optimal. Terdapat enam tempat wisata yang akan dikunjungi diantaranya Tugu Pahlawan, Food Junction Pakuwon, Atlantis Land, Kebun Binatang Surabaya (KBS), Suroboyo Carnival, dan Mangrove. Ada tiga titik awal (Balaikota Surabaya, Terminal Purabaya, dan Pelabuhan Tanjung Perak). Kriteria yang digunakan pada penelitian ini adalah jarak ke tempat wisata, waktu yang ditempuh, dan kepadatan jalan. Kriteria tersebut dipilih berdasarkan hampir seluruh lokasi wisata yang ada di kota Surabaya melewati keramaian di sepanjang jalur utama kota yang ada di Surabaya. Data diperoleh melalui Google maps dengan membandingkan tiga jalur dan akan ditentukan jalur optimal yang akan dilewati untuk menuju tempat wisata di Surabaya. Hasil dari penelitian ini diperoleh enam jalur yang optimal dari setiap titik awal.

show abstract

Optimization of fuzzy logic (Takagi-Sugeno) blade pitch angle controller in wind turbines by genetic algorithm

Cited by 68 publications

References 20 publications

Improvement of Small Wind Turbine Control in the Transition Region

Improvement of Small Wind Turbine Control in the Transition Region

Technological and Operational Aspects That Limit Small Wind Turbines Performance

Penerapan Metode Fuzzy Sugeno Untuk Menentukan Jalur Terbaik Menuju Lokasi Wisata Di Surabaya

Contact Info

Product

Resources

About