Hardware Implementation of a Fuzzy Logic Controller for a Hybrid Wind-Solar System in an Isolated Site

Aymen, Jemaa; Zarrad, Ons; Ali, Hajjaji Mohamed; Mansouri, Mohamed

doi:10.20944/preprints201709.0077.v1

Cited by 2 publications

(3 citation statements)

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“…Logika fuzzy digunakan untuk menterjemahkan suatu besaran yang diekspresikan menggunakan bahasa (linguistic), misalkan besaran kecepatan laju kendaraan yang diekspresikan dengan pelan, agak cepat, cepat, dan sangat cepat. Logika fuzzy menunjukan sejauh mana suatu nilai itu benar dan sejauh mana suatu nilai itu salah [5,6]. Logika fuzzy adalah suatu cara yang tepat untuk memetakan suatu ruang input kedalam suatu ruang output, mempunyai nilai kontinyu.…”

Section: Gambar 1 Spektrum Cahaya Tampakunclassified

Penerapan Fuzzy Logic Untuk Meningkatkan Derajat Kebenaran Deteksi Pada Alat Bantu Buta Warna Berbasis Sensor Optik

Iskandar

Utami²

2019

KOMPUTASI J I I K M

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AbstrakPrototipe deteksi warna berbasis Arduino dan sensor warna TCS3200 telah berhasil dikembangkan. Prototipe ini dibangun dengan menerapkan logika fuzzy untuk meningkatkan akurasi pembacaan warna berdasarkan tingkat keanggotaan (μ (x)). Metode yang digunakan adalah mengubah ruang warna RGB (merah, hijau, biru) menjadi ruang warna HSV (Hue, Saturation, Value). Dari ruang warna HSV, nilai Hue diambil sebagai variabel independen dalam membuat kurva segmentasi warna dan μ (x). Bentuk keluaran dari prototipe adalah suara dengan informasi warna yang terdeteksi. Untuk mendapatkan jarak optimal dari deteksi warna, sensor ditempatkan pada jarak 1 cm, 2, cm dan 3 cm dari objek. Dari hasil pengujian, akurasi yang diperoleh pada jarak 1 cm adalah 100%, jarak 2 adalah 94.7% dan 89.4% pada jarak 3 cm. Oleh karena itu dapat disimpulkan bahwa jarak ideal untuk mengukur prototipe adalah 1 cm. AbstractArduino-based color detection prototype and TCS3200 color sensor have been successfully developed. This prototype was built by applying fuzzy logic to improve the accuracy of color readings based on the degree of membership (μ (x)). The method used is to transform the RGB color space (red, green, blue) to the HSV color space (Hue, Saturation, Value). From the HSV color space the Hue value is taken as the independent variable in making the color segmentation curve and μ (x). The output form of the prototype is a sound with detected color information. To get the optimal distance of color detection, the sensor is placed at a distance of 1 cm, 2, cm and 3 cm from the object. From the test results, obtained accuracy at a distance of 1 cm is 100%, distance 2 is 94.7% and 89.4% at a distance of 3 cm. Therefore it can be concluded that the ideal distance for measuring prototype is 1 cm.

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Section: Gambar 1 Spektrum Cahaya Tampakunclassified

Penerapan Fuzzy Logic Untuk Meningkatkan Derajat Kebenaran Deteksi Pada Alat Bantu Buta Warna Berbasis Sensor Optik

Iskandar

Utami²

2019

KOMPUTASI J I I K M

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“…Also developed in this work is a C++ based fuzzy logic(FL) program for achieving MPPT control, so as to present a brief comparative aspect with the developed ASM controller. However, unlike conventional methods of fuzzy logic models using MATLAB fuzzy inference system(FIS) or MATLAB code (Aymen et al, 2018), a C++ based fuzzy-MPPT program is developed and result verified from an online compiler is presented. Implementing FL developed using FIS into hardware digital controllers require specific hardware interfacing modules (Aymen et al, 2018;Sana & Anis, 2018) with MATLAB.…”

Section: Introductionmentioning

confidence: 99%

“…However, unlike conventional methods of fuzzy logic models using MATLAB fuzzy inference system(FIS) or MATLAB code (Aymen et al, 2018), a C++ based fuzzy-MPPT program is developed and result verified from an online compiler is presented. Implementing FL developed using FIS into hardware digital controllers require specific hardware interfacing modules (Aymen et al, 2018;Sana & Anis, 2018) with MATLAB. Else, they are to be verified in pure simulation which cannot be completely reliable as far as the real-time execution times of the FL are considered.…”

Section: Introductionmentioning

confidence: 99%

MPPT Control of Photovoltaic Systems Using Statechart With Abstraction and Its Comparison With Fuzzy Logic

Molleti

Kashibhatla

Rajamahanthi

2021

International Journal of System Dynamics Applications

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Maximum power point tracking(MPPT) control is an indispensable aspect of photovoltaic(PV) systems. Many MPPT techniques including a few based on soft-computing have been employed earlier. The soft-computing techniques include fuzzy-FSMs (Finite State Machines)which are integration of fuzzy logic (FL) into states or transitions of FSMs which are used for control and modeling of real-time systems. However, FSMs pose certain disadvantages as compared to its advanced variant called ‘statecharts’. In this work, statecharts with abstraction layers are proposed for MPPT control of PV system. An abstract-statechart MPPT(ASM) controller is developed and is verified with PV system using co-simulation. A C++ based FL MPPT program is also developed, which is independent of any predefined and simulation-only functions. A conceptual estimation of execution time of such a FL MPPT program is presented and compared with the execution times delivered by proposed ASM controller. It can be observed that the ASM controller gives accurate, fast tracking speeds, along with the advantage of abstraction.

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Hardware Implementation of a Fuzzy Logic Controller for a Hybrid Wind-Solar System in an Isolated Site

Cited by 2 publications

References 0 publications

Penerapan Fuzzy Logic Untuk Meningkatkan Derajat Kebenaran Deteksi Pada Alat Bantu Buta Warna Berbasis Sensor Optik

Penerapan Fuzzy Logic Untuk Meningkatkan Derajat Kebenaran Deteksi Pada Alat Bantu Buta Warna Berbasis Sensor Optik

MPPT Control of Photovoltaic Systems Using Statechart With Abstraction and Its Comparison With Fuzzy Logic

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