Adaptive fuzzy-logic state controller for DC–DC step-down converter

Truntič, Mitja; Hren, Alenka; Milanovič, M.; Rodič, M.

doi:10.1007/s00202-017-0545-z

Cited by 6 publications

(3 citation statements)

References 28 publications

(39 reference statements)

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“…Several modern methods based on artificial intelligence have been proposed to remedy these issues, such as Artificial Neural Networks [10], and fuzzy logic controller (FLC) based Mamdani or Takagi-Sugeno model [11], [12]. These methods are accurate and efficient compared to the conventional techniques.…”

Section: Introductionmentioning

confidence: 99%

Low cost microcontroller implementation of Takagi–Sugeno Fuzzy MPPT controller for photovoltaic systems

Oubella

Ajaamoum

Bouachrine

2022

Int. j. electr. comput. eng. syst. (Online)

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Maximum power point trackers have a significant role in optimizing the energy conversion efficiency in a photovoltaic system. The numeric achievements of MPPT algorithm can be implemented and tested by using several embedded boards as Digital Signal Processor, Field-Programmable Gate Array, Arduino, and dspace. Alternatively, for the low cost, availability and simplicity, the PIC microcontrollers can be used compared with the other hardware devices. Therefore, this paper presents the implementation of a Takagi–Sugeno fuzzy controller on a low cost PIC microcontroller, for tracking the maximum power point of a PV module. The PV system consists of a PV emulator, DC-DC converter, and resistive load. The different steps in design, simulation and realization of the T-S Fuzzy logic controller are discussed. The proposed controller system was evaluated by comparing its performance metrics, in terms of efficiency and the Integral Square Error, with existing technique in the literature. The results corresponding to the experimental validation show that the proposed MPPT controller is able to ensure a perfect tracking of the maximum power point with variation of irradiance and is performing better than reported in a previous work.

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Section: Introductionmentioning

confidence: 99%

Low cost microcontroller implementation of Takagi–Sugeno Fuzzy MPPT controller for photovoltaic systems

Oubella

Ajaamoum

Bouachrine

2022

Int. j. electr. comput. eng. syst. (Online)

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“…Developing advanced control strategies using a fuzzy approach for different systems including DC-DC converters have attracted much attention over recent years [6][7][8]. is is due to its adaptive control ability of the complex nonlinear systems.…”

Section: Introductionmentioning

confidence: 99%

Design and dSPACE Implementation of a Simplified Fuzzy Control of a DC-DC Three-Level Converter

Doubabi

Salhi

2021

Journal of Electrical and Computer Engineering

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The design of an efficient DC-DC converter depends critically on its suitable control. In this paper, a new simplified output tracking control strategy for a DC-DC three-level boost converter is presented. The proposed strategy is characterized by its good tracking performances, its simplicity of design, and the stability that is ensured over the entire operating range. Thanks to (i) the adopted Takagi–Sugeno (TS) fuzzy approach; (ii) the small-signal model derived under the large domain of operating conditions, and (iii) the proportional-integral (PI) controllers’ merit. After introducing the three-level boost converter topology, the operating principles and mathematical modeling are addressed. Then, the proposed output control strategy is developed based on the PI control and the TS fuzzy approximation. A controller ensuring the capacitor voltages balancing has been also introduced in this paper. Experimental results using dSPACE (DS1104) and a laboratory prototype of three-level boost converter demonstrate the flexibility of the proposed controller, its reference tracking capability, and its ability to satisfy the performance specification over the whole operating range of the system.

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“…The design of the FLC complicates the determination of its corresponding parameters. As such, scholars introduced genetic algorithm (GA) [15], [23] and PSO algorithm [24]- [26] to compute the optimal parameters of membership functions.…”

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confidence: 99%

A Fuzzy Logic Controller Based on Maximum Power Point Tracking Algorithm for Partially Shaded PV Array-Experimental Validation

Benlahbib¹,

Bouarroudj²,

Mekhilef³

et al. 2018

ElAEE

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In the last two decades, the maximum power point tracking (MPPT) methods for PV system is becoming very interesting subject. Among these methods there is Fuzzy-MPPT, which is mainly based on two inputs and at least 25 rules. This structure need more calculation time and not easy to be implemented in hardware. For these reasons and in order to facilitate the MPPT synthesis, this paper proposes an intelligent MPPT controller based on a single-input Takagi-Sugeno fuzzy logic controller (SI-TS-FLC) with three linguistic variables and three rules. The proposed controller is simulated using MATLAB-SIMULINK for a PV system, which consists of a PV generator, DC-DC converter, and resistive load under varied temperature and irradiance levels. An experimental study is conducted using DSPACE 1104 card real-time board under partial shading condition. Simulation and experimental results show that the proposed controller exhibits less settling time and lower overshoot than the commonly used perturb and observe (P&O) algorithm in the transient state and minimum oscillation around the optimal operating point. Index Terms-Fuzzy control; Maximum power point trackers; Photovoltaic systems; Takagi-Sugeno model. I. INTRODUCTION Currently, environment pollution issues, particularly climate change, cannot be neglected. According to many scientists, climate change is mainly due to the disastrous effects of emissions of greenhouse gases, particularly CO2, which are responsible for global warming and increase in the earth's temperature. Global warming causes several natural cataclysms, such as floods, cyclones, soil erosion, and losses in genetic diversity, in several locations worldwide. These natural disasters present an unprecedented ecological threat

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Adaptive fuzzy-logic state controller for DC–DC step-down converter

Cited by 6 publications

References 28 publications

Low cost microcontroller implementation of Takagi–Sugeno Fuzzy MPPT controller for photovoltaic systems

Low cost microcontroller implementation of Takagi–Sugeno Fuzzy MPPT controller for photovoltaic systems

Design and dSPACE Implementation of a Simplified Fuzzy Control of a DC-DC Three-Level Converter

A Fuzzy Logic Controller Based on Maximum Power Point Tracking Algorithm for Partially Shaded PV Array-Experimental Validation

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