Fuzzy adaptive particle swarm optimization basec maximum power point tracking

机译：模糊自适应粒子群优化basec最大功率点跟踪。

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The principal issue of the PSO is the early convergence because of the use of constant and linear inertia weight. To deal with this problem and to enhance the exploitation and exploration search of PSO, this research work present a new PSO based MPPT method including fuzzy reasoning for inertia weight adaptation (FPSO). The performance of the suggested method in terms of speed convergence and global search are evaluated through simulation using MATLAB software under constant irradiation and partial shading conditions (PSC).

机译：由于使用恒定和线性惯性权重，PSO的主要问题是早期收敛。为了解决这一问题并加强对PSO的开发和探索，本研究工作提出了一种新的基于PSO的MPPT方法，包括惯性权重自适应模糊推理（FPSO）。建议的方法在速度收敛和全局搜索方面的性能是通过使用MATLAB软件在恒定辐射和部分阴影条件（PSC）下进行仿真来评估的。

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《International Conference on Sciences and Techniques of Automatic Control and Computer Engineering》|2016年|434-439|共6页
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Manel Merchaoui; Anis Sakly; Mohamed Faouzi Mimouni;
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Convergence; Mathematical model; Maximum power point trackers; Radiation effects; Computational modeling; Heuristic algorithms; Photovoltaic cells;

机译：收敛;数学模型;最大功率点跟踪器;辐射效应;计算模型;启发式算法;光伏电池;

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1. Fuzzy cognitive network-based maximum power point tracking using a self-tuned adaptive gain scheduled fuzzy proportional integral derivative controller and improved artificial neural network-based particle swarm optimization [J] . Fuzzy sets and systems . 2020,第Feba15期

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2. A Novel Fuzzy Logic Control Technique tuned by Particle Swarm Optimization for Maximum Power Point Tracking for a Photovoltaic System using a Current-mode Boost Converter with Bifurcation Control [J] . Noppadol Khaehintung, Anantawat Kunakorn, Phaophak Sirisuk International Journal of Control, Automation, and Systems . 2010,第2期

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3. Photovoltaic maximum power point tracking under dynamic partial shading changes by novel adaptive particle swarm optimization strategy [J] . Eltamaly Ali M., Al-Saud Mamdooh S., Abokhalil Ahmed G., Transactions of the Institute of Measurement and Control . 2020,第1期

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4. Fuzzy adaptive particle swarm optimization basec maximum power point tracking [C] . Manel Merchaoui, Anis Sakly, Mohamed Faouzi Mimouni International Conference on Sciences and Techniques of Automatic Control and Computer Engineering . 2016

机译：基于模糊的自适应粒子群优化基于最大功率点跟踪
5. Partial Shading in Photovoltaic Cells Using Fuzzy Logic Tuned Particle Swarm Optimization Method of Maximum Power Point Tracking Control [D] . ?Mohammed Abdul, Nauman Moiz 2020

机译：使用模糊逻辑调谐粒子群优化方法的光伏电池局部遮蔽最大功率点跟踪控制
6. Maximum Power Point Tracking for Cascaded PV-Converter Modules Using Two-Stage Particle Swarm Optimization [O] . Mingxuan Mao, Qichang Duan, Li Zhang, -1

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7. FPGA BASED MAXIMUM POWER POINT TRACKER OF PARTIALLY SHADED SOLAR PHOTOVOLTAIC ARRAYS USING MODIFIED ADAPTIVE PERCEPTIVE PARTICLE SWARM OPTIMIZATION [O] . Shubhajit Roy Chowdhury, Dipankar Mukherjee, Hiranmay Saha 2014

机译：基于FpGa的改进自适应粒子群优化算法在部分遮蔽太阳光伏阵列的最大功率跟踪器上的应用

Fuzzy adaptive particle swarm optimization basec maximum power point tracking

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