Single-phase photovoltaic grid-connected inverter based on fuzzy Variable Step Size P&O control

2021 ◽  
Author(s):  
Zerouali Mohammed ◽  
El Ougli Abdelghani ◽  
Tidhaf Belkassem
Keyword(s):  
Single Phase ◽  
Fuzzy Variable ◽  
Variable Step Size ◽  
Step Size ◽  
Variable Step ◽  
Grid Connected Inverter

Research on Grid-Connected Photovoltaic Generation System Based on Novel MPPT

2013 ◽  
Vol 397-400 ◽  
pp. 1863-1867
Author(s):  
Hong Mei Wu ◽  
Chu Cao
Keyword(s):  
Energy Demand ◽  
Control Strategies ◽  
Fuzzy Variable ◽  
Size Control ◽  
Variable Step Size ◽  
Step Size ◽  
Scanning Method ◽  
Conductance Method ◽  
Variable Step ◽  
Physics Experiment

With the rapid economic development and the increasing energy demand, solar energy as an important part of the renewable energy is taking more and more attention. In this paper, photovoltaic maximum power control strategies have been studied in this context, and MPPT method based on fuzzy variable step is proposed, it makes up the inadequate of traditional methods like perturbation observation method, incremental conductance method, intermittent scanning method and the constant voltage method. Build photovoltaic physics experiment platform, preparation of a variable step size control to achieve program, and simulation and experimental verification that the method can fast-track the changes in the weather, achieve MPPT, it has excellent dynamic and steady-state performance.

A Variable Step-Size for Sparse Nonlinear Adaptive Filters

2021 ◽  
Author(s):  
Alberto Carini ◽  
Markus V. S. Lima ◽  
Hamed Yazdanpanah ◽  
Simone Orcioni ◽  
Stefania Cecchi
Keyword(s):  
Adaptive Filters ◽  
Variable Step Size ◽  
Step Size ◽  
Variable Step

Active control for vehicle interior noise using the improved iterative variable step-size and variable tap-length LMS algorithms

2019 ◽  
Vol 67 (6) ◽  
pp. 405-414 ◽  
Author(s):  
Ningning Liu ◽  
Yuedong Sun ◽  
Yansong Wang ◽  
Hui Guo ◽  
Bin Gao ◽  
...  
Keyword(s):  
Steady State ◽  
Noise Control ◽  
Convergence Speed ◽  
Interior Noise ◽  
Lms Algorithm ◽  
Variable Step Size ◽  
Step Size ◽  
Vehicle Interior ◽  
Vehicle Interior Noise ◽  
Variable Step

Active noise control (ANC) is used to reduce undesirable noise, particularly at low frequencies. There are many algorithms based on the least mean square (LMS) algorithm, such as the filtered-x LMS (FxLMS) algorithm, which have been widely used for ANC systems. However, the LMS algorithm cannot balance convergence speed and steady-state error due to the fixed step size and tap length. Accordingly, in this article, two improved LMS algorithms, namely, the iterative variable step-size LMS (IVS-LMS) and the variable tap-length LMS (VT-LMS), are proposed for active vehicle interior noise control. The interior noises of a sample vehicle are measured and thereby their frequency characteristics. Results show that the sound energy of noise is concentrated within a low-frequency range below 1000 Hz. The classical LMS, IVS-LMS and VT-LMS algorithms are applied to the measured noise signals. Results further suggest that the IVS-LMS and VT-LMS algorithms can better improve algorithmic performance for convergence speed and steady-state error compared with the classical LMS. The proposed algorithms could potentially be incorporated into other LMS-based algorithms (like the FxLMS) used in ANC systems for improving the ride comfort of a vehicle.

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