A study of photovoltaic systems with a variable step size P&O MPPT algorithm

Author(s):  
Salah Necaibia ◽  
Mounia Samira Kelaiaia ◽  
Hocine Labar ◽  
Ammar Necaibia

Abstract The Photovoltaic systems have a slow dynamics of convergence toward the maximum power point (MPP), especially those equipped by the Boost converter based on the Conventional Incremental Conductance technique. This paper presents the simulation and hardware implementation of auto-scaling variable step-size MPPT in low cost and low power consumption μ-controller (PIC16F877A). Design and simulation of the proposed system are presented using ISIS PROTEUS. The two MPPT techniques, conventional IncCond method and variable step-size method are simulated in the ISIS PROTUES environment. The simulation results show the high tracking accuracy and fast speed convergence of the proposed method. Indeed, the experimental results are closely similar to those of simulation and also prove the advantages of the proposed technique, such as its reliability and accuracy in tracking the MPP. The suggested MPPT system reduces the complexity in implementation and cost of the photovoltaic systems.


Author(s):  
Alberto Carini ◽  
Markus V. S. Lima ◽  
Hamed Yazdanpanah ◽  
Simone Orcioni ◽  
Stefania Cecchi

2019 ◽  
Vol 67 (6) ◽  
pp. 405-414 ◽  
Author(s):  
Ningning Liu ◽  
Yuedong Sun ◽  
Yansong Wang ◽  
Hui Guo ◽  
Bin Gao ◽  
...  

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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