NDLI: Increasing efficiency of the photovoltaic system of mobile robotic platforms for military application and exploration

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Increasing efficiency of the photovoltaic system of mobile robotic platforms for military application and exploration

Content Provider	IEEE Xplore Digital Library
Author	Gupta, A. Bagul, A. Kadu, B.
Copyright Year	2011
Description	Author affiliation: Maharashtra Inst. of Technol., India (Gupta, A.; Bagul, A.; Kadu, B.)
Abstract	For the unmanned military robotic platforms and exploration vehicles, the frequent external charging of energy storage devices (batteries) are not feasible. In such cases photovoltaic are preferred as backup for the energy storage devices, which charge these devices onboard. But the low energy conversion efficiency of photovoltaic is much of a concern. Hence every attempt of extracting the maximum output from photovoltaic (PV) is greatly appreciated, especially in military platforms where size and weight of the PV array is constrained. Furthermore the mobility of these platforms adds to the inefficiencies of the array by partial shading and dynamic irradiance. Few methodologies proposed for maximizing the output and increase efficiency includes Maximum Power Point Tracking using Adaptive Resonance Theory (ART2) Artificial Neural Network algorithm and unsupervised learning using improved incremental conductance algorithm, which tracks the maximum power point of the photovoltaic array that fluctuates along with the fluctuations in irradiance of the sun using an efficient neural network. Also determining the angle of sun with the MEMS digital sun sensors and aligning the modules accordingly, increases the input irradiance received by the panel. The techniques for bypassing other sources for inefficiencies like shading effect, thermal effect is also presented. The integration of various modular systems together ensures the effective utilization of the available solar energy hence increasing the efficiency. The simulation confirms the facts and illustrates the increase in output efficiency of the PV module for onboard backup charging of the energy storage device on a military mobile platform.
File Size	2157029
File Format	PDF
ISBN	9781424478835
e-ISBN	9781424478828
DOI	10.1109/IICPE.2011.5770271
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-01-28
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Photovoltaic systems sun tracking ART MPPT Solar Cell Military Solar Rover Artificial neural networks Mobile communication Sun Equations maximum power point increasing efficiency Photovoltaic Photovoltaic cells Artificial Neural Network
Content Type	Text
Resource Type	Article

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