2014
DOI: 10.1063/1.4885099
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A remotely accessible solar tracker system design

Abstract: In this paper, a new solar tracking system designed and constructed at Afyon Kocatepe University to maximize the efficiencies of different photovoltaic (PV) panels is proposed. The system is composed of two main parts: first is the mechanical part, whereas the second is the control part. The mechanical part of the system has the ability to move both in vertical and in horizontal axes. Servo engines are selected and used at this part. On the other hand, control part is designed as to be achieved via remote acce… Show more

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Cited by 16 publications
(6 citation statements)
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“…In reference [45], whose aim is to design a low cost two-axis solar tracker for obtaining a high precision positioning of the panel, the control-board is able to support different control strategy, PID and FLC; using the error signal, the tracking capacities of the proposed approaches are tested on an experimental prototype. In reference [12], the implementation of a fuzzy logic neural controller (FNLC) in photovoltaic systems has been studied; this controller, which is an evolution of the fuzzy control concept, allows the system to learn control rules. A controller which incorporates the advantages of two alternate design techniques (a deadbeat regulator for quick, rough control, and an LOG/LTR (Linear Quadratic Gaussian with Loop Transfer Recovery) regulator, for soft, final tracking) is presented in [35]; the first one performs approaching the target in a minimum of time; the second one allows a soft approach to the target.…”
Section: Issn: 2668-0416mentioning
confidence: 99%
“…In reference [45], whose aim is to design a low cost two-axis solar tracker for obtaining a high precision positioning of the panel, the control-board is able to support different control strategy, PID and FLC; using the error signal, the tracking capacities of the proposed approaches are tested on an experimental prototype. In reference [12], the implementation of a fuzzy logic neural controller (FNLC) in photovoltaic systems has been studied; this controller, which is an evolution of the fuzzy control concept, allows the system to learn control rules. A controller which incorporates the advantages of two alternate design techniques (a deadbeat regulator for quick, rough control, and an LOG/LTR (Linear Quadratic Gaussian with Loop Transfer Recovery) regulator, for soft, final tracking) is presented in [35]; the first one performs approaching the target in a minimum of time; the second one allows a soft approach to the target.…”
Section: Issn: 2668-0416mentioning
confidence: 99%
“…Therefore, the power consumption of the tracking system will be much smaller than the fifth strategy presented. The authors propose that different strategies should be considered for cloudy days and sunny days [35].…”
Section: Active Trackingmentioning
confidence: 99%
“…In the literature, we find many works focused on the knowledge of several astronomical and atmospheric quantities, whereas the use of these in algorithms makes the parameters difficult to implement when it comes to simple solar tracking systems [4]. A solar tracker can increase the efficiency of such equipment at any fixed position at the cost of additional system complexity [5][6][7]. There are many types of solar trackers of varying cost, sophistication, and performance [8,9].…”
Section: Introductionmentioning
confidence: 99%