This paper presents a dual axis design for a fuzzy inference approach-based solar tracking system. The system is modeled using Mamdani fuzzy logic model and the different combinations of ANFIS modeling. Models are compared in terms of the correlation between the actual testing data output and their corresponding forecasted output. The Mean Absolute Percent Error and Mean Percentage Error are usedto measure the models error size. In order to measure the effectiveness of the proposed models, we compare the output power produced by a fixed photovoltaic panels with the output which would be produced if the dual-axis panels are used. Results show that dual-axis solar tracker system will produce 22% more power than a fixed panels system.

No abstract

Abstract-The development of low cost, low power, multi-functional sensor nodes created a new form of networking applicable to a variety of fields. The goal is to create low cost, low power consumption and web accessed wireless sensor nodes in order to be used for environment monitoring. A wireless sensor network consists of large number of sensor nodes. One of these nodes is used as a gateway to be connected to the internet; this node is called a base station or a sink node. The capabilities of the gateway node will be larger than the other nodes in the system. However it will be directly connected to the internet via Wi-Fi or Ethernet adapter. Moreover a web server may be installed on this node; this will enable the system to be directly accessed any time from any location. The low power consumption is strongly needed to be used in A wireless sensor networks; this because the wireless sensor nodes almost powered by batteries. In order to achieve this goal an intelligent hardware and intelligent software should be implemented carefully to adapt the environment changes and do some adjustments and calibrations on the system.