An accurate and efficient solar tracking system using image processing and LDR sensor
The use of renewable energy resources is increasing for the purpose of producing electricity in modern world due to lack of non-renewable sources. As solar panels are becoming more popular day by day, it is a crying need to maximize the solar panel efficiency. The efficiency of solar panels can be increased to a great extent if the solar panels continuously rotate in the direction of sun. Microcontroller and an arrangement of LDR sensors can be used for the purpose of tracking the sun. But the system is less efficient because of the low sensitivity and disturbance of light dependent resistors. In this paper, a methodology of an automatic solar tracker is proposed by means of both sensors and image processing simultaneously. The mechanism of solar tracking was implemented by the use of an image processing software which combines the effect of sensors and processed image of sun and controls the solar panel accordingly. The methodology is a combination of hardware and software which can be used to control hundreds of solar panels in a solar power plant with more accuracy. It can be concluded that the proposed system is more accurate and efficient than the conventional solar tracking systems which can optimize the power requirement.
A versatile microprocessor based controller for solar tracking
A microprocessor-based solar tracking controller was designed and fabricated. In addition to tracking, the controller is capable of acquiring photovoltaic and meteorological data from a photovoltaic system and controlling battery/load. These features are extremely useful in autonomous PV power systems installed in remote areas for system control and monitoring. Solar tracking can be achieved in closed-loop and open-loop modes, and the controller can provide either six PWM (pulse-width-modulated) signals for a three-phase, 50 Hz AC motor or four step signals for a stepper motor. The controller has been laboratory tested.<<ETX>>
Representation of systems disturbed by wide band noise
In this paper, a method of handling and working with wide band noise is developed. We represent wide band noise as a distributed delay of white noise and use it to reduce a nonlinear system disturbed by wide band noise to a nonlinear system disturbed by white noise. An application of this reduction to a nonlinear filtering problem under a wide band noise disturbance is discussed.