The Research And Application Of Solar Energy Tracking Process Computer Intelligent Control System

The traditional fossil energy-based period is just not too long stage in the history ofthe development and the usage of energy. However, the energy will be exhausted andreplaced by new energy due to its special formation nature. So the human must seek somenew alternative energy. The research and practice show that the direct solar energyradiated to the earth is abundant and widely distributed. It can be regenerated and will notpollute the environment. So it is recognized as a ideal alternative energy.Using solar energy is multivariate, nonlinear, large delay, uncertainty severe anddifficult to establish precise mathematical model characteristics. So its process controlautomation level is relatively in backward situation. The solar tracking process is a typicalcomplex process, and the optimal control of complex process is always a research focus inthe control field.This thesis mainly studies the solar tracking process through the neural networknonlinear approximation capacity optical tracking process control. Through theapproximation ability of neural networks for nonlinear systems, we present the nonlinearsystems neural network adaptive control algorithm and prove the effectiveness of thealgorithm by Lyapunov stability theory. It is the theoretical optical tracking processalgorithm.We have designed the experimental system of solar tracking system according to thesolar tracking process. It is a photoelectric two-axis tracking system that dynamic trackingthe sunlight elevation and azimuth angles. The control unit of the system is through thecontrol of two steps for the motor to drive the array of photovoltaic cells of sunlightelevation angle and azimuth tracking movement, and to maintain the light receivingsurface of the cell array and the sunlight is always perpendicular so as to achieve sufficientabsorption of the solar light energy. The experiment mainly uses solar energy. When itcan’t achieve the desired effect, the heating systems would use electric heating to fill thegap. The system uses PLC controller as a master controller of the site. We have theconfiguration through the host computer and the final realization of the monitoring of theentire system.