No abstract

No abstract

No abstract

This paper describes the use of PID controller, and fuzzy logic controller techniques to control of a motor. Using Matlab/Simulink, This work seeks to identify the strengths and weaknesses of each of the two pilots, for the fuzzy logic controller (Intelligent Control). The system performance is evaluated in comparison with a traditional PID control scheme. Both simulation and experimental results are presented.

Sun tracking is very important to improve the efficiency of the concentrated solar panels (CSP) output power. Hence, high-accuracy sun tracking is needed. In this paper, we propose an innovative approach for the heliostat optimal orientation, overall, the solar tower using a hybrid image processing technique (IPT) and artificial neural networks (ANN). The main objective is to minimize the tracking error and increase the solar power tower plant performance. Image processing is used to locate the Sun position and help the heliostat to achieve its optimal direction. Moreover, using MATLAB/Simulink, the neural network approach is applied in order to simulate the IPT and generalize the heliostat tracking positions.