Design and simulation of the motor-gear-alternator model to amplify the usability of the solar energy for commercial and domestic use

Abstract

The solar energy technology seems a long term reliable and sustainable energy model. Besides, the solar cell and solar power harvesting technology have advanced to the impressive levels. However, solar energy technology is lacking in terms of efficiency and usability. Solar power generating systems can be organized into mini-grids to serve areas not covered by the mains supply. The issue of the depletion of oil reserves in the world, the demand for electricity, frequent power outage and the problem of air pollution produced by motor vehicles emissions which have led to global warming motivate many researchers to seek alternative energy sources. In this study, a mathematical model to represent the MGA dynamics was designed. Detailed mathematical derivations from first principles have been presented and then represented the derived equations within Simulink. The parameters identification was investigated by applying different methods in MGA models. The Nonlinear Least-Square and Pattern-Search strategies were the best methods among the methods studied because of the performance and the accuracy and could be automated in MATLAB. Moreover, the effect of each of the PID parameters on the closed-loop dynamics were discussed and demonstrated how to use a PID controller to improve the system performance. Finally, the stability of the MGA Model was studied using Routh-Hurwitzs, Nyquist and Bode plots. It was found that the Bode plot is the best tool for determining the range of the gear ratio while the Nyquist plot and Routh Hurwitz methods are the best to obtain the relative stability of the closed and open system respectively. Simulation showed that the system is stable for 1 Gr 7 and the excess voltage is achieved when the Gr > 3 .This research has contributed to the eld of system modeling and system identification. This research has contributed to the eld of system modeling, system identification, and system stability analysis. This is a relatively new area that has a growing importance in control problems. The precise mathematical models are essential during the controller designing process because they allow the designer to estimate the closed-loop behavior of the plant. The errors in parameter values could result in poor instability and control. Therefore, adequacy and accuracy of parameters identification are primary modeling problems that always have to be addressed