Research on solar tracking composite control

At present in the field of solar thermal power, there are two types of solar tracking control modes as the date trajectory tracking and the optical test tracking. However, both of them have some disadvantages. As the date trajectory tracking in the lack of automatic adjustability, optical test tracking will use a large number of photoelectric detection devices. In order to solve the problems above, this paper carries out using genetic algorithm to improve original composite control, establishing two improved control schemes- genetic algorithm combined with the overall fit control schemes and dichotomy combined with local area genetic algorithm. Both of them not only save a large number of photoelectric detection circuit consumption but also ensure the tracking accuracy of the composite control. At the same time, the day trajectory tracking control system gets automatic adjustment ability. The research will reduce large-scale thermal power plant construction costs, and promote the development of solar thermal power generation.