OvGU Magdeburg, Faculty of Electrical Engineering and Information Technology
Abstract The first purpose of this thesis is research of efficiency factor possible optimization for decentralized electrical supply network by the example of asynchronous variable-frequency electric drive with small power and feeding from solar generator of optimal structure. The second purpose of this thesis is considering a possibility of creating an inexpensive transportable set-up according to transformation of solar energy to mechanical energy. One of the main tasks of this work was also the creating optimal control laws of such electric drive. The optimal structure is considered such electric drive structure which would allow maximum, with high efficiency factor, usage of not only separate electric drive components, but electric drive on the whole. Optimal control laws are considered such control laws which would allow achieving maximum efficiency factor from electric drive in the follow-up mode in case constantly changeable weather conditions without additional human interference. All main components of this electric drive (solar generator, frequency converter, asynchronous motor) represent nonlinear objects; the work mode of such objects connects with the work mode of this electric drive each element. The work modes of solar generator and water pump, which are considered in this thesis as an example of asynchronous motor loading, also depend on external factors (weather conditions, subterranean waters bedding level, water quality) which a human doesn’t influence. So this electric drive optimal control laws creation is represented the control task decision of the object with a lot of variable and changeable parameters according to unknown laws. Combined theories of neural nets with extreme control systems offer a wide field for possibilities in solution of such problems.