Analysis and Control of a three-phase motor using a neural network

Actually the electrical power systems analyzed in automatic control we find the systems: dynamic, linear, triphasic induction motors, their operation can be validated, through their mathematical model, and thus represent their parameters for a real physical motor. This has a high degree of feasibility of being controlled because a more precise approximation of its dynamics can be known. Guarantee optimal energy consumption and performance of a threephase motor, large companies have bet on artificial intelligence and the quality of proper operation in their new electric motors. This work has the purpose of carrying out an analysis on the operation of a three-phase electric motor for commercial use, is of vital im-portance to know the parameters of the real three-phase motor so that they allow an efficient use of energy and in addition to designing efficient and robust control schemes. Additionally the analyzed operation and manipulation and the training of a neural network (RNA) utilize MATLAB. Main contribution of this document is to experimentally validate the training of the RNA, taking real parameters on the manipulation of a triphasic motor. Training, the results can be used to improve engine performance as well as engine life.