Optimization of the operation power of DC-DC converters applied to thermogenerators

The objective of this work is to develop a model that represents the thermoelectric generation plant with the purpose of optimizing the search of the maximum power point in the thermoelectric generators. Are used converters DC-DC controlled by artificial intelligence techniques. The method consists of regulating the voltage to connect various loads as batteries, and compare the optimal control methods with the classic control methods. The results show that the neural network makes it possible to carry out the process of learning the power pattern to estimate the work cycle quickly and efficiently. The Fuzzy controller totally eliminates overshoot and gets fast response time with satisfactory performance.