Controlador Instantâneo Adaptativo Baseado em Rede Neural aplicado a um Conversor Boost
Keywords: DC-DC Converter, Neural Controller, Predictive Controller, Artificial Neural Network, Boost Converter
AbstractThe proposal for this work deals with a technique for controlling a Boost-type DC-DC converter, called Instantaneous Adaptative Neural Network Controller (IANNC). The proposed control method uses a Perceptron neural network that seeks to maintain the voltage converter output. Through IANNC it is possible to establish the appropriate working cycle for the Pulse Width Modulation (PWM) control signal. The proposed method was confronted with a typical Proportional Integral (PI) controller aiming to validate the model. The results were obtained using the PSIM simulator, where, in particular, the stability of the converter?s output voltage against an R load was considered.