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DSP based platform for a vector control AC inverter with a neural network observer

Abstract:

This work presents the development of a platform with a DSP based control system intended as a test base for space vector and neural network based control strategies over an AC motor inverter driver. Between the main features of this system are its low cost, adaptability and simplicity, in order to use it in several research and teaching Power Electronics Laboratories. The platform has been tested with scalar, neural network estimator and space vector controller, showing a better performance in comparison with other microprocessor implementations.