DSP implementation of an artificial neural network for induction motor control

A neural network controller which is trained to perform as an indirect field oriented controller is implemented on a Texas Instruments TMS320C30 digital signal processor (DSP) based system. The computation error at the output of the neural network is investigated and some practical aspects of implementing the neural network on the DSP board is discussed. Experimental results are presented to demonstrate the performance of the controller.