FPGA realization of the LIRA neural classifier
Optical Memory and Neural Networks
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This article describes the successful VHDL design of a digital current control architecture for three phase electric drive systems, based on hardware implemented neural networks. The controller comprises an on-line inductance estimator and a PWM switching pattern generator based on a state space observer. Reconfigurable neural networks implemented with logic gates are involved in both. The complete development of the system has been achieved using VHDL and implemented into a single FPGA chip. C++ programs have automatically generated the VHDL description of the neural networks. The VHDL model of the motor controller allows the control over the hardware implementation complexity and therefore it can be readily adapted to the available hardware resources.