A VHDL Holistic Modeling Approach and FPGA Implementation of a Digital Sensorless Induction Motor Control Scheme

This paper presents a sensorless neural-network-based induction motor control scheme, developed by following a holistic approach to electronic system modeling and controller design. The method uses very-high-speed integrated circuits hardware description language (VHDL), allowing the engineering system's functional description to be combined with a detailed digital controller design, which is then implemented into a field- programmable gate array (FPGA). The VHDL description of the hardware-implemented neural networks is automatically generated by C++ programs, in an adaptable architecture, appropriate to low-dynamic systems such as fans and pumps. The complete system performance is investigated by simulation and validated experimentally. This approach provides advantages such as a unique modeling and evaluation environment for complete power electronic systems, the same environment is used for the digital controller design and compact FPGA rapid prototyping, fast design development, short time to market, a CAD platform independent model, and reusability of the model/design