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

机译:数字无传感器感应电动机控制方案的VHDL整体建模方法和FPGA实现

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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.
机译:本文提出了一种基于神经网络的无传感器感应电动机控制方案,该方案是通过对电子系统建模和控制器设计采用整体方法开发的。该方法使用超高速集成电路硬件描述语言(VHDL),使工程系统的功能描述与详细的数字控制器设计相结合,然后将其实现为现场可编程门阵列(FPGA) 。硬件实现的神经网络的VHDL描述是由C ++程序自动生成的,其结构适应性强,适用于风扇和泵等低动态系统。通过仿真研究了完整的系统性能,并进行了实验验证。这种方法具有以下优势,例如,用于完整的电力电子系统的独特建模和评估环境,用于数字控制器设计的相同环境以及紧凑的FPGA快速原型制作,快速设计开发,上市时间短,独立于CAD平台的模型以及模型/设计的可重用性。

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