2 research outputs found
Fast FPGA emulation of analog dynamics in digitally-driven systems
In this paper, we propose an architecture for FPGA emulation of mixed-signal
systems that achieves high accuracy at a high throughput. We represent the
analog output of a block as a superposition of step responses to changes in its
analog input, and the output is evaluated only when needed by the digital
subsystem. Our architecture is therefore intended for digitally-driven systems;
that is, those in which the inputs of analog dynamical blocks change only on
digital clock edges. We implemented a high-speed link transceiver design using
the proposed architecture on a Xilinx FPGA. This design demonstrates how our
approach breaks the link between simulation rate and time resolution that is
characteristic of prior approaches. The emulator is flexible, allowing for the
real-time adjustment of analog dynamics, clock jitter, and various design
parameters. We demonstrate that our architecture achieves 1% accuracy while
running 3 orders of magnitude faster than a comparable high-performance CPU
simulation.Comment: ICCAD '18: Proceedings of the International Conference on
Computer-Aided Desig
Fuzzy Inference Procedure for Intelligent and Automated Control of Refrigerant Charging
Fuzzy logic controllers are readily customizable in natural language terms
and can effectively deal with nonlinearities and uncertainties in control
systems. This paper presents an intelligent and automated fuzzy control
procedure for the refrigerant charging of refrigerators. The elements that
affect the experimental charging and the optimization of the performance of
refrigerators are fuzzified and used in an inference model. The objective is to
represent the intelligent behavior of a human tester and ultimately make the
developed model available for the use in an automated data acquisition,
monitoring, and decision-making system. The proposed system is capable of
determining the needed amount of refrigerant in the shortest possible time. The
system automates the refrigerant charging and performance testing of parallel
units. The system is built using data acquisition systems from National
Instruments and programmed under LabVIEW. The developed fuzzy models, and their
testing results, are evaluated according to their compatibility with the
principles that govern the intelligent behavior of human experts when
performing the refrigerant-charging process. In addition, comparisons of the
fuzzy models with classical inference models are presented. The obtained
results confirm that the proposed fuzzy controllers outperform traditional
crisp controllers and provide major test time and energy savings. The paper
includes thorough discussions, analysis, and evaluation.Comment: 17 pages, 20 figures, 3 table