返回
A Portable Implementation on Industrial Devices of a Predictive Controller Using Graphical Programming
DOI:10.1109/TII.2016.2532118.png)
摘要
En 中文
This paper presents an approach for developing an extended prediction self-adaptive controller employing graphical programming of industrial standard devices for controlling fast processes. For comparison purposes, the algorithm has been implemented on three different field-programmable gate arrays (FPGAs) chips. This paper presents research aspects regarding graphical-programming controller design, showing that a single advanced control application can run on different targets without requiring significant program modifications. Based on the time needed for processing the control signal and on the application, one can efficiently and easily select the most appropriate device. To exemplify the procedure, a conclusive case study is presented.
Keyword:
Benchmark testing
field-programmable gate arrays (FPGAs)
predictive control
real-time systems
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.9
论文数:
8.6K
被引数:
6.0W
机构
引用论文
FPGA Implementation of ADALINE-Based Speed Controller in a Two-Mass System基于ADALINE的双质量系统速度控制器的FPGA实现
Photovoltaic Systems Reliability Improvement by Real-Time FPGA-Based Switch Failure Diagnosis and Fault-Tolerant DC-DC Converter基于FPGA的实时开关故障诊断和容错dc-dc变换器提高光伏系统可靠性
Temperature Control of Industrial Coke Furnace Using Novel State Space Model Predictive Control基于新型状态空间模型预测控制的工业焦炉温度控制

