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嵌入式智能云控制系统的原理与设计
引用本文:黄崧,曾芳玲,杨景曙. 嵌入式智能云控制系统的原理与设计[J]. 电光与控制, 2007, 14(3): 99-102
作者姓名:黄崧  曾芳玲  杨景曙
作者单位:解放军电子工程学院,合肥230037;解放军电子工程学院,合肥230037;解放军电子工程学院,合肥230037
摘    要:云是用语言值表示的某个定性概念与其定量表示之间的不确定性转换模型.基于云模型的定性知识推理,以概念为基本表示,从数据库中挖掘出定性知识,构造规则发生器.多条定性规则构成规则库,当输入一个特定的条件激活多条定性规则时,通过推理引擎,实现带有不确定性的推理和控制.以往实现云控制器,主要依赖计算机及相关软件,限制了其进一步的推广应用.针对基于Quartus Ⅱ设计软件和Nios Ⅱ处理器的可编程片上系统进行设计开发,将云控制器在目标电路板的FPGA芯片中进行系统集成,实现以嵌入式云控制器为核心的智能控制系统,具有接口灵活、扩展性强、便于实现等优点.为基于云模型的智能控制系统的工业化应用,提供了硬件设计基础.

关 键 词:云模型  云控制器  智能控制
文章编号:1671-637X(2007)03-099-04
修稿时间:2005-12-052006-02-08

Principle and design of embedded intelligent cloud control system
HUANG Song,ZENG Fang-ling,YANG Jing-shu. Principle and design of embedded intelligent cloud control system[J]. Electronics Optics & Control, 2007, 14(3): 99-102
Authors:HUANG Song  ZENG Fang-ling  YANG Jing-shu
Affiliation:Electronics Engineering Institute of PLA, Hefei 230037, China
Abstract:Cloud model is a model of the uncertainty transition between a linguistic term of a qualitative concept and its quantitative representation.The concept is the basic representation in qualitative reasoning based on cloud model.Qualitative knowledge is mined from the database for constructing the rule generator,and multiple qualitative rules construct the rule library.When a certain input condition activates multiple qualitative rules,the uncertainty reasoning and control can be implemented through reasoning engine.The cloud controller used to be implemented with the computer and its software which limited its application.With the development of SOPC based on Quartus II design software and Nios II processor,the cloud controller can be integrated in a FPGA device on the target board.So the intelligent control system based on the embedded cloud controller is implemented,and it has flexible interfaces,better expansibility,and is convenient to implement.This provides the hardware design foundation for the industrial application of intelligent control system based on cloud model.
Keywords:cloud model   cloud controller   intelligent control
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