摘要
船舶柴油机作为船舶动力装置,对航运经济有非常重要的支持作用。但是,由其产生的排放污染不容忽视,而且越来越为严重。云是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。通过将云控制技术应用于船舶柴油机供油提前角的控制,从而达到控制NOx排放量的目的。并经仿真验证了该方法的正确性。
Marine diesel engine plays a very important role in navigation economy as dynamical equipment. But the emission - pollution produced by it cannot be ignored, and then the trend of the pollution is more and more serious. Could model is a model of 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 minded 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 control technology has been applied to the fuel feeding angular advance control of marine diesel engine, to control NOx emission. Simulation has proved that the method is correct.
出处
《计算机仿真》
CSCD
北大核心
2009年第6期308-312,366,共6页
Computer Simulation
关键词
船舶柴油机
供油提前角
云理论
计算机仿真
Marine diesel engine
Fuel feeding angular advance
Cloud theory
Computer simulation
