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基于粗糙集理论的在线自校正模糊控制器及其在过热汽温控制中的应用

On-Line Self-Tuning Fuzzy Controller Based on Rough Sets and Its Application in the Boiler Main Steam Temperature
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摘要 在分析模糊控制器中比例因子对被控系统性能影响的基础上,根据系统响应的特征制定了在线自校正比例因子的决策表,采用粗糙集理论对决策表进行处理,提出调整规则,其算法简单、实时性好。仿真结果表明该方法控制效果良好,适用于大滞后过程的控制。 Based on the analysis on the effect of proportional factor in fuzzy controller to the system performance, the decision table of on-line self-tuning adjustment of proportional factor is worked out by using the performance of the system response. The adjustment rule is derived from the decision table by using RS. The algorithm is simple and features good real-time performance. The result of simulation shows that the controller has good control effect and is adaptive to the control of large lag system.
作者 韩丽 徐治皋
出处 《测控技术》 CSCD 2004年第12期30-33,共4页 Measurement & Control Technology
关键词 模糊控制器 粗糙集 比例因子 自校正 锅炉过热 汽温 fuzzy controller rough sets(RS) proportional factor self-tuning boiler main steam temperature
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