Fuzzy control of cooling water pumps related to a power plant

D. Popescu, R. Dinu, C. Bratu
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引用次数: 5

Abstract

Optimum operation of cooling water systems means minimum use of water while maintaining proper temperatures to limit algae growth and cool all equipment properly. Combined application of inverters and cooling water pumps brings us not only good energy-saving benefits but some new problems, such as inverters configuration and overload etc. The objective of this paper is to find a suitable solution by designing the intelligent controller for frequency controlling of cooling Water system, such as fuzzy logic and to investigate the controllability of this model under various changes of static head system. Based on the mathmatical model of puming systems with or without static head, the paper discusses some issues in detail, such as pressure and flow rate regulation. In fuzzy logic control, Mamdani model is used to control the system. The suggested system uses the concept of fuzzy logic system where the fuzzy rule base consists of a collection of fuzzy IF-THEN rules. The fuzzy inference engine uses these fuzzy IF-THEN rules to determine a mapping from fuzzy sets in the input universe of discourse to fuzzy sets in the output universe of discourse based on fuzzy logic principles. The fuzzy model can be successfully used for the variable speed control of hydraulic systems, when the Affinity Lows not observe exactly.
某电厂冷却水泵的模糊控制
冷却水系统的最佳运行意味着在保持适当温度以限制藻类生长和适当冷却所有设备的同时尽量减少用水。逆变器与冷却水泵的联合应用在带来良好的节能效益的同时,也带来了逆变器配置、过载等新问题。本文的目的是通过设计模糊逻辑等智能控制器对冷却水系统进行频率控制,寻找合适的解决方案,并研究该模型在静水头系统各种变化下的可控性。本文在建立有静扬程和无静扬程泵系统数学模型的基础上,详细讨论了压力和流量调节等问题。在模糊逻辑控制中,采用Mamdani模型对系统进行控制。建议的系统使用模糊逻辑系统的概念,其中模糊规则库由模糊IF-THEN规则的集合组成。模糊推理引擎利用这些模糊IF-THEN规则,根据模糊逻辑原理确定从话语输入域的模糊集到话语输出域的模糊集的映射。该模糊模型可以成功地应用于液压系统的变速控制中,当亲和度不能精确观察时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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