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  • 标题:Simulated Design of Water Level Control System
  • 本地全文:下载
  • 作者:Bourdillon. O. Omijeh ; M. Ehikhamenle ; Elechi Promise
  • 期刊名称:Computer Engineering and Intelligent Systems
  • 印刷版ISSN:2222-1727
  • 电子版ISSN:2222-2863
  • 出版年度:2015
  • 卷号:6
  • 期号:1
  • 页码:30-40
  • 语种:English
  • 出版社:International Institute for Science, Technology Education
  • 摘要:In this paper, the modelling and simulation of a water tank level controller using fuzzy logic approach has been achieved. This project is aimed at the design and simulation of a fuzzy logic based controller that will provide a stabilized output response. In order to successfully achieve this project, emphasis was made on two areas; the foundational knowledge of fuzzy logic and the fuzzy inference system, and the definition of the tank system model and its parameters. The design was implemented using Fuzzy Logic Toolbox package and SIMULINK environment which can be found in MATLAB software. For the purpose of analysis, the controller was simulated using a variety of rules in order to test the effect of the rules on the fuzzy logic controller. Results will show that fuzzy logic can realize faster results, superior features, and better end product performance with respect to overshoots, oscillations and response time.
  • 其他摘要:In this paper, the modelling and simulation of a water tank level controller using fuzzy logic approach has been achieved. This project is aimed at the design and simulation of a fuzzy logic based controller that will provide a stabilized output response. In order to successfully achieve this project, emphasis was made on two areas; the foundational knowledge of fuzzy logic and the fuzzy inference system, and the definition of the tank system model and its parameters.  The design was implemented using Fuzzy Logic Toolbox package and SIMULINK environment which can be found in MATLAB software. For the purpose of analysis, the controller was simulated using a variety of rules in order to test the effect of the rules on the fuzzy logic controller. Results will show that fuzzy logic can realize faster results, superior features, and better end product performance with respect to overshoots, oscillations and response time. Keywords: Fuzzy logic, Control System Design, Matlab, Simulink
  • 关键词:Fuzzy logic; Control System Design; Matlab; Simulink
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