Abstract
A rule-based, digital, closed-loop controller that incorporates “fuzzy” logic has been designed and implemented for the control of flow instabilities in axial compressors used with gas turbines for power generation. Having designed several controllers for similar purposes [1], a comparison was made among the rule-based and analytic approaches. Differences in the division of labor between plant engineers and control specialists, the type of knowledge required and its acquisition, the use of performance criteria, and controllers testing are discussed. The design, implementation and calibration of rule-based controllers are reviewed, with specific examples taken from the completed work on the generic dynamic mathematical model (GDMM) of flow instabilities in axial compressors developed in the IIE Department of Control and Instrumentation [2].
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Sánchez-Parra, M., Vite-Hernández, R. (2002). Use of a Rule-Based System for Process Control: Flow Instabilities in Axial Compressors Case Study. In: Coello Coello, C.A., de Albornoz, A., Sucar, L.E., Battistutti, O.C. (eds) MICAI 2002: Advances in Artificial Intelligence. MICAI 2002. Lecture Notes in Computer Science(), vol 2313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46016-0_52
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DOI: https://doi.org/10.1007/3-540-46016-0_52
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