Abstract
The paper deals with fuzzy approach applied for adaptation of parameters of classic PID controllers. It introduces implementation on programmable logic controllers S7 300/400. It also shows the concept of supervisor – an expert system that handles the above mentioned adaptation. Control performance monitoring, setting the model of the regulated system, its verification, the process of identification and subsequent adaptation of PID controller parameters are discussed in conclusion.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Kocian, J., Ozana, S., Koziorek, J. (2012). Fuzzy Knowledge Adaptation Mechanism for PID Controllers Implemented in PLC S7-300/400. In: Sambath, S., Zhu, E. (eds) Frontiers in Computer Education. Advances in Intelligent and Soft Computing, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27552-4_66
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DOI: https://doi.org/10.1007/978-3-642-27552-4_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27551-7
Online ISBN: 978-3-642-27552-4
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