Abstract
Fuzzy logic is a mathematical tool for dealing with uncertainty using numerical parameters. Until now many fuzzy controllers have been constructed instead of systematically designed using trail and error method guided by designers experience on fuzzy control. The contribution of this paper is to propose a systematic with step by step methodology on how to design fuzzy PID fuzzy controller and to find the effect of tuning of many parameters (e.g., membership function shapes and number , rules types and input /output scaling gain) on system output response so that the researcher can be find the most useful in learning the finer point about tuning and design of fuzzy controllers.
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© 2011 Springer-Verlag Berlin Heidelberg
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Al-Khalidy, M.M.M., Al-attar, F.A. (2011). Step by Step Modeling and Tuning for Fuzzy Logic Controller. In: Tan, H. (eds) Informatics in Control, Automation and Robotics. Lecture Notes in Electrical Engineering, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25899-2_12
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DOI: https://doi.org/10.1007/978-3-642-25899-2_12
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