K.-D. Kramer, S. Braune, C. Blankenberg, T. Stolze, and A. Söchting (Germany)
Fuzzy Control (FC), FC-Design-Tool, FC-Teaching Models, Fuzzy Control Debugging
Computational Intelligence (CI) based model approaches, realized by Fuzzy Control models (FC) or models with Artificial Neural Networks (NN), are used as alternative concepts to classical control approaches. In university education or further training on the one hand models which represent the technical system transparent and easy cognizable are necessary. On the other hand a programming tool is required that supports an easy development process. That includes, additionally to an effective code generation, a tool to verify the results and tuning the system with graphic functions under real time conditions, especially as a debug system with trace function. The experiences with the Fuzzy Control Design Tool (FHFCE-Tool) and four technical models are presented in the current paper. The methodical and didactical objective in the utilization of these teaching models is to develop solution strategies in CI applications, for example Fuzzy Controllers. In particular, students are able to analyse different algorithms of inference or defuzzyfication and to verify and tune those systems efficiently.
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