Behavioural Non-Linearties Compensation Using AdvancedFuzzyLogic Model

The two layer fuzzylogic controller for the performance improvement of synchronous generator has been developed in this work. The two layers contain several membership functions for fuzzification, if-then rules for decision making and defuzzification method used Mamdani model using MATlab. The input data was taken on an experimental setup involving synchronous generator of industrial scale. It has been shown that the two layers provide full range control of the machine. The two layers designed and developed in the model take different control variable so as to offer the control leading to performance improvement of machine under various operating conditions. The simulation has been carried out using MATlab. The developed fuzzy logic model can be implemented through various hardware which are commercially available. The only difference in the conventional fuzzy logic control and two layer fuzzy logic .control as proposed and developed in the work is that a selector switch is required (like low range and high range selector switch is to execute different layers of FLC for the different input sub-ranges.

Autorentext

Reecha Sharma has submitted Phd in the field of Image Processing. She has ten years of teaching experience. She has guided 15 M.Tech. students. She has published over 35 research papers in International Journals and Conferences. Her research area is Image Processing. At present she is working as Assistant Professor(ECE) Punjabi University Patiala.