Do you want to publish a course? Click here

The target of this study is improving the electrical power systems performance estimation because of its importance in complex modern networks investment that have a lot of advanced equipments. Having a complete representation of the electrical sy stem makes diagnosis thing much accurate and reliable which is used in electrical networks operation and maintenance. We focus in this research on implying different conditions and factors which affect operation and we use fuzzy petri nets for that purpose because of its characteristics in handling with incomplete and uncertainty data . we make our simulation on a real diagram of a refinery to compute its truth degree and discuss the results , we match that adding changing factors at operation contribute in improving networks estimation accuracy and support decisionmaking process .
This paper presents the proposed Method for designing fuzzy supervisory controller model for Proportional Integral Differential controller (PID) by Fuzzy Reasoning Petri Net (FRPN),the Features of Method shows the fuzzification value for each prop erty of membership function for each input of fuzzy supervisory controller, and determine the total number of rules required in designing the controller before enter the appropriate rules in the design phase of the rules, and determine the value of the inputs of the rule that has been activated, and assembly variables that have the same property and show the value for each of them programmatically, and determine the deffuzification value using deffuzification methods.
mircosoft-partner

هل ترغب بارسال اشعارات عن اخر التحديثات في شمرا-اكاديميا