Fuzzy Logic system Essay Example | Topics and Well Written Essays - 1500 words

Fuzzy Logic system - Essay Example The results of the analysis for different input and output conditions are compared and finally the best conditions are derived for the best performance of the machine. The given control system is a manufacturing machinery whose reliability can be analysed through the performance of three parts namely part A, part B and part C present in that machine. In order to diagnose faults in the components there are three sensors associated with them namely sensor 1, sensor 2 and sensor 3. A fault in any one of the three components may require either a cheap or expensive repair. The recovery time, the time that it takes the machine to return to full working order after repair, is either quick or slow or takes an intermediate amount of time. The output values of the sensors are to be controlled in a specific manner to evaluate the condition on the three parts on a scale 0 ( representing good condition – okay ) to 1( representing faulty condition). The given machinery can be represented and analysed using the Fuzzy Logic Tool Box available in MATLAB. Fuzzy logic starts with the concept of a fuzzy set. A fuzzy set is a set without a crisp, clearly defined boundary. It can contain elements with only a partial degree of membership. For the given system fuzzy variables are defined for each sensor and each part. The fuzzy variables for each sensor contain three equally sized, linear shaped, overlapping fuzzy sets comprising high, medium and low. The fuzzy variable for each machine part also contains three equally sized, linear shaped, overlapping fuzzy sets comprising of faulty, unreliable and okay. To construct the default system, the Mamdani Fuzzy Inference System in MATLAB GUI has been used. Mamdanis method was among the first control systems built using fuzzy set theory. It was proposed in 1975 by Ebrahim Mamdani (Sabeghi and Naghibzadeh , 2006,). In the FIS editor the default methods for AND , OR, implication, aggregation and defuzzification have been used. Three