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

blurry Logic system - Essay ExampleThe results of the analysis for different input and output conditions are compared and ultimately the best conditions are derived for the best performance of the machine.The given control system is a manufacturing machinery whose reliability mass be analysed through the performance of iii take aparts namely part A, part B and part C present in that machine. In order to diagnose faults in the comp onents 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 clock, the time that it takes the machine to return to full working order after repair, is either quick or fall or takes an intermediate amount of time. The output values of the sensors are to be controlled in a particular(prenominal) manner to evaluate the condition on the three parts on a scale 0 ( representing good condition okay ) to 1( representing fa ulty condition).The given machinery can be represented and analysed using the hirsute Logic Tool Box available in MATLAB. Fuzzy logic starts with the concept of a hazy set. A fuzzy set is a set without a crisp, clearly defined boundary. It can forbear elements with only a partial degree of membership. For the given system fuzzy variables are defined for from each one sensor and each part. The fuzzy variables for each sensor contain three evenly sized, linear shaped, co-occur 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, im plication, aggregation and defuzzification have been used. Three