FUZZY LOGIC CONTROLLER BASED SPEED CONTROL OF THREE PHASE INDUCTION MOTOR

Electrical Engineering

During the past several years, fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of fuzzy set theory, especially in the realm of industrial processes, which do not lend themselves to control by conventional methods because of a lack of quantitative data regarding the input-output relations. Fuzzy control is based on fuzzy logic-a logical system that is much closer in spirit to human thinking and natural language than traditional logical systems. The fuzzy logic controller (FLC) based on fuzzy logic provides a means of converting a linguistic control strategy based on expert knowledge into an automatic control strategy. This methodology conveying a new method for speed control system for induction motor which is based on fuzzy logic instead of obsolete indirect vector control using PI controller as a speed regulator in outer speed loop. In obsolete method for speed control system of a induction motor drive uses a voltage source pulse width modulation inverter-fed vector controlled indirectly which is having low precision for the speed control giving bad speed regulation characteristics and decreasing the performance of the whole induction motor drive. To prevail over this PI controller by a automatically sensing fuzzy control system which is based on fuzzy set theory. The execution of this automatically sensing fuzzy control system can be inquired through digital simulation which is based on MATLAB-SIMULINK package. By using this digital simulation system the performance of fuzzy control system can be seen by creating variable operating conditions by varying reference speeds and at different load torques. Consequences of this digital/simulation system shows improved performance characteristics of the suggested fuzzy control system over the obsolete PI controller as a speed regulator in outer speed loop

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