Title :
Comparison on the performance of Induction motor control using fuzzy and ANFIS controllers
Author :
Simon, Robert ; Geetha, A.
Author_Institution :
Dept. of Electron. & Instrum. Eng., Nat. Eng. Coll., Kovilpatti, India
Abstract :
This paper presents the fuzzy and ANFIS control system for Induction motor drives for better performance. The design and simulation of fuzzy logic controller and ANFIS for Induction motor are carried out based on fuzzy set theory and Back propagation. Fuzzy Controller will produce the output based on the rules provided and that are based on human experience. Whereas ANFIS is a best tradeoff between neural and fuzzy system which provide smoothness, due to the fuzzy controller (FC) interpolation and adaptability due to the neural network (NN) Back propagation. Simulated result for Fuzzy and ANFIS controlled Induction motor shows that latter exhibit better results.
Keywords :
backpropagation; control system analysis; control system synthesis; fuzzy control; fuzzy neural nets; fuzzy reasoning; induction motor drives; interpolation; machine control; neurocontrollers; ANFIS controller; NN back propagation; fuzzy controller interpolation; fuzzy logic controller design; fuzzy logic controller simulation; fuzzy set theory; fuzzy system; induction motor control; induction motor drives; neural network back propagation; neural system; Artificial neural networks; Engines; Fuzzy logic; Induction motors; Mathematical model; Rotors; Torque; ANFIS; Back Propagation; Fuzzy; Induction motor; PI;
Conference_Titel :
Emerging Trends in Computing, Communication and Nanotechnology (ICE-CCN), 2013 International Conference on
Conference_Location :
Tirunelveli
Print_ISBN :
978-1-4673-5037-2
DOI :
10.1109/ICE-CCN.2013.6528549