Title :
Starting performance analysis of fuzzy logic based smart motor controller driven induction motor
Author :
Nafeesa, K. ; George, Saly
Author_Institution :
Dept. of Electr. Eng., Nat. Inst. of Technol., Calicut, India
Abstract :
This paper describes a fuzzy logic based smart motor controller to improve the starting performance of induction motor, and establishes the fact that optimum firing angle of the smart motor controller depends on the motor parameters. Identically rated motors with different parameter values are considered for the work. Fuzzy logic controller adjusts the firing angle of the SMC to improve the starting performance. Extensive simulations are carried out and electrical characteristics like peak positive and negative torque pulsations, peak starting current, nature of voltage and current waveforms at steady state are analyzed to demonstrate this concept. Results show that the optimum firing angle depends largely on motor parameters.
Keywords :
fuzzy control; induction motors; intelligent control; machine control; performance evaluation; starting; torque; waveform analysis; current waveforms; fuzzy logic based smart motor controller; identically rated motors; induction motor; motor parameters; optimum firing angle; peak negative torque pulsation; peak positive torque pulsation; peak starting current; starting performance improvement; voltage waveforms; Acceleration; Artificial intelligence; Fuzzy logic; Induction motors; Power electronics; Stators; Torque; Fuzzy logic control; Induction motor starting; Smart motor controller; Starting current transients; Torque pulsations;
Conference_Titel :
Energy, Automation, and Signal (ICEAS), 2011 International Conference on
Conference_Location :
Bhubaneswar, Odisha
Print_ISBN :
978-1-4673-0137-4
DOI :
10.1109/ICEAS.2011.6147099