Title :
Adaptive Neuro Fuzzy based soft starting of voltage-controlled induction motor drive
Author :
Rajaji, L. ; Kumar, C.
Author_Institution :
Sathyabama Univ., Chennai
Abstract :
Soft starters are used with induction motors in blowers, fans, pumps and the crane hoist drives. AC voltage controllers are used as soft starters in induction motors for starting and to adjust its speed. This paper presents a novel neuro fuzzy based AC voltage controller to generate the firing pulses for appropriate thyristors for any given operating torque, speed of the motor and the load. An ANFIS (Adaptive Neuro Fuzzy Inference System) model has been designed to achieve the proposed algorithm. MATLAB/SIMULINK package has been used to simulate the proposed method. Simulation results presented in this paper explain the advantages of proposed soft starting method over conventional method. The advantages of proposed method are its simplicity, stability, and accuracy and fast response.
Keywords :
adaptive control; electric machine analysis computing; fuzzy control; fuzzy reasoning; induction motor drives; machine control; neurocontrollers; starting; thyristors; voltage control; ANFIS model; MATLAB/SIMULINK package; adaptive neuro fuzzy inference system; soft starters; thyristor firing; torque; voltage-controlled induction motor drive; AC generators; Cranes; Fans; Fuzzy control; Induction generators; Induction motor drives; Induction motors; Pulse generation; Torque control; Voltage control; AC voltage controller; ANFIS; Soft starter; thyristor and induction motor;
Conference_Titel :
Southeastcon, 2008. IEEE
Conference_Location :
Huntsville, AL
Print_ISBN :
978-1-4244-1883-1
Electronic_ISBN :
978-1-4244-1884-8
DOI :
10.1109/SECON.2008.4494337