Title :
TS -Fuzzy controller based rotor resistance estimation for indirect field oriented controlled IM drive utilizing rotor flux
Author :
Chacko, S. ; Jain, S.
Author_Institution :
Dept. of Electr. Eng., Maulana Azad Nat. Inst. of Technol. (MANIT), Bhopal, India
Abstract :
Induction motor with indirect field oriented control is well suited for high performance applications due to its excellent dynamic behavior. But, the indirect field oriented controller is sensitive to variations in rotor time constant, especially variation in rotor resistance. In this paper a scheme based on the Rotor flux Model Reference Adaptive Controller is designed for estimating the rotor resistance. The rotor flux estimation based on the measurement of motor terminal voltage and current although depends on the motor stator resistance, however its compensation easier and the overriding feature of this estimation technique is that identification of rotor resistance when the drive is operating at full load and at zero motor speed condition is possible. The effectiveness of the TS fuzzy controller based rotor flux adaptive scheme for four quadrant operation of motor drive is investigated and compared with the conventional PI and Mamdani fuzzy controller inMatlab/Simulink environment.
Keywords :
PI control; adaptive control; electric current measurement; fuzzy control; induction motor drives; machine vector control; rotors; voltage measurement; Mamdani fuzzy controller; Matlab-Simulink environment; PI fuzzy controller; TS -fuzzy controller; estimation technique; indirect field oriented controlled IM drive; indirect field oriented controller; induction motor; motor drive; motor stator resistance; motor terminal current measurement; motor terminal voltage measurement; rotor flux estimation; rotor flux model reference adaptive controller; rotor resistance estimation; Adaptation models; DC motors; Induction motors; Mathematical model; Resistance; Rotors; Stators; Indirect Field Oriented Vector Control (IFOC); Induction motor drive; Mamdani fuzzy controller; Proportional Integral (PI) controller; Rotor flux Model Reference Adaptive system (RF-MRAS); Takagi Sugeno (TS) fuzzy controller;
Conference_Titel :
India Conference (INDICON), 2014 Annual IEEE
Conference_Location :
Pune
Print_ISBN :
978-1-4799-5362-2
DOI :
10.1109/INDICON.2014.7030402