Title :
An improved direct torque control using fuzzy logic controllers and adaptive observer
Author :
Saberi, Hossein ; Sharifian, Mohammad Bagher Bannae
Author_Institution :
Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz, Iran
Abstract :
Simple structure, quick, and robust response of direct torque control (DTC) make it attractive in ac drives. However, in sensorless applications, precise estimation of rotor speed is a crucial issue as well as the torque and flux estimation. In this paper an adaptive flux observer is introduced with stator current and flux vector components as state variables and rotor speed as an unknown parameter which are estimated simultaneously using an adaptive scheme. Also torque, flux, and current pulsations during steady state are considered as the disadvantages of the classical DTC method. A combined DTC-SVM strategy is presented using fuzzy logic control (FLC). Fuzzy logic controllers are designed such that obtain a fast response for dynamic performance, and high accuracy in steady state.
Keywords :
AC motor drives; angular velocity control; control system synthesis; fuzzy control; rotors; stators; torque control; vectors; AC drives; DTC-SVM strategy; adaptive observer; alternating current; direct torque control; flux estimation; flux vector; fuzzy logic controller design; rotor speed; sensorless application; space vector modulation; state variable; stator current; torque estimation; Fuzzy logic; Niobium; Observers; Rotors; Stators; Steady-state; Torque; Lyapunov theory; adaptive observer; fuzzy logic control; space vector modulation(SVM); speed sensorless drive;
Conference_Titel :
Computer and Knowledge Engineering (ICCKE), 2012 2nd International eConference on
Conference_Location :
Mashhad
Print_ISBN :
978-1-4673-4475-3
DOI :
10.1109/ICCKE.2012.6395357