Title :
Speed Sensorless observer using Lyapnov design and ANFIS for DTC of magnetically saturated induction motor
Author :
Ismail, Mohamed Mahmoud
Author_Institution :
Electr. Power & Machine Dept., Helwan Univ., Helwan, Egypt
Abstract :
The problem of controlling the π-model induction motor with magnetic saturation is considered in this proposed research. DTC of induction motor have been developed since 1980, many techniques have been proposed to improve the performance of the induction machines that using the DTC drives in industry but all the previous models are using the linear model of the machine for approximation which is not the exact model and we are not guarantee that the process is not work in the saturation region of the flux specially in large rating of induction machines. In this paper we introduce an speed observer using Lyapnov design and compared with a one using ANFIS design as well as the classical flux observer that used with DTC technique. Simulation result show that the speed observer have a good performance with variation of speed reference.
Keywords :
Lyapunov methods; adaptive control; angular velocity control; control system synthesis; fuzzy control; fuzzy reasoning; induction motors; neurocontrollers; observers; sensorless machine control; torque control; π-model induction motor; ANFIS design; DTC technique; Lyapunov design; adaptive neuro fuzzy inference systems; direct torque controlled; flux observer; induction machine performance improvement; magnetic saturation; speed reference variation; speed sensorless observer; Computer languages; Mathematical model; Saturation magnetization; Variable speed drives; Adaptive Neuro Fuzzy Inference Systems (ANFIS); DTC; Induction Motor; Magnetically Saturated Motors; lyapnov stability;
Conference_Titel :
Computer Engineering Conference (ICENCO), 2011 Seventh International
Conference_Location :
Giza
Print_ISBN :
978-1-4673-0730-7
DOI :
10.1109/ICENCO.2011.6153934