An Encoderless Predictive Torque Control for an Induction Machine With a Revised Prediction Model and EFOSMO

• Published in: IEEE transactions on industrial electronics (1982) Vol. 61; no. 12; pp. 6635 - 6644
• Main Authors: Fengxiang Wang, Zhenbin Zhang, Alireza Davari, S., Fotouhi, Reza, Arab Khaburi, Davood, Rodriguez, Jose, Kennel, Ralph
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Disturbances; Fasteners; Induction machines; Induction motors; Machine tools; Mathematical analysis; Mathematical model; Mathematical models; Observers; Predictive control; Rotor speed; Torque; Torque control; predictive control; Encoderless control; induction machine (IM)
• ISSN: 0278-0046; 1557-9948
• DOI: 10.1109/TIE.2014.2317140

The finite control state predictive torque control (FCS-PTC) method is known to produce a fast response. However, when compared with the direct torque control (DTC) method, which is inherently encoderless, the FCS-PTC method has a disadvantage because of its speed dependence. An encoderless FCS-PTC method that is based on a revised prediction model for an induction machine is proposed and experimentally verified in this paper. To observe the unmeasured variables, an encoderless full-order sliding-mode observer (EFOSMO) is applied. Neither the revised prediction model nor the EFOSMO uses the estimated rotor speed value. The disturbance injected by process of speed estimation in the usual encoderless predictive methods is removed from the system. The experimental results show that the proposed algorithm can work well and achieve good performance at a very wide range of speeds.