Model Predictive Controller Utilized as an Observer for Inter-Turn Short Circuit Detection in Induction Motors

Date

2020-12-01

Author

Şahin, İlker
Keysan, Ozan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

313
views

0
downloads

In this paper, a novel and non-invasive stator inter-turn short circuit (ITSC) online detection method is presented for an induction machine (IM), driven by a two-level voltage source inverter (2L-VSI) via finite control set model predictive control (FCS-MPC). The main idea of the proposed method is to utilize the controller itself as an observer: under the presence of a fault, the distribution of inverter switching states significantly deviates from the original balanced case. Therefore, by inspecting the inverter switching vectors, which are the outcomes of the online optimization procedure of the FCS-MPC routine, a stator fault can be detected efficiently. It is observed that both the zero-vector allocation over the complex plane and the allocation among the active vectors are influenced by the presence of a stator short-circuit fault. The proposed fault detection strategy introduces little to no extra burden for processor and memory. Experimental results verify the proposed method and inter-turn short circuits of two and three turns are confidently detected and located for a 500 W, two-pole IM.

Subject Keywords

Fault diagnosis, condition monitoring, finite control set model predictive control (FCS-MPC), inter-turn short circuit (ITSC), inverter statistics

URI

https://ieeexplore.ieee.org/document/9310277
https://hdl.handle.net/11511/89528

Journal

IEEE Transactions On Energy Conversion

DOI

https://doi.org/10.1109/tec.2020.3048071

Collections

Department of Electrical and Electronics Engineering, Article

Suggestions

OpenMETU
Core

Model Predictive Control for a PUC5 based Dual Output Active Rectifier Makhamreh, Hamza; Trabelsi, Mohamed; Kukrer, Osman; Abu-Rub, Haitham (2019-01-01) In this paper, an effective finite-control-set model predictive controller (FCS-MPC) is proposed for an active dual output rectifier. The topology under study is a 5-level packed U cells (PUC5) rectifier. The optimized cost function is designed based on the capacitors' voltages and current errors. The Capacitors' reference voltages and the peak value of the reference grid current are used to normalize the errors within the cost function. The peak value of the current reference is generated by a PI controlle...
Model predictive torque control of an induction motor enhanced with an inter-turn short circuit fault detection feature Şahin, İlker; Keysan, Ozan; Ertan, Hulusi Bülent; Department of Electrical and Electronics Engineering (2021-9-9) Model predictive control (MPC) is a popular research topic in modern power electronics and it has been applied to a large variety of power converters and electric drives. The reason behind this interest in MPC is the advantages that it offers: intuitive and flexible algorithm, fast dynamic response, ease of handling converter nonlinearities, and system constraints, to name a few. In this thesis, MPC is applied to the torque control of an induction motor (IM). Involving both the theoretical foundation, compu...
Comparison of Matrix Converter Induction Motor Drive Control Methods Lettl, Jiri; Kuzmanovic, Dragan; Fligl, Stanislav (2011-09-10) In this paper, the implementation of the Field Oriented Control and the Direct Torque Control in matrix converter supplied induction motor drives is analysed, and compared with the implementation in drives supplied by the Voltage Source Inverter. The analysis is accompanied by the results of numerical simulations and experimental implementations of these two control methods.
Adaptive Nonlinear Control Combined With Unscented Kalman Filter for Permanent Magnet Synchronous Motor Fed by AC/DC/AC Converter Titaouine, A.; Taibi, D.; Bennis, O.; Benchabane, F.; Boumaraf, R.; Yahia, K. (2011-09-10) In this paper, a adaptive non-linear controller is presented for permanent magnet synchronous motor (PMSM) sensorless drives. The adaptive non-linear controller is designed based on an input-output feedback linearization control technique. The unscented Kalman filter is used to estimate the speed, position and load torque. The PMSM is fed by an indirect power electronics converter. This indirect converter is controlled by a sliding mode technique that enables minimization of harmonics introduced by the line...
High performance closed-loop analog readout circuit for capacitive MEMS accelerometers Terzioğlu, Yunus; Akın, Tayfun; Department of Electrical and Electronics Engineering (2015) In this thesis, a closed-loop analog readout circuit for capacitive MEMS accelerometers is introduced. The detailed analysis of the dynamics of the proposed accelerometer is presented along with the associated simulation models. The theoretical investigation of each building block of the accelerometer is also presented in detail and supported by the corresponding formulas. The implemented accelerometer is shown to satisfy the estimated performance parameters with measurements conducted using various test se...

Citation Formats

İ. Şahin and O. Keysan, “Model Predictive Controller Utilized as an Observer for Inter-Turn Short Circuit Detection in Induction Motors,” IEEE Transactions On Energy Conversion, pp. 1–6, 2020, Accessed: 00, 2021. [Online]. Available: https://ieeexplore.ieee.org/document/9310277.