Sensorless direct torque control of a permanent magnet brushless AC drive via an extended Kalman filter

2004 ◽  
Author(s):  
Y. Liu
Keyword(s):  
Kalman Filter ◽  
Permanent Magnet ◽  
Extended Kalman Filter ◽  
Direct Torque Control ◽  
Torque Control ◽  
Ac Drive

A Novel Sensorless Direct Torque Control Technique of Interior Permanent Magnet Synchronous Motor

2017 ◽  
Author(s):  
Saita Gurung ◽  
Xin Wang
Keyword(s):  
Kalman Filter ◽  
Permanent Magnet ◽  
Extended Kalman Filter ◽  
High Reliability ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Synchronous Motor ◽  
Torque Control ◽  
Control Technique ◽  
Interior Permanent Magnet

This paper presents a novel sensorless direct torque control of interior permanent magnet synchronous motor with resilient extended Kalman filter. In comparison to the field-oriented control scheme, direct torque control has advantages due to its simplicity (without Park’s transform or space-vector pulse-width-modulation), excellent transient response, high reliability and robustness. The interior permanent magnet synchronous motors have been extensively used in industrial applications due to their high efficiency, large torque to weight ratio, high performance and high reliability. Traditionally, the rotor position and speed of rotation are directly fed back through encoders or resolvers. In order to provide a more reliable and cost saving approach, the sensorless direct torque control of permanent magnet synchronous motor technique is proposed to eliminate the need of using encoders or resolvers. A novel nonlinear estimator, the resilient extended Kalman filter is proposed, which shows superior estimation accuracy compared with other estimation approaches such as extended Kalman filter. Computer simulation and DSP hardware implementation have been conducted to show the superior performance of the proposed approach.

Sensorless finite-state predictive torque control of induction motor fed by four-switch inverter using extended Kalman filter

2018 ◽  
Vol 37 (6) ◽  
pp. 2006-2024 ◽  
Author(s):  
Mohamed Chebaani ◽  
Amar Goléa ◽  
Med Toufik Benchouia ◽  
Noureddine Goléa
Keyword(s):  
Kalman Filter ◽  
Induction Motor ◽  
Extended Kalman Filter ◽  
Direct Torque Control ◽  
Operating Conditions ◽  
Torque Control ◽  
Switching Frequency ◽  
Content Type ◽  
Finite State ◽  
Torque Ripples

Purpose Direct Torque Control (DTC) of induction motor drives is a well-established technique owing to features such as fast dynamic and insensibility to motor parameters. However, conventional DTC scheme, based on comparators and the switching table, suffers from large torque and flux ripples. To improve DTC performance, this study aims to propose and implement a sensorless finite-state predictive torque control using extended Kalman Filter in dSPACE environment. Design/methodology/approach This paper deals with the design of an extended Kalman filter for estimating the state of an induction motor model and for sensorless control of systems using this type of motor as an actuator. A complex-valued model is adopted that simultaneously allows a simpler observability analysis of the system and a more effective state estimation. Findings Simulation and experimental results reveal that the drive system, associated with this technique, can effectively reduce flux and torque ripples with better dynamic and steady state performance. Further, the proposed approach maintains a constant switching frequency. Originality/value The proposed speed observer have been developed and implemented experimentally under different operating conditions such as parameter variation, no-load/load disturbances and speed variations in different speed operation regions.

Three-Level DTC Based on Fuzzy Logic and Neural Network of Sensorless DSSM Using Extended Kalman Filter

2015 ◽  
Vol 5 (4) ◽  
pp. 453 ◽  
Author(s):  
Elakhdar Benyoussef ◽  
Abdelkader Meroufel ◽  
Said Barkat
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Direct Torque Control ◽  
Synchronous Machine ◽  
Double Star ◽  
Torque Control ◽  
Operation Conditions ◽  
Stator Flux

This paper presents a direct torque control is applied for salient-pole double star synchronous machine without mechanical speed and stator flux linkage sensors. The estimation is performed using the extended Kalman filter known by it is ability to process noisy discrete measurements. Two control approaches using fuzzy logic DTC, and neural network DTC are proposed and compared. The validity of the proposed controls scheme is verified by simulation tests of a double star synchronous machine. The stator flux, torque, and speed are determined and compared in the above techniques. Simulation results presented in this paper highlight the improvements produced by the proposed control method based on the extended Kalman filter under various operation conditions.

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