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

Author(s):  
Saita Gurung ◽  
Xin Wang

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.

Author(s):  
Hanaa Elsherbiny ◽  
Mohamed Kamal Ahmed ◽  
Mahmoud Elwany

This paper presents a detailed analysis and comparative investigation for the torque control techniques of interior permanent magnet synchronous motor (IPMSM) for electric vehicles (EVs). The study involves the field-oriented control (FOC), direct torque control (DTC), and model predictive direct torque control (MPDTC) techniques. The control aims to achieve vehicle requirements that involve maximum torque per ampere (MTPA), minimum torque ripples, maximum efficiency, fast dynamics, and wide speed range. The MTPA is achieved by the direct calculation of reference flux-linkage as a function of commanded torque. The calculation of reference flux-linkage is done online by the solution of a quartic equation. Therefore, it is a more practical solution compared to look-up table methods that depend on machine parameters and require extensive offline calculations in advance. For realistic results, the IPMSM model is built considering iron losses. Besides, the IGBTs and diodes losses (conduction and switching losses) in power inverter are modeled and calculated to estimate properly total system efficiency. In addition, a bidirectional dc-dc boost converter is connected to the battery to improve the overall drive performance and achieve higher efficiency values. Also, instead of the conventional PI controller which suffers from parameter variation, the control scheme includes an adaptive fuzzy logic controller (FLC) to provide better speed tracking performance. It also provides a better robustness against disturbance and uncertainties. Finally, a series of simulation results with detailed analysis are executed for a 60 kW IPMSM. The electric vehicle (EV) parameters are equivalent to Nissan Leaf 2018 electric car.


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