Unified Wide-Speed Sensorless Scheme Using Nonlinear Optimization for IPMSM Drives

This paper proposes a novel unified nonlinear optimization-based speed and position estimation algorithm for interior permanent magnet synchronous motor drives at wide speed range operations. A cost function based on the voltage equations in the stationary reference frame is employed for speed and p...

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Bibliographic Details
Published in:IEEE transactions on power electronics 2017-08, Vol.32 (8), p.6308-6322
Main Authors: Yingguang Sun, Preindl, Matthias, Sirouspour, Shahin, Emadi, Ali
Format: Article
Language:English
Subjects:
Algorithms
Convexity
Cost function
Electric potential
Feasibility studies
Frequency control
Frequency estimation
Interior permanent magnet synchronous motor (IPMSM) drives
Inverters
Low speed
MOSFET
motor control
Noise reduction
nonlinear optimization
Optimization
Permanent magnets
Phase locked loops
position sensorless
Silicon carbide
Support vector machines
Synchronous motors
Voltage control
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Summary:This paper proposes a novel unified nonlinear optimization-based speed and position estimation algorithm for interior permanent magnet synchronous motor drives at wide speed range operations. A cost function based on the voltage equations in the stationary reference frame is employed for speed and position estimation. The speed and position can be estimated by minimizing the cost function. At low speed, including the standstill condition, the cost function is modified and high-frequency sinusoidal voltage signals are injected in the estimated magnetic axis. A phase locked loop is combined with the proposed position estimator for reducing the noise of estimation results. Compared with existing sensorless methods, a unified estimator is used at low- and high-speed operations and a better performance is obtained in transient and steady-state conditions. The convexity of the cost functions with respect to the speed and position estimation errors is analyzed in the paper. The feasibility of the proposed estimation algorithm is validated with an experimental test bench.
ISSN:0885-8993
1941-0107
DOI:10.1109/TPEL.2016.2621064