Title
Convex Optimization-Based Sensorless Control for IPMSM Drives with Reduced Complexity
Abstract
This paper proposes a simplified convex optimization-based sensorless scheme for interior permanent magnet synchronous motor (IPMSM)drives. The computational burden of the existing convex optimization-based method is significantly reduced by a single variable cost function, which is based on the machine voltage equations in the stationary reference frame. With less computation, the proposed method provides good performance characteristics similar to the existing one, e.g., dynamic speed response and smooth transition between the low and high-speed ranges. The convergence capability of the cost function is also confirmed by a convexity analysis. The feasibility of the control technique is experimentally validated in a test bench, demonstrating the accuracy of the technique and its reduced computational burden.
Year
DOI
Venue
2018
10.1109/IECON.2018.8591475
IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
Keywords
Field
DocType
Convex optimization,cost function,electric motor drives,interior permanent magnet synchronous motors (IPMSM),motor control,position estimation,sensorless operation
Convergence (routing),Phase-locked loop,Convexity,Stationary Reference Frame,Test bench,Control theory,Voltage,Engineering,Convex optimization,Computation
Conference
ISSN
ISBN
Citations 
1553-572X
978-1-5090-6685-8
0
PageRank 
References 
Authors
0.34
2
4
Name
Order
Citations
PageRank
Diego F. Valencia100.34
Le Sun257375.51
Matthias Preindl3435.77
A. Emadi415031.22