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A Novel SPMSM Sensorless Drive Using Discrete-Time Synchronous-Frequency Adaptive Observer Under Low Frequency Ratio

Yanping Zhang, Zhonggang Yin, Xinping Cao, Yanqing Zhang, Jing Liu

2022IEEE Transactions on Power Electronics31 citationsDOI

Abstract

To improve the stability and accuracy of the estimated position using the conventional sliding mode observer (CSMO) under low frequency ratio (LFR), this article proposes a novel discrete-time synchronous-frequency adaptive observer (SFAO) for surface-mounted permanent magnet synchronous motor (SPMSM) sensorless drives. The proposed SFAO has merits of high amplitude and zero-phase lag of resonant controller at synchronous frequency. The sign function and the low-pass filter (LPF) of CSMO in the proposed observer can be removed and conducive to dispel the inherent chattering of the CSMO as well as phase shift produced by the LPF. Then, taking into account the digital control delay and discretization truncation error, an exact complex-vector discrete-time model in the stationary coordinate is developed. Based on that, the direct discrete-time domain design approach is utilized in the proposed observer, which can be devised by pole placement directly on complex <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">z</i> -domain to assure the stability and position estimation accuracy under LFR. Finally, the availability of the proposed discrete-time SFAO scheme is verified via experiments on a 2.1-kW SPMSM drive.

Topics & Concepts

Control theory (sociology)Observer (physics)Frequency domainDiscretizationComputer scienceDiscrete time and continuous timeLow-pass filterPosition (finance)Filter (signal processing)MathematicsPhysicsControl (management)EconomicsStatisticsQuantum mechanicsArtificial intelligenceFinanceComputer visionMathematical analysisSensorless Control of Electric MotorsIterative Learning Control SystemsAdaptive Control of Nonlinear Systems
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