Litcius/Paper detail

Signal-Injection Sensorless Control of Synchronous Reluctance Machines for Overload Operation

Anantaram Varatharajan, Gianmario Pellegrino, Eric Armando

2021IEEE Transactions on Power Electronics20 citationsDOI

Abstract

Signal-injection sensorless control for low speeds region are usually assisted with compensation techniques to support the heavy load operations beyond rated conditions. For the standard <inline-formula><tex-math notation="LaTeX">$d$</tex-math></inline-formula>-axis pulsating voltage injection, this article analyzes the prospect of using <inline-formula><tex-math notation="LaTeX">$q$</tex-math></inline-formula>-axis current-model flux instead of the <inline-formula><tex-math notation="LaTeX">$q$</tex-math></inline-formula>-axis current for decoupled position estimation. Through convergence analysis, the feasibility of operation at overload is evaluated for the decoupled scheme against the state-of-art compensation technique and is shown to be a promising candidate for its simplicity and the lack of <i>preprocessing</i> of flux-map. All claims are experimentally validated on a 1.1&#x00A0;kW synchronous reluctance machine test-bench.

Topics & Concepts

Magnetic reluctanceNotationControl theory (sociology)Convergence (economics)Compensation (psychology)PreprocessorSIGNAL (programming language)Current (fluid)VoltagePosition (finance)Test benchMathematicsComputer scienceEngineeringArithmeticElectrical engineeringControl (management)Programming languagePsychoanalysisArtificial intelligenceEconomicsFinanceMagnetPsychologyEconomic growthElectric Motor Design and AnalysisSensorless Control of Electric MotorsMultilevel Inverters and Converters