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Sensorless Control of Synchronous Reluctance Machines and Permanent Magnet Synchronous Machines for Pump Applications
KTH, School of Electrical Engineering and Computer Science (EECS).
2023 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Sensorlös reglering av synkrona reluktansmaskiner och permanentmagnetmaskiner för pumptillämpningar (Swedish)
Abstract [en]

Energy efficiency in electric machines is both environmentally and economically important. Water pumps with an integrated Variable Frequency Drive (VFD) and a Permanent Magnet Synchronous Machine (PMSM) have challenged the status quo of the Induction Machine (IM) for water pumps. The Synchronous Reluctance Machine (SynRM) is also a viable alternative that does not use permanent magnets. This degree project focuses on the control of SynRM, with particular attention on sensorless control methods. Simulation models for a SynRM and a Surface Permanent Magnet Synchronous Machine (SPMSM), together with their control systems, were developed in MATLAB Simulink. Two sensorless control methods were implemented and examined: the Luenberger state observer and the Model Reference Adaptive System (MRAS). The control system was adapted to use sensorless control methods. The investigated sensorless control methods allowed the application of the speed-torque test profile for two method and motor type combinations, without causing instability. The Luenberger observer was stable with the SPMSM and the MRAS with the SynRM. Parameter sensitivity with respect to the variation of inductance and stator resistance values used by the sensorless methods was also tested. The Luenberger observer kept the control system stable with up to a ±5 % variation of inductance. The MRAS kept the control system stable down to −12 %, but only up to +2 % for an overestimation of the inductance. The variation of stator resistance had a limited impact on the stability of both sensorless schemes.

Abstract [sv]

Energieffektivisering av elektriska maskiner är betydelsefullt både ur ett miljömässigt och ekonomiskt perspektiv. Vattenpumpar med en synkron permanentmagnetsmaskin och en integrerad enhet för variabel hastighetsreglering (VFD) utmanar den mer konventionella lösningen baserad på en asynkronmaskin (IM). Den synkrona reluktansmaskinen (SynRM) är ett annat lämpligt alternativ som inte använder permanentmagneter. Det här examensarbetet behandlar huvudsakligen sensorlös reglering av SynRM. Simuleringsmodeller för reglering av en SynRM och en permanentmagnetiserad synkronmaskin med ytmonterade magneter (SPMSM) utvecklades i MATLAB Simulink. Två metoder för sensorlös reglering undersöktes, en på Luenbergers tillståndsobservatör och en baserad på adaptiv modellreferensreglering (MRAS). Systemet för reglering anpassades till metoderna för sensorlös reglering. De undersökta sensorlösa metoderna testades vid nominell hastighet med steg i vridmoment och hastighet. Luenberger observatören kunde köras med bibehållen stabilitet med en SPMSM och MRAS kördes med en SynRM, också den med bibehållen stabilitet. Även känsligheten för variationer i induktans och statorresistans för de sensorlösa reglermetoderna testades. Luenberger observatören kunde bibehålla stabiliteten med en variation i induktans på ±5 %. MRAS kunde bibehålla stabiliteten ner till en estimering av induktansen på −12 % av induktansen. På uppsidan nådde dock MRAS stabilitet endast upp till en överestimering av induktansen på 2 %. Felestimering av statorresistansen hade minimal påverkan på stabiliteten för båda sensorlösa reglermetoderna.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology , 2023. , p. 50
Series
TRITA-EECS-EX ; 2023:758
Keywords [en]
Variable speed drives, Sensorless control, Luenberger observer, Synchronous reluctance machine, Permanent magnet synchronous machines, Vector control, Model reference adaptive system
Keywords [sv]
Variabel hastighetsreglering, Sensorlös reglering, Luenberger observatör, Synkron reluktansmaskin, Permanentmagnetmaskin, Vektorreglering, Adaptiv modelreferensreglering
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-339905OAI: oai:DiVA.org:kth-339905DiVA, id: diva2:1813700
External cooperation
Xylem Water Solutions Global Services AB
Subject / course
Electrical Engineering
Presentation
2023-08-31, Sten Velander, Teknikringen 33, Stockholm, 09:00 (English)
Supervisors
Examiners
Available from: 2023-12-07 Created: 2023-11-21 Last updated: 2023-12-07Bibliographically approved

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