Sensorless Control of Permanent Magnet Synchronous Machines - Derivation and Implementation
Master thesis
Date
2016Metadata
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- Institutt for elkraftteknikk [2495]
Abstract
This master project is a further investigation of the topics covered in the specializa-tion project Laboratory platform for PM machine drive study - Adaptive TorqueEstimation .
Permanent magnet synchronous machines have seen an increased popularity inrecent years. Some market analyses indicate that the industry is experiencing agradual shift from induction machines to permanent magnet machines. The ma-chine offer several advantages over the inductions machine. The rotor losses areminimal, as there is no excitation current in the rotor. Thus the overall efficiencyis improved. The machine offers higher torque density, lower weight, and highertorquetoinertiaratio,whichmayimprovethedynamicperformance. Althoughthepermanentmagnetmaterialsareexpensive,thelowoverallmaterialusagesuggestslower production costs.
In order to obtain the aforementioned advantages a power electronic converter isrequired to control the machine. Although many of the induction machines foundin industry are supplied by direct grid connection, the cost savings associated withthe increased efficiency of applying a motor drive is changing this trend. Thus therequirement of a motor drive should no longer be considered a disadvantage of thesynchronous machine alone.
A lot of research effort has been put into developing control algorithms for electri-cal machines. In many cases the induction machine has been the initial study case,and later on the algorithms have been adapted to suit different machines.In order to accurately evaluate the performance of various motor control algo-rithms, a laboratory platform of a permanent magnet synchronous motor drive hasbeen designed in this project. Several practical aspect regarding cooling require-ments, safety functions, gate driver design, controller and measurement interfacehave been considered. The platform is also intended as a base for future researchand development.
Three different control algorithms, field oriented control, direct torque control,and model predictive control have been evaluated. Additionally different modula-tion techniques for the inverter switches are covered. Theoretical derivations andpractical implementation is considered. The operation is evaluated by simulationand laboratory experiments.
Regardless of which motor control algorithm is selected, knowledge of the rotorflux position is required for efficient closed loop control. The use of position sen-sors on the motor shaft increases the cost of the drive, and reduces the reliability.
In order to address this issue, several position estimation algorithms for sensorlesscontrol have been evaluated.