Sensorless control of PMSM with parameters uncertainties
Author
D'Alessio, Marcello
Term
4. term
Education
Publication year
2016
Submitted on
2016-04-05
Abstract
This thesis investigates sensorless control of permanent‑magnet synchronous machines (PMSMs) under uncertainties in machine and drive parameters. It centers on reconstructing rotor position and speed by estimating the back electromotive force (back‑EMF) with a fundamental‑frequency model, eliminating the need for mechanical sensors. After modeling the PMSM drive and stating the problem, the work introduces field‑oriented control and the motivation for sensorless operation. It describes back‑EMF‑based estimation and analyzes the Matsui Second method and an extension by Nahid‑Mobarakeh through theoretical and numerical evaluations, with particular attention to the effects of parameter mismatches. A model‑based online parameter‑estimation technique is presented and tested in simulation. The sensorless algorithm is then implemented on a laboratory test platform and evaluated experimentally.
Denne afhandling undersøger sensorløs styring af permanentmagnet-synkronmaskiner (PMSM) under usikkerhed i maskin- og systemparametre. Fokus er at genberegne rotorens position og hastighed ved at estimere modspændingen (back‑EMF) med en grundfrekvensmodel, så behovet for mekaniske sensorer bortfalder. Efter modellering af PMSM-drivsystemet og problemformuleringen introduceres feltorienteret styring og motivationen for sensorløs drift. Derpå beskrives back‑EMF‑baseret estimering, og Matsui Second‑metoden samt en udvidelse foreslået af Nahid‑Mobarakeh analyseres teoretisk og numerisk med særlig fokus på virkningen af parametermismatch. En modelbaseret online parameterestimeringsteknik præsenteres og afprøves i simuleringer. Den sensorløse algoritme implementeres endeligt på en laboratorietestplatform og evalueres eksperimentelt.
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