Litcius/Paper detail

Rotor Position Estimation Method of Brushless Electrically Excited Synchronous Starter/Generator Based on Multistage Structure

Rui Wang, Weiguo Liu, Tao Meng, Ningfei Jiao, Xu Han, Chenghao Sun, Yang Yang

2021IEEE Transactions on Power Electronics20 citationsDOI

Abstract

This article proposes a rotor position estimation method for brushless electrically excited synchronous starter/generator (BEESSG) at low speed region. Based on the multistage characteristics of BEESSG, two high frequency pulsating voltages with different frequencies are injected into phase <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\alpha$</tex-math></inline-formula> and phase <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\beta$</tex-math></inline-formula> of stator of the main machine simultaneously. The rotor position is estimated by the high frequency induced signals extracted from the stator windings of the main exciter through a position estimator. Low-pass filters are replaced by an auxiliary square wave sampling method to demodulate the rotor position from high frequency induced signals. Due to the amplitude unbalance of demodulated position related signals. A novel first quadrant definite integral method is proposed in this article for position compensation. Furthermore, the effectiveness and feasibility of the proposed method are verified by experimental results.

Topics & Concepts

Rotor (electric)StatorDemodulationPosition (finance)ExciterControl theory (sociology)Generator (circuit theory)ResolverElectromagnetic coilComputer scienceMathematicsAlgorithmElectrical engineeringPhysicsEngineeringArtificial intelligenceEconomicsControl (management)Power (physics)Quantum mechanicsChannel (broadcasting)FinanceElectric Motor Design and AnalysisSensorless Control of Electric MotorsMagnetic Bearings and Levitation Dynamics