DOI

This paper is devoted to frequency estimation of a non-stationary sinusoidal signal. The amplitude is supposed to be a known function within a constant factor, the phase should be known. Example of such problem statement is sensorless angular velocity estimation for permanent magnet synchronous motors. On the first step by reparametrization, a third order linear regression model is obtained. On the next step, an estimation algorithm is constructed based on a standard gradient approach. The frequency estimate can be computed from one of the model parameters using inverse trigonometric functions. To improve estimates quality for noisy measurements we propose a new identification method, which can be tuned to attenuate the noise influence. It is shown that the frequency estimation error converges to zero exponentially fast. The described algorithm does not require measuring or calculating derivatives of the input signal. The efficiency of the proposed approach is demonstrated through the set of numerical simulations.

Язык оригиналаанглийский
Страницы (с-по)663-668
Число страниц6
ЖурналIFAC-PapersOnLine
Том51
Номер выпуска32
DOI
СостояниеОпубликовано - 2018
Событие17th IFAC Workshop on Control Applications of Optimization - Россия, Yekaterinburg, Российская Федерация
Продолжительность: 15 окт 201819 дек 2018
Номер конференции: 17
https://www.ipu.ru/node/43678

    Предметные области Scopus

  • Системотехника

ID: 76547968