Observer based parallel IM speed and parameter estimation | Zendy

Sasa Skoko | Zendy; Darko Marčetić | Zendy; Veran Vasić | Zendy; Djura Oros | Zendy

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Observer based parallel IM speed and parameter estimation

Author(s) -

Sasa Skoko,

Darko Marčetić,

Veran Vasić,

Djura Oros

Publication year - 2014

Publication title -

serbian journal of electrical engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.133

H-Index - 5

eISSN - 2217-7183

pISSN - 1451-4869

DOI - 10.2298/sjee1403501s

Subject(s) - observer (physics) , control theory (sociology) , rotor (electric) , induction motor , estimation theory , vector control , signal (programming language) , state observer , computer science , component (thermodynamics) , engineering , algorithm , physics , voltage , nonlinear system , electrical engineering , artificial intelligence , control (management) , quantum mechanics , thermodynamics , programming language

The detailed presentation of modern algorithm for the rotor speed estimation of an induction motor (IM) is shown. The algorithm includes parallel speed and resistance parameter estimation and allows a robust shaft-sensorless operation in diverse conditions, including full load and low speed operation with a large thermal drift. The direct connection between the injected electric signal in the d-axis and the component of injected rotor flux were pointed at. The algorithm that has been applied in the paper uses the extracted component of the injected rotor flux in the d-axis from the observer state vector and filtrated measured electricity of one motor phase. By applying the mentioned algorithm, the system converges towards the given reference. [Projekat Ministarstva nauke Republike Srbije, br. III 42004

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