Issue 4(44), 2016

DOI 10.21440/2307-2091-2016-4-72-75

Usage of invariant immersion filters in sensorless system of vector control of PMSM pdf


G. T. Khaphizov, D. A. Kurnosov, S. G. Voronin

With each year, electrical drives occupy a bigger place in the life of a person. In medicine, construction, rescue work, military, scientific, industrial, in processing and many others. There are almost no areas, spheres of life where electrical drives aren’t used and rectifier drive starts taking up leading position. Rectifier drive based on permanent-field synchronous motor is a locked system of automatic control, feedbacks on phase currents and voltages usually, as well as mechanical coordinates, such as rotor turn angle, rotational speed and momentum at the rotor shaft. Oftentimes finished electrical drive is quite an expensive device. Detectors of mechanical coordinates are one of the most expensive elements and a crucial task is to build sensorless electrical drive. There are also oftentimes problems during design of rectifier drive, when there is no physical access for measuring the mechanical coordinates. In such cases it is necessary to implement an estimation device which should correctly function not only in static modes but also during transition processes. Sensorless diagram of vector control of PMSM based on non-linear estimating
filters of invariant immersion is considered during this work. Usage of estimating filters of invariant immersion allows withdrawing from measuring mechanical coordinates, not only in static modes but in dynamics. Decision structure of this problem is to analyze the system of PMSM combined equation; invariant immersion filter synthesis; in order to estimate the mechanical coordinates; reduced-order invariant immersion filter synthesis; mathematic modeling for the purpose of analyzing
and comparing their functioning and application to rectifier drive. During the work the following was received: full order invariant immersion filter; lower order invariant immersion filter; results of work simulation of estimating filters are given.

Keywords: filter of full order invariant immersion; filter of invariant immersion of lowered order; PMSM; vector control; sensor-less control; synchronous motor with permanent magnets.

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