Metody řízení a diagnostika střídavých regulovaných pohonů

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Authors

Hudeček, Petr

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Publisher

Vysoká škola báňská - Technická univerzita Ostrava

Location

ÚK/Sklad diplomových prací

Signature

201400457

Abstract

This work presents some possibilities how to improve dynamics and the other features of a drive. The enhancement is based on improved real time control algorithm which is implemented into the frequency converter. This special control algorithm is also able to estimate induction motor parameters. These work first presents an analysis of the actual situation in this problematic. It means list of the most commonly used types of induction machines with an assessment of their suitability. Follows a description of two drive control strategies (vector control and direct torque control), which today are mostly used in the high performance drives. There are also described the general dividing of induction motor electrical parameters estimation methods. In the end of this analysis are discussed and compared the main advantages, disadvantages and differences of the drive control strategies and estimation methods. This analysis provides the basis for the choose of several complex mathematical procedures which can estimate induction motor parameters in real time and at the same time are suitable for implementation in vector control. All chosen procedures in this work are verified in MATLAB/SIMULINK simulations. For better demonstrativeness of the results the waveforms are measured on the laboratory prototype stand too. All real waveforms are measured at two different induction motors. Unknown parameters of the induction motor can be found by the several mathematical procedures. In this work are described two possible ways. The recursive least squares method and the method using the genetic algorithms. The main advantages and disadvantages of both methods are considered subsequently. At the conclusion of this work are compared all the measured and simulated results.

Description

Import 15/01/2013

Subject(s)

estimation of parameters, induction motor, vector control, recursive least squares method, genetic algorithm, eZdspTM F28335 kit, estimation of electrical parameters of induction motor in alfa, beta coordinate system, estimation of electrical parameters of induction motor in d, q coordinate system, rotor coordinate system, stator coordinate system

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