Donetsk National Technical University


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Маsters DonNTU Metelenko Alina Vladimirovna

 

Metelenko

Аlina


 

Electrical Faculty

Specialty: Electromechanical Automation and Electric System


                  Subject of graduation work: Study of algorithms for indirect speed control of AC motors

Scientific adviser: Chekavskiy Gleb


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            Topicality

              Currently, all the more common practice acquire actuators based AC motors, especially - induction motors (IM) and synchronous motors with permanent magnets on the rotor (PSDM). Depending on the specific conditions of the electric drive system (EP) may be brought requirements for the absence of mechanical sensors on the motor shaft. This problem usually occurs agreement requirements for the accuracy of the system and the dynamic properties specific to a given process.

            Objectives:

              Investigate algorithms indirect control of the speed AC motors.

            Introduction:

              Under the indirect speed control means to achieve the set parameters of accuracy of speed regulation without directly measuring it. Depending on the requirements for static and dynamic characteristics of the system may use both scalar and vector management principle. In scalar control the task of ensuring the required accuracy can be solved without using speed sensor simply (compensation statism, improving the control law) to the achievement of a range of speed regulation up to 10:1, but the dynamic properties of the system is not specifically controlled. More interesting is the problem of indirect control of the speed in the systems of vector control, when to ensure the quality of both static characteristics and transient. Range of speed regulation in this case practically does not exceed 50:1.

            Investigating the accuracy of identifiers speed

              There are methods of identifying the rate is divided into 5 groups [1]:

               • non-adaptive methods (rate calculated using the available measuring coordinates, for example, current and voltage);

              • adaptive methods (using closed observers);

              • Methods based on structural features of engines;

              • nonlinear methods based on the theory of neural networks;

              • methods using additional high-frequency signals or other additional information.

             In the abstract results investigating the accuracy of the calculation speed with the help of mathematical models of flow (IDs), which are based on the mathematical relation stress, EMF, current motor with its speed. Asynchronous motor processes of nature, it is most similar to the generalized electric machine, therefore the study of ways to identifyspeed appropriate to carry out first on the example of IM.

            Conclusion:

             Analysis of the graphs shows that the most accurate method of identification was in accordance with Method 3, but it should be noted that it gives a higher absolute error of the rate in the initial period of direct start. The remaining identifiers are static, ie. yield steady-state error rate of identification in different modes raboty.V result of research was also obtained that the method 3 gives the lowest sensitivity to changes in the parameters of blood pressure, but a way to 1 - the greatest. When writing this Autosummary master work was not completed. The final work can be obtained from the author or supervisor after December 2010.

            Review References:

  1. Виноградов А.Б. Векторное управление электроприводами переменного тока.-Иваново, 2008., 298 с.
  2. Башарин А. В., Новиков В. А., Соколовский Г. Г. Управление электроприводами: Учебное пособие для вузов.— Л.: Энергоиздат. Ленингр. отд-ние, 1982. — 392 с.
  3. Толочко О.И. Использование пакета Matlab и его расширения Simulink при исследовании систем электропривода, Методическое пособие (для студентов специальности 7.0922.08). – Донецк: ДонГТУ, 1999. – 87 с.
  4. Методичний посібник до самостійної роботи з дисципліни “Моделювання електромеханічних систем” (для студентів спеціальності 7.0922.08 «Електромеханічні системи автоматизації і електропривод» очно-заочної форми навчання)., Укл.: О.І. Толочко, Г.С. Чекавський, О.В. Песковатська, П.І. Розкаряка. Донецьк: ДонНТУ, 2006. – 96 с.
  5. Friedland B.A. Nonlinear observer for estimating parameters in dynamic systems // Automatica. – 1997. – Vol.33 – №8. – Pp. 1525 – 1530.
  6. Behal A., Feemster M., Dawson D.M., and Mangal A. Partial State Feedback Control of Induction Motors with Magnetic Saturation: Elimination of Flux Measurements. Department of Electrical and Computer Engineering Riggs Hall, Clemson University Clemson, 1999.
  7. Казачковский, Комплектні електроприводи, - Дніпропетровськ, Обліково-видавн., 2003 - 224с.
  8. Виноградов А.Б., Векторное управление ЭП переменного тока, ГОУВПО "Ивановский государственный энергентический университет им.В.И. Ленина", Иваново, 2008, 298с.
  9. Герман-Галкин С.Г., Компьютерное моделирование в Matlab, - СПб: КОРОНА принт, 2001. - 320с.
  10. Соколовский Г.Г.,Электроприводы переменного тока с частотным регулированием, -265с.
  11.              

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