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Learning improvement by using matlab simulator in advanced electrical machine laboratory

Zeinolabedin Moussavi, A. S ; Sharif University of Technology

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  1. Type of Document: Article
  2. Abstract:
  3. This paper presents how can teach complicated problems in electrical engineering subjects (electrical machines) by using simulators such as MATLAB/SIMULINK. Simulation of direct vector control of induction machine (IM) drive on the rotor flux direction with composite model flux observer can improve electrical machine teaching-learning procedure for graduated and under graduated levels. In the indirect vector control of IM, current reference values are used for estimation angle of the rotor flux space vector (ARFSV), however using current reference values instead of current real values can decrease accuracy of ARFSV. In the direct vector control, current real values (current feedback) estimate the ARFSV. The ARFSV estimation can be performed by current model flux observer and voltage model flux observer. These observers have their own limitations. The composite model improves into some extent disadvantages of every individual ones. Simulation of composite model is applied to induction machines and obtained results compare to the classical current and voltage models. The composite model approach shows remarkable advantages over those classic ones, i.e. speed control over wide range of motor operation and enough short settling time. All these remarkable advantages support application of composite model in ARFSV
  4. Keywords:
  5. Education of composite model flux observer ; Estimation angle of the rotor flux space vector ; Learning Induction Machine (IM) drive ; Composite models ; Current feedback ; Current models ; Current reference ; Direct vector control ; Electrical machine ; Flux observers ; Indirect vector control ; Induction machines ; Real values ; Rotor fluxes ; Settling time ; Space vector ; Teaching-learning ; Voltage model ; Voltage model flux observer ; Electric machinery ; Electrical engineering ; Estimation ; MATLAB ; Rotors (windings) ; Teaching ; Vector spaces ; Vectors ; Computer simulation
  6. Source: RPC 2010 - 1st Russia and Pacific Conference on Computer Technology and Applications, 6 September 2010 through 9 September 2010 ; 2010 , Pages 107-116