An MRAS Observer-Based Speed Sensorless Control Method for Dual-Cage Rotor Brushless Doubly Fed Induction Generator

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Project Code :TEPGPS594

Objective

The main objective of this paper is to control of Dual-Cage Rotor Brushless Doubly Fed Induction Generator with MRAS observer method

Abstract

In this paper a model reference adaptive system (MRAS) speed observer based on the power winding (PW) active power and reactive power for dual-cage rotor brushless doubly fed induction generator (DCR-BDFIG). The mathematical relationship between the PW current and control winding (CW) current is derived first. Then, to reduce costs and to improve the reliability, a PW power-MRAS-based speed observer is designed with the stability analyzed. In the proposed speed observer, the PW power is selected as the reference model since it is relatively readily available and smooth due to the clamped PW voltage under grid-connected condition. In addition, only the CW current is required to be measured for the estimated PW power of the adaptive model, being simple and easy implemented.


Index Terms—Brushless doubly fed induction generator (BDFIG), grid-connected system, model reference adaptive system (MRAS), speed sensorless control.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Software Configuration:

Operating System :  Windows 7/8/10

Application Software :  Matlab/Simulink

Hardware Configuration:

RAM :  8 GB

Processor :  I3 / I5(Mostly prefer)

Learning Outcomes

  • Introduction to Matlab/Simulink
  • What is EISPACK & LINPACK
  • How to start with MATLAB
  • About Matlab language
  • About tools & libraries
  • Application of Matlab/Simulink
  • About Matlab desktop
  • Features of Matlab/Simulink
  • Basics on Matlab/Simulink
  • Introduction to controllers.
  • Study of PWM techniques.
  • Project Development Skills:
    • Problem analyzing skills
    • Problem solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills
    • Thesis writing skills

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