AN OBSERVER BASED ON-LINE ROTOR SPEED ESTIMATION TECHNIQUE FOR A VECTOR CONTROLLED INDUCTION MACHINE DEBASHIS CHATTERJEE, ...
Introduction <ul><li>Problem at low speed due to limits of the frequency to voltage converter. </li></ul><ul><li>Kalman fi...
<ul><li>  AN  OBSERVER BASED  ON-LINE ROTOR SPEED ESTIMATION TECHNIQUE FOR A VECTOR CONTROLLED INDUCTION MACHINE </li></ul...
AN OBSERVER BASED  ON-LINE ROTOR SPEED ESTIMATION TECHNIQUE   FOR A VECTOR CONTROLLED INDUCTION MACHINE <ul><li>What is On...
AN  OBSERVER BASED  ON-LINE ROTOR SPEED ESTIMATION TECHNIQUE FOR  A VECTOR CONTROLLED INDUCTION MACHINE         <ul><li>Ma...
Proposed Speed Estimation Technique    <ul><li>Novel Rotor Speed Estimation method using MRAC to improve the performance o...
What is MRAC (Model Reference Adaptive Control ?  The idea behind Model Reference Adaptive Control is to create a closed l...
Advantages of using MRAC method in the proposed model  <ul><li>Easy to design. </li></ul><ul><li>Improves the performance ...
Block Diagram of MRAC Technique
Algorithm of the Proposed Model NO YES NO YES
Literature Review part I Principal Equations: The rotor speed is given by,   ,  Where,   Is the Electromagnetic torque dev...
Simulation Results <ul><li>Simulation was done in MATLAB/SIMULINK environment for the estimation of rotor speed   </li></u...
Validation of the Proposed Model HP 2 R s 11.2 Rated Speed 1440 R r 8.45 Phase 3 L ls &  L lr 0.0886 Connection Delta L m ...
Conclusion <ul><li>the stator current is used as the state variable for estimating the speed.  </li></ul><ul><li>In the pr...
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An observer based rotor speed estimation technique for vector controlled induction machines

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The paper was accepted at IEEE International Symposium of Industrial Electronics 2008, Cambridge,UK, The paper describes an advanced rotor speed estimation technique using model adaptive reference control system.

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An observer based rotor speed estimation technique for vector controlled induction machines

  1. 1. AN OBSERVER BASED ON-LINE ROTOR SPEED ESTIMATION TECHNIQUE FOR A VECTOR CONTROLLED INDUCTION MACHINE DEBASHIS CHATTERJEE, AGNIPROTIM SEN & TRIDIBESH NAG By
  2. 2. Introduction <ul><li>Problem at low speed due to limits of the frequency to voltage converter. </li></ul><ul><li>Kalman filter is relatively complicated & require much powerful microprocessor. </li></ul><ul><li>None of the equation completely satisfy the demands for sensor less vector control, including speed range & stability with motor parameter variation. </li></ul><ul><li>Speed is obtained by the ripple generated in the stator voltages and currents. </li></ul>
  3. 3. <ul><li> AN OBSERVER BASED ON-LINE ROTOR SPEED ESTIMATION TECHNIQUE FOR A VECTOR CONTROLLED INDUCTION MACHINE </li></ul><ul><li>What is an observer? </li></ul><ul><li>Why it is used? </li></ul><ul><li>What is the advantage of using an Observer in a induction machine system ? </li></ul>
  4. 4. AN OBSERVER BASED ON-LINE ROTOR SPEED ESTIMATION TECHNIQUE FOR A VECTOR CONTROLLED INDUCTION MACHINE <ul><li>What is On-line Rotor Speed Estimation Technique? </li></ul><ul><li>Why it is Used? </li></ul><ul><li>Different Types of Estimation Techniques </li></ul>
  5. 5. AN OBSERVER BASED ON-LINE ROTOR SPEED ESTIMATION TECHNIQUE FOR A VECTOR CONTROLLED INDUCTION MACHINE <ul><li>Magnitude and Power Factor angle ( φ ) can be controlled . </li></ul><ul><li>Vector control method is widely used in controlling a induction machine. </li></ul><ul><li>Though Vector Control is a complicated process but controlling is very accurate </li></ul>
  6. 6. Proposed Speed Estimation Technique <ul><li>Novel Rotor Speed Estimation method using MRAC to improve the performance of a sensor less controller . </li></ul><ul><li>A New MRAC method is proposed in this paper that uses Stator Current as the State Variable for Estimating the Speed. </li></ul><ul><li>The Stator Current is Represented as a function of the first degree for the error value of the Speed Estimation. </li></ul><ul><li>Flux Observer Designed without any integrator and based on algebric equations involving the Measured & Filtered Signals. </li></ul>
  7. 7. What is MRAC (Model Reference Adaptive Control ? The idea behind Model Reference Adaptive Control is to create a closed loop controller with parameters that can be updated to change the response of the system to match a desired model.
  8. 8. Advantages of using MRAC method in the proposed model <ul><li>Easy to design. </li></ul><ul><li>Improves the performance of sensor less Vector Controller at a Low Speed & zero speed. </li></ul><ul><li>Hence Low speed and Zero speed Operation is possible. </li></ul><ul><li>The method is self adjusting or self tuning. </li></ul>
  9. 9. Block Diagram of MRAC Technique
  10. 10. Algorithm of the Proposed Model NO YES NO YES
  11. 11. Literature Review part I Principal Equations: The rotor speed is given by, , Where, Is the Electromagnetic torque developed
  12. 12. Simulation Results <ul><li>Simulation was done in MATLAB/SIMULINK environment for the estimation of rotor speed </li></ul><ul><li>The machine model parameters used for simulation is the same as the machine used for experiment. </li></ul><ul><li>The noise which is seen for the estimated speed is due to digital noise considered in the estimator. </li></ul>
  13. 13. Validation of the Proposed Model HP 2 R s 11.2 Rated Speed 1440 R r 8.45 Phase 3 L ls & L lr 0.0886 Connection Delta L m 0.0890
  14. 14. Conclusion <ul><li>the stator current is used as the state variable for estimating the speed. </li></ul><ul><li>In the proposed method, the stator current error is represented as a function of the first degree for the error value in the speed estimation. </li></ul><ul><li>the proposed method uses no integrator for the speed estimation. The filtered stator current and the stator voltage are used as input variables for the estimator. </li></ul><ul><li>But with this new method, the rotor time constant uncertainty still remains as a problem </li></ul><ul><li>The robustness of the proposed method as regards parameter variations was compared with that of MRAC methods & the superiority of the proposed method was verified by simulation and experiments in a low speed as well as in the higher speed region. </li></ul>
  15. 15. Thank You

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