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An ANN Optimal Preview Controller Technique for Induction Motor

An ANN Optimal Preview Controller Technique for Induction Motor. M. M. Negm A. H. Mantawy Dammam Tech. College KFUPM. Presentation Outlines. Introduction State Space Model of the Induction Motor

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An ANN Optimal Preview Controller Technique for Induction Motor

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  1. An ANN Optimal Preview Controller Technique for Induction Motor M. M. NegmA. H. Mantawy Dammam Tech. College KFUPM

  2. Presentation Outlines • Introduction • State Space Model of the Induction Motor • The Optimal Preview Controller • The ANN Training Approach • Simulation Results • Conclusions

  3. Dynamic Equation of the IM

  4. Dynamic Equation of the IM

  5. State Space Model of the IM

  6. Error System

  7. The Optimal Preview Controller  Jn = [ X(k+1) t Q X(k+1) + U(k) t R U(k) ] k=0 k u(k) = g1 e(i) + (g2  g1 ) e(k) + g3 x(k) + g4 u(k-1) i=0 M +{Fri[R(k+i)R(i)]+Fdi[d(k+i1)d(i-1)]} i =1 M U(k) = G X(k) + G1 W(k+1) + Gj [K1]j-2 W(k+j) j=2

  8. The ANN Training Approach

  9. Simulation Results

  10. Simulation Results

  11. Conclusions • An ANN-OPC technique for on-line speed control of a three-phase IM is presented in this paper. • The back propagation algorithm is used in the ANN training. • The training data are selected from the OPC. • The system model of the IM based ANN-OPC is composed of three-input and three-output object. • The robustness of the proposed technique is demonstrated in the presence of external disturbances. • Coincidental results between the OPC output and the ANN-OPC test results are obtained.

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