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NEW INTELLIGENT ADAPTIVE CONTROL SCHEMES

NEW INTELLIGENT ADAPTIVE CONTROL SCHEMES. Team Members: Garth Girman Eleanor Kurtz H. John Swarthout III Advisor: Dr. Khalid Al-Olimat. Scope of Presentation. Introduction Problem Identification Design Solutions Project Management

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NEW INTELLIGENT ADAPTIVE CONTROL SCHEMES

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  1. NEW INTELLIGENT ADAPTIVE CONTROL SCHEMES Team Members: Garth Girman Eleanor Kurtz H. John Swarthout III Advisor: Dr. Khalid Al-Olimat

  2. Scope of Presentation • Introduction • Problem Identification • Design Solutions • Project Management • Conclusions

  3. Adaptive Control • Attempts to control plant without human operator. • Adapts to changes in operating conditions. • Two leading assemblies, MRAC and STR, are considered.

  4. Problems of Adaptive Control • Single reference model in MRAC may have unacceptable dynamic performance. • Single identification model in STR may not properly identify the plant.

  5. Problem Identification • Conventional adaptive control based on single model approach cannot be as effective as required. • Thus, more intelligent control is needed.

  6. Fuzzy Logic • Membership Function • Fuzzy Sets • Degrees of Membership • Fuzzy Rule Sets • If A is ‘small’ and B is ‘large,’ then C is ‘medium’ and D is ‘very small.’

  7. Current Research • MRAC • Attempts with Multiple Models and Switching Algorithms • Single Parameter Evaluation with Fuzzy Logic • STR • Multiple Combinations of Identification and Controller Schemes

  8. Proposed Solutions • MRAC with Multiple Online Reference Model Parameter Evaluation • STR with Multiple Identification Models • STR with Multiple Online Parameter Evaluation for a Single Identification Model

  9. Final MRAC Solution • Model Reference Adaptive Control • Uses Model-Following Approach • Multiple Model Parameter Evaluation

  10. MRAC Block Diagram

  11. Fuzzy Logic Membership Function for z

  12. Classical MRAC

  13. Classical vs New MRAC

  14. Final STR Solution • Self-Tuning Regulator • Uses Parameter-Following Approach • Minimum Variance Controller • Recursive Least Squares Identification • Combined Multiple Identification Model and Fuzzy Logic Parameter Evaluation

  15. STR Block Diagram

  16. Fuzzy Logic Membership Function for sf

  17. Classical STR

  18. Classical vs New STR

  19. Stabilizer

  20. Stabilizer vs New STR

  21. Constraints • Economic • Environmental • Sustainability • Manufacturability • Ethical • Health & Safety • Social • Political

  22. Project Management • Requirements Analysis • System Design • Detailed Design • Final Presentations

  23. Gantt Chart

  24. Project Conclusions • Both new MRAC and STR designs resulted in improved overall performance. • New designs show promise, but more research is needed before implementation would be practical.

  25. Future Plans • Presentation of MRAC paper at IEEE CCA, June 23-25. • Submission of STR paper to Power Systems Journal. • Allow others to use our work to further research in adaptive control.

  26. Questions?

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