access icon free Multi-input–multi-output system experimental validation of model-free control and virtual reference feedback tuning techniques

This study proposes data-driven model-free adaptive control (MFAC), model-free control (MFC) and virtual reference feedback tuning (VRFT) techniques applied to the control of a representative non-linear multi-input–multi-output (MIMO) system represented by the twin rotor aerodynamic system (TRAS). These data-driven techniques are implemented for both a single MIMO controller and two separately designed single-input–single-output controllers running in parallel for azimuth and pitch control. The three techniques are implemented as MFAC and MFC algorithms and as linear controllers tuned by VRFT. The performance of the three data-driven MIMO control system structures is compared systematically on the basis of the experimental results in terms of the values of the sum of mean squared control errors measured on TRAS equipment.

Inspec keywords: linear systems; mean square error methods; feedback; control system synthesis; MIMO systems; adaptive control

Other keywords: model free control; data driven techniques; virtual reference feedback tuning techniques; single-input-single-output controllers; twin rotor aerodynamic system; model-free control; pitch control; virtual reference feedback tuning; multi-input-multi-output system experimental validation; linear controllers; VRFT techniques; mean squared control errors; MIMO system; MFAC; TRAS; azimuth control; data driven model free adaptive control

Subjects: Self-adjusting control systems; Multivariable control systems; Linear control systems; Control system analysis and synthesis methods; Interpolation and function approximation (numerical analysis)

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
    5. 5)
      • 30. Menhour, L., d'Andréa-Novel, B., Fliess, M., et al: ‘A new model-free design for vehicle control and its validation through an advanced simulation platform’. Proc. 14th European Control Conf., Linz, Austria, 2015, pp. 16.
    6. 6)
    7. 7)
      • 7. Wang, Y.J., Song, Y.D., Lewis, F.L.: ‘Robust adaptive fault-tolerant control of multiagent systems with uncertain nonidentical dynamics and undetectable actuation failures’, IEEE Trans. Ind. Electron., 2014, 62, (6), pp. 39783988.
    8. 8)
    9. 9)
    10. 10)
    11. 11)
      • 26. Xu, A., Zheng, Y., Yu, H.: ‘Research on the application of model free adaptive (MFA) control in gas turbine’. Proc. Ninth Int. Conf. on Electronic Measurement & Instruments, Beijing, China, 2009, pp. 3-9023-908.
    12. 12)
    13. 13)
    14. 14)
    15. 15)
      • 27. Wang, M., Cheng, Q., Cheng, Y., et al: ‘Model-free adaptive control method for nuclear steam generator water level’. Proc. 2010 Int. Conf. on Intelligent Computation Technology and Automation, Changsha, China, vol. 2, 2010, pp. 696699.
    16. 16)
      • 36. Two Rotor Aerodynamical System, User's Manual, Inteco Ltd., Krakow, Poland, 2007.
    17. 17)
    18. 18)
      • 31. Roman, R.-C., Radac, M.-B., Precup, R.-E., et al: ‘Data-driven optimal model-free control of twin rotor aerodynamic systems’. Proc. 2015 IEEE Int. Conf. on Industrial Technology, Seville, Spain, 2015, pp. 161166.
    19. 19)
    20. 20)
      • 11. Halmevaara, K., Hyötyniemi, H.: ‘Data-based parameter optimization of dynamic simulation models’. Proc. 47th Conf. on Simulation and Modelling, Helsinki, Finland, 2006, pp. 6873.
    21. 21)
    22. 22)
    23. 23)
    24. 24)
      • 29. Join, C., Robert, G., Fliess, M.: ‘Model-free based water level control for hydroelectric power plants’. Proc. IFAC Conf. on Control Methodologies and Technology for Energy Efficiency, Vilamoura, Portugal, 2010, pp. 134139.
    25. 25)
      • 34. Campestrini, L., Gevers, M., Sanfelice, Bazanella A.: ‘Virtual reference feedback tuning for non-minimum phase plants’. Proc. 2009 European Control Conf., Budapest, Hungary, 2009, pp. 19551960.
    26. 26)
    27. 27)
    28. 28)
      • 28. Radac, M.-B., Roman, R.-C., Precup, R.-E., et al: ‘Data-driven model-free control of twin rotor aerodynamic systems: algorithms and experiments’. Proc. 2014 IEEE Multi Systems Conf., Antibes, France, 2014, pp. 18891894.
    29. 29)
    30. 30)
    31. 31)
    32. 32)
    33. 33)
    34. 34)
      • 21. Janssens, P., Pipeleers, G., Swevers, J.L.: ‘Model-free iterative learning control for LTI systems and experimental validation on a linear motor test setup’. Proc. 2011 American Control Conf., San Francisco, CA, USA, 2011, pp. 42874292.
    35. 35)
    36. 36)
    37. 37)
      • 32. Roman, R.-C., Radac, M.-B., Precup, R.-E., et al: ‘Two data-driven control algorithms for a MIMO aerodynamic system with experimental validation’. Proc. 19th Int. Conf. on System Theory, Control and Computing, Cheile Gradistei, Romania, 2015, pp. 736741.
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