Skip to main content
Log in

A Modified FOPID Versus H and µ Synthesis Controllers: Robustness Study

  • Published:
International Journal of Control, Automation and Systems Aims and scope Submit manuscript

Abstract

The H, µ synthesis and fractional order (FPM) controllers are types of robust designs that use the linearized model of the system and provide a linear controller. The µ synthesis approach directly considers the uncertainty, but H and FOPID run for the worst uncertainty scenario. mFPM is the modified version of FOPID design where 1) it takes into account the given uncertainty by a graphical Phase Margin Distribution Map (PMDP), and 2) reduces the controller design calculations by working on the samples of the system frequency response instead of its analytical equation. The design strategy can perfectly force the desired flatness in the phase margin band and maintain the system performance robustness. For evaluation, the algorithms are applied to a second-order uncertain system and a perturbed UAV roll control. In both cases, the lowest output response variance and the best performance robustness is gained from the mFPM design. This is verified through numerous simulations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. J. López, R. Dormido, S. Dormido, and J. Góómez, “A robust controller for an UAV flight control system,” The Scientific World Journal, vol. 2015, 2015.

  2. Q. Zhang, D.-Z. Xu, and K.-K. Zhan, “Model reference robust adaptive H controller design,” International Journal of Control, Automation and Systems, vol. 15, pp. 1507–1514, 2017.

    Article  Google Scholar 

  3. A. Azizi, H. Nourisola, A. Sadeghi-Emamgholi, and F. Naderisafa, “Adaptive PSO-LS-wavelet H control for two-wheeled self-balancing scooter,” International Journal of Control, Automation and Systems, vol. 15, pp. 2126–2137, 2017.

    Article  Google Scholar 

  4. Y.-C. Chang, “Adaptive H2/H tracking control for a class of uncertain robotic systems,” International Journal of Control, vol. 90, pp. 463–479, 2017.

    Article  MathSciNet  Google Scholar 

  5. M. Hosseini and S. Seyedtabaii, “Robust ROV path following considering disturbance and measurement error using data fusion,” Applied Ocean Research, vol. 54, pp. 67–72, 2016.

    Article  Google Scholar 

  6. S. Islam, P. X. Liu, and A. El Saddik, “Nonlinear robust adaptive sliding mode control design for miniature unmanned multirotor aerial vehicle,” International Journal of Control, Automation and Systems, vol. 15, pp. 1661–1668, 2017.

    Article  Google Scholar 

  7. M. Rezaee and S. Seyedtabaii, “On an optimized fuzzy supervized multiphase guidance law,” Asian Journal of Control, vol. 18, pp. 2010–2017, 2016.

    Article  MathSciNet  MATH  Google Scholar 

  8. R. Cai, R. Zheng, M. Liu, and M. Li, “Robust Control of PMSM Using Geometric Model Reduction and m-Synthesis,” IEEE Transactions on Industrial Electronics, vol. 65, pp. 498–509, 2018.

    Article  Google Scholar 

  9. S. Seyedtabaii and H. Panahi, “Intelligently Tuned m-PID for Aircraft Lateral Control,” Proc. of the 2nd Int. Conf. on applied research in EMMEAt, Tehran, IRAN, 2017.

    Google Scholar 

  10. U. M. Al-Saggaf, I. M. Mehedi, R. Mansouri, and M. Bettayeb, “Rotary flexible joint control by fractional order controllers,” International Journal of Control, Automation and Systems, vol. 15, pp. 2561–2569, 2017.

    Article  MATH  Google Scholar 

  11. A.-J. Muñoz-Vázquez, H. Ramírez-Rodríguez, V. Parra-Vega, and A. Sánchez-Orta, “Fractional sliding mode control of underwater ROVs subject to non-differentiable disturbances,” International Journal of Control, Automation and Systems, vol. 15, pp. 1314–1321, 2017.

    Article  Google Scholar 

  12. J. Han, L. Di, C. Coopmans, and Y. Chen, “Pitch loop control of a VTOL UAV using fractional order controller,” Journal of Intelligent & Robotic Systems, vol. 73, pp. 187–195, 2014.

    Article  Google Scholar 

  13. S. P. Jadhav and S. T. Hamde, “A simple method to design robust fractional-order lead compensator,” International Journal of Control, Automation and Systems, vol. 15, no. 3, pp. 1236–1248, 2017.

    Article  Google Scholar 

  14. D.-W. Gu, P. Petkov, and M. M. Konstantinov, Robust Control Design with MATLAB®, Springer Science & Business Media, 2014.

    MATH  Google Scholar 

  15. S. Seyedtabaii, “New flat phase margin fractional order PID design: perturbed UAV roll control study,” Robotics and Autonomous Systems, vol. 96, pp. 58–64, 2017.

    Article  Google Scholar 

  16. Y.-M. Kim, “Robust data driven H-infinity control for wind turbine,” Journal of the Franklin Institute, vol. 353, pp. 3104–3117, 2016.

    Article  MathSciNet  MATH  Google Scholar 

  17. A. Tepljakov, E. Petlenkov, and J. Belikov, “FOMCON: a MATLAB toolbox for fractional-order system identification and control,” International Journal of Microelectronics and Computer Science, vol. 2, pp. 51–62, 2011.

    Google Scholar 

  18. D. Valerio and J. S. da Costa, “Ninteger: a non-integer control toolbox for Matlab,” Proceedings of the Fractional Differentiation and its Applications, Bordeaux, 2004.

    Google Scholar 

  19. R. W. Beard and T. W. McLain, Small Unmanned Aircraft: Theory and Practice, Princeton University Press, 2012.

    Book  Google Scholar 

  20. S. Seyetabaii, Saeed_Repository, Available: http://web. shahed.ac.ir/stabaii/Lists/0papers/AllItems.aspx

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Saeed Seyedtabaii.

Additional information

Recommended by Editor PooGyeon Park. This work has been partially supported by the research department of Shahed University.

Saeed Seyedtabaii received the B.Sc. degree in Electronics from Sharif University of Technology, Tehran, Iran, in 1984, the M.Sc degree in electronics from Iran University of Science and Technology, Tehran, Iran, in 1987 and his Ph.D degree in advanced control from DalTech, Halifax, Canada, in 1995. Since 1998, he has been with the Engineering Faculty of Shahed University, Tehran, Iran, where he is currently an Associate Professor. His research interests are robust control, system identification and fault diagnosis.

Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Seyedtabaii, S. A Modified FOPID Versus H and µ Synthesis Controllers: Robustness Study. Int. J. Control Autom. Syst. 17, 639–646 (2019). https://doi.org/10.1007/s12555-018-0033-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12555-018-0033-x

Keywords

Navigation