Skip to main content
Log in

A Sequential Design Approach for Switching LPV Control

  • Regular Papers
  • Control Theory and Applications
  • Published:
International Journal of Control, Automation and Systems Aims and scope Submit manuscript

Abstract

This paper proposes a sequential design scheme for switching LPV (Linear Parameter-Varying) control, aiming to reduce the computational complexity of the associated optimization problem. Different from the traditional approach that simultaneously designs switching LPV controllers and solves a high-dimensional optimization problem, the proposed sequential design approach renders a bundle of low-dimensional optimization problems to be solved iteratively. Individual LPV controller for each subregion is synthesized by independent PLMIs (Parametric Linear Matrix Inequalities) to guarantee performance, and controller variables are interpolated on the overlapped subregions such that the performance is also guaranteed on the overlapped subregion. Numerical examples are used to demonstrate the effectiveness of this method to reduce the computational load in each design iteration and improved performance over the conventional simultaneous design method with well-tuned interpolation coefficient.

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. P. Apkarian and R. J. Adams, “Advanced gain-scheduling techniques for uncertain systems,” IEEE Transactions on Control Systems Technology, vol. 6, no. 1, pp. 21–32, 1998.

    Article  Google Scholar 

  2. C. Scherer, “Mixed 2/ control for time-varying and linear parametrically-varying systems,” International Journal of Robust and Nonlinear Control, vol. 6, no. 9–10, pp. 929–952, 1996.

    Article  MathSciNet  Google Scholar 

  3. T. He, A. K. Al-Jiboory, G. Zhu, S. Swei, and W. Su, “Application of ICC LPV control to a blended-wing-body airplane with guaranteed , performance,” Aerospace Science and Technology, vol. 81, pp. 88–98, 2018.

    Article  Google Scholar 

  4. B. Lu and F. Wu, “Switching LPV control designs using multiple parameter-dependent Lyapunov functions,” Automatica, vol. 40, no. 11, pp. 1973–1980, 2004.

    Article  MathSciNet  Google Scholar 

  5. T. He, G. Zhu, S. Swei, and W. Su, “Smooth-switching LPV control for vibration suppression of a flexible airplane wing,” Aerospace Science and Technology, vol. 84, pp. 895–903, 2019.

    Article  Google Scholar 

  6. P. Zhao and R. Nagamune, “Switching LPV controller design under uncertain scheduling parameters,” Automatica, vol. 76, pp. 243–250, 2017.

    Article  MathSciNet  Google Scholar 

  7. M. Hanifzadegan and R. Nagamune, “Smooth switching LPV controller design for LPV systems,” Automatica, vol. 50, no. 5, pp. 1481–1488, 2014.

    Article  MathSciNet  Google Scholar 

  8. A. Nia and R. Nagamune, “Switching gain-scheduled proportional-integral-derivative electronic throttle control for automotive engines,” Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, vol. 140, no. 7, 071015, 2018.

    Article  Google Scholar 

  9. T. He, G. G. Zhu, and S. S.-M. Swei, “Smooth switching LPV dynamic output-feedback control,” International Journal of Control, Automation and Systems, vol. 18, no. 6, pp. 1367–1377, 2020.

    Article  Google Scholar 

  10. C. Hoffmann and H. Werner, “A survey of linear parameter-varying control applications validated by experiments or high-fidelity simulations,” IEEE Transactions on Control Systems Technology, vol. 23, no. 2, pp. 416–433, 2015.

    Article  Google Scholar 

  11. L. A. Mozelli and R. L. S. Adriano, “On computational issues for stability analysis of LPV systems using parameter dependent Lyapunov functions and lmis,” 2018, arViv preprint.

  12. P. Chen, “The design of smooth switching control with application to V/STOL aircraft dynamics under input and output constraints,” Asian Journal of Control, vol. 14, no. 2, pp. 439–453, 2012.

    Article  MathSciNet  Google Scholar 

  13. W. Jiang, C. Dong, and Q. Wang, “Smooth switching linear parameter-varying control for hypersonic vehicles via a parameter set automatic partition method,” IET Control Theory Applications, vol. 9, no. 16, pp. 2377–2386, 2015.

    Article  MathSciNet  Google Scholar 

  14. F. D. Bianchi and R. S. Sánchez-Peña, “A novel design approach for switched LPV controllers,” International Journal of Control, vol. 83, no. 8, pp. 1710–1717, 2010.

    Article  MathSciNet  Google Scholar 

  15. F. Wu, X. Yang, A. Packard, and G. Becker, “Induced \({{\cal L}_2}\)-norm control for LPV systems with bounded parameter variation rates,” Int. Journal of Nonlinear Robust Control, vol. 6, p. 983–998, 1996.

    Article  Google Scholar 

  16. J. P. Hespanha and A. S. Morse, “Stability of switched systems with average dwell-time,” Proceedings of the 38th IEEE Conference on Decision and Control, vol. 3, pp. 2655–2660, December 1999.

    Google Scholar 

  17. R. de Oliveira and P. Peres, “Parameter-dependent LMIs in robust analysis: Characterization of homogeneous polynomially parameter-dependent solutions via LMI relaxations,” IEEE Transactions on Automatic Control, vol. 52, no. 7, pp. 1334–1340, July 2007.

    Article  MathSciNet  Google Scholar 

  18. P. Apkarian and H. Tuan, “Parameterized LMIs in control theory,” SIAM Journal on Control and Optimization, vol. 38, no. 4, pp. 1241–1264, 2000.

    Article  MathSciNet  Google Scholar 

  19. C. M. Agulhari, R. C. L. F. de Oliveira, and P. L. D. Peres, “Robust LMI parser: A computational package to construct LMI conditions for uncertain systems,” Proc. of XIX Brazilian Conference on Automation (CBA 2012), Campina Grande, PB, Brazil, pp. 2298–2305, 2012.

  20. J. Löfberg, “YALMIP: A toolbox for modeling and optimization in MATLAB,” Proceedings of the CACSD Conference, Taipei, Taiwan, pp. 284–289, September 2004.

  21. J. Sturm, “Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones,” Optimization Methods and Software, vol. 11, no. 1, pp. 625–653, 1999.

    Article  MathSciNet  Google Scholar 

  22. A. K. Al-Jiboory, G. Zhu, and J. Choi, “Guaranteed performance state-feedback gain-scheduling control with uncertain scheduling parameters,” Journal of Dynamic Systems, Measurement, and Control, vol. 138, no. 1, p. 014502, 2015.

    Article  Google Scholar 

  23. M. Sato, “Gain-scheduled output-feedback controllers depending solely on scheduling parameters via parameter-dependent Lyapunov functions,” Automatica, vol. 47, no. 12, pp. 2786–2790, 2011.

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Guoming G. Zhu.

Additional information

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

Tianyi He is currently an assistant professor at Utah State University, Logan, Utah, USA. He received his Ph.D. degree from Michigan State University in 2019, a B.S. degree in mechanical engineering from Beijing University of Aeronautics and Astronautics, Beijing, China, in 2013, and an M.Phil. degree from the Hong Kong University of Science and Technology in 2015. His research interests include linear parameter varying control and applications on mechanical, aerospace systems.

Guoming G. Zhu is currently a professor with the Department of Mechanical Engineering, Michigan State University, East Lansing, MI, USA. He received his B.S. and M.S. degrees from the Beijing University of Aeronautics and Astronautics, Beijing, China, in 1982 and 1984, respectively, and a Ph.D. degree in aerospace engineering from Purdue University, West Lafayette, IN, USA, in 1992. He was a Technical Fellow in advanced powertrain systems with Visteon Corporation, and a Technical Advisor with Cummins Engine Co., Ltd. Dr. Zhu has authored or co-authored over 240 refereed technical papers, two books, and more than 40 U.S. patents. Dr. Zhu is a Fellow of the SAE and ASME. He is an Editorial Board Member of the International Journal of Powertrain and associate editor of ASME Letters in Dynamic Systems and Control. He was the program chair of the 2018 ASME Dynamic Systems and Control Conference and an Associate Editor of the ASME Journal of Dynamic Systems, Measurement, and Control.

Sean S. M. Swei was formerly with NASA Ames Research Center and is currently a Professor of Practice in the Department of Aerospace Engineering at Khalifa University (KU), Abu Dhabi, UAE, and Director of KU Space Technology and Innovation Center (KUSTIC). He received his B.Sc. degree in mechanical engineering from National Taiwan University in 1983, an M.Sc. degree in mechanical engineering and mechanics from Drexel University in 1986, and a Ph.D. degree in aeronautics and astronautics from Purdue University in 1993. Dr. Swei’s main research interests are in the general areas of air and spaceflight vehicle systems, space structures and their integration with advanced autonomous/robotic systems.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

He, T., Zhu, G.G. & Swei, S.S.M. A Sequential Design Approach for Switching LPV Control. Int. J. Control Autom. Syst. 19, 3354–3367 (2021). https://doi.org/10.1007/s12555-020-0363-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12555-020-0363-3

Keywords

Navigation