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Gain scheduled controller design for thermo-optical plant

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents a gain scheduled controller design for MIMO and SISO systems in the frequency domain using the genetic algorithms approach. The proposed method is derived from the M-delta structure of closed loop MIMO (SISO) systems and the small gain theory is exploited to obtain the stability condition. An example of real system illustrates the effectiveness of the proposed output feedback gain scheduled controller design method and also the possibility to improve its performance using the genetic algorithm.
Rocznik
Strony
333--349
Opis fizyczny
Bibliogr. 23 poz., rys., wzory
Twórcy
autor
  • Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Slovak Republic
autor
  • Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Slovak Republic
autor
  • Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Slovak Republic
Bibliografia
  • [1] F. D. Adegas and J. Stoustrup: Structured control of affine linear parameter varying systems. Proc. of the 2011 American Control Conference, San Francisco, CA, USA, (2011), 739-744.
  • [2] P. Apkarian, P. Gahinet and G. Becker: Self-scheduled H∞ control of linear parameter-varying systems, a design example. Automatica, 31(9), (1995), 1251-1261.
  • [3] P. Apkarian and P. Gahinet: A convex characterization of gain-scheduled controllers. IEEE Trans. on Automatic Control, 49(5), (1995), 853-864.
  • [4] C. A. Desoer and M. Vidyasagar: Feedback Systems: Input-Output Properties. Academic Press, New York. 1975.
  • [5] A. E. Eiben and J. E. Smith: Introduction to Evolutionary Computing. Springer, 2003.
  • [6] J. Gao and H. M. Budman: Design of robust gain-scheduled PI controllers for nonlinear processes. J. of Process Control, 15 (2005), 807-817.
  • [7] D. E Goldberg: Genetic Algorithms in Search, Optimisation and Machine Learning. Addisson-Wesley, 1989.
  • [8] B. Hencey and A. Alleyne: Robust Gain-Scheduled Control. Proc. of the 2010 American Control Conference, Baltimore, USA, (2010), 3075-3081.
  • [9] D. J. Leith and W. E. Leithead: Survey of gain scheduling, analysis and design. Int. J. of Control, 73(11), (2000), 1001-1025.
  • [10] D. R. Lewin: Evolutionary algorithms in control system engineering. Proc. of the 16th World Congress of IFAC, Prague, Czech Rep., 16(1), (2005), 867-867.
  • [11] Z. MichalewicZ: Genetic Algorithms + Data Structures = Evolutionary Programs. Springer, 1996.
  • [12] V. F. Montagner and P. L. D. Peres: State feedback gain scheduling for linear systems with time-varying parameters. Proc. of the 2004 American Control Conference, Boston, USA, (2004), 2004-2009.
  • [13] V. De Oliveira and A. Karimi: Robust gain-scheduled PID controller design for condensing boilers by linear programming. Proc. of the IFAC Conf. on Advances in PID Control, Brescia, Italy, (2012), CD.
  • [14] W. J. Rugh and J. S. Schamma: Research on gain scheduling. Survey paper. Automatica, 36 (2000), 1401-1425.
  • [15] M. Sato: Gain-scheduled output-feedback controllers depending solely on scheduling parameters via parameter-dependent Lyapunov functions. Automatica, 17 (2011), 2786-2790.
  • [16] I. Sekaj: Control algorithm design based on evolutionary algorithms. In: D. CHUGO and S. YOKOTA eds. Introduction to Modern Robotics. iC. Press, Hong Kong., 2011. (http://www.iconceptpress.com/books/introduction-tomodern-robotics)
  • [17] S. Skogestad and I. Postlethwaite: Multivariable Feedback Control: Analysis and Design. John Wiley and Sons, 1996.
  • [18] G. E. Stewart: A pragmatic approach to robust gain scheduling. Proc. of the 7th IFAC Symp. on Robust Control Design, Aalborg, Denmark, (2012), 349-356.
  • [19] M. Sznaier: Receding horizon: An easy way to improve performance in LPV systems. Proc. of the 1999 American Control Conference, San Diego, USA, (1999), 2237-2261.
  • [20] V. Vesely , D. Rosinova and A. Ilka: Decentralized gain-scheduling controller design: Polytopic system approach. Proc. of the 13th IFAC Symp. on Large Sscale Complex Systems: Theory and Applications, Shanghai, China, (2013), CD.
  • [21] N. Wade and M. Saeki: An LMI based scheduling algorithm for constrained stabilization problems. Systems and Control Letters, 57 (2008), 255-261.
  • [22] F. Wang and V. Balakrishnan: Improved stability analysis and gain-scheduled controller synthesis for parameter dependent systems. IEEE Trans. on Automatic Control, 47(8), (2002), 720-734.
  • [23] K. Zhou, J. C. Doyle, and K. Glover: Robust and optimal control. Prentice hall, 1996.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4bd62d31-9eea-43a0-984c-f1ec05fe7f0d
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