PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

On the existence of proportional-integral observer for the state estimation of linear time-invariant systems

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper, the explicit necessary and sufficient conditions are established for the existence of proportional-integral observer for the state estimation of linear time-invariant continuoustime systems. In particular, it is proven that for a given linear time-invariant continuous-time system of order n, having m inputs and p linearly independent outputs, a proportional-integral observer of order n can be constructed if and only if the given system is detectable. Furthermore a simple procedure is given for the construction of proportional-integral observer. Our approach is based on properties of real and polynomial matrices.
Rocznik
Strony
27--47
Opis fizyczny
Bibliogr. 39 poz.
Twórcy
  • Hellenic Air Force Academy, Department of Aeronautical Sciences, Division of Automatic Control, Dekelia Air Base, PC 13671, Acharnes, Attikis,Tatoi, Greece
Bibliografia
  • Bakhshande, F. (2018) Observer-Based Robust Nonlinear Control Design, PhD thesis, Duisburg University, Germany.
  • Bakhshande, F., Bach, R. and Söffker, D. (2020) Robust control of a hydraulic cylinder using an observer-based sliding mode control: Theoretical development and experimental validation, Control Engineering Practice, 95, 104272.
  • Bakhshande, F. and Söffker, D. (2015) Proportional-integral-observer: A brief survey with special attention to the actual methods using acc benchmark. IFAC papers online, 48 (2015), 532-537.
  • Bakhshande, F. and Söffker, D. (2017) Robust control approach for a hydraulic differential cylinder system using a proportional integral-observerbased backstepping control. American Control Conference, IEEE, 3102–3107.
  • Beale, S. and Shafai, B. (1989) Robust control system design with a proportional integral observer. International Journal of Control, 50, 97-111.
  • Bia łon, T., Pasko, M. and Niestroj, R. (2020) Developing induction motor state observers with increased robustness. Energies, 13, 54-87.
  • Busawon, K. K. and Kabore, P. (2000) On the design of integral and proportional- integral observers. Proceedings of the American Control Conference, IEEE, 3725–3729
  • Duan, G. R., Liu, G. P. and Thompson, S. (2001) Eigenstructure assignment design for proportional-integral observers: continuous-time case. IEE Proceedings – Control Theory and Applications, 148, 263-267.
  • Duan, G. R., Liu, G. P. and Thompson, S. (2003) Eigenstructure assignment design for proportional-integral observers: the discrete-time case. International Journal of Systems Science, 34, 357-363.
  • Duan, G. R. and Wu, A. (2006) Robust fault detection in linear systems based on PI Observers International Journal of Systems Science 37, 809-816.
  • Gantmacher, F. R. (1959) The Theory of Matrices, Vol. 1. Chelsea, New York.
  • Gao, Z., Cecati, C. and Ding, S. X. (2015) A survey of fault diagnosis and fault-tolerant techniques - Part I: Fault diagnosis with model-based and signal-based approaches. IEEE Transactions on Industrial Electronics, 62, 3757–3767.
  • Hamdi, H., Rodrigues, M., Mechmeche, C., Theilliol, D. and Braiek, N. B. (2012) Fault detection and isolation in linear parameter varying descriptor systems via Proportional-Integral-Observer. International Journal of Adaptive Control and Signal Processing, 26, 224–240.
  • Hu, Y., Dai, X., Cui, D. and Jia, Z. (2022) Zero-assignment and complex coefficient gain design of generalized proportional-integral observer for robust fault detection. Journal of Franklin Institute 359, 3831-3856.
  • Kaczorek, T. (1979) Proportional-integral observers for linear multivariable time-varying Systems. Regelungstechnik 27, 359-362.
  • Kalman, R. E. (1963) Mathematical description of linear dynamical systems. SIAM Journal of Control and Optimization, 1, 152-192.
  • Khedher, A., Benothman, K., Maquin, D. and Benrejeb, M. (2009) State and sensor faults estimation via a proportional integral observer. 6th International Multi-Conference on Systems, Signals and Devices, IEEE, 1-6.
  • Kucera, V. (1991) Analysis and Design of Discrete Linear Control Systems. Prentice Hall, London.
  • Lay, D. C. (2005) Linear Algebra and its Applications. Addison Wesley, Boston.
  • Lin, L. (2022) Fault detection in uncertain systems via proportional integral observer. Systems Science & Control Engineering, 10, 822-831.
  • Liu, Y. (2011) Robust Nonlinear Control Design with Proportional-Integral Observer Technique. PhD Thesis, Duisburg University, Germany.
  • Luenberger, D. G. (1963) Determining the state of a linear system with observers of low dynamic order. PhD Dissertation, Stanford University.
  • Luenberger, D. G. (1964) Observing the states of a linear system. IEEE Transactions Military Electronics, 8, 74-80.
  • Luenberger, D. G. (1966) Observers for multivariable systems. IEEE Transactions on Automatic Control, 11, 190-197.
  • Luenberger, D. G. (1971) An Introduction to Observers. IEEE Transactions on Automatic Control, 16, 596-602.
  • Mc Duffee, C. C. (1946) The Theory of Matrices. Chelsea Publishing, New York.
  • Niemann, H. H., Stoustrup, J., Shafai, B. and Beale, S. (1995) LTR design of proportional- integral observers. International Journal of Robust Nonlinear Control, 5, 671-693.
  • Shafai, B., Beale, S., Niemann, H. H. and Stoustrup, J. (1996) LTR design of discrete-time proportional-integral observers. IEEE Transactions on Automatic Control, 41, 1056-1062.
  • Shafai, B. and Carroll, R. L. (1985) Design of proportional integral observer for linear time varying multivariable systems. Proceedings of 24th IEEE Conference on Decision and Control, 597-599.
  • Shafai, B. and Moradmand, A. (2020) Design of an Integrated Observer Structure for Robust Fault Detection. IEEE Conference on Control Technology and Applications, 24-26.
  • Shafai, B. and Saif, M. (2015) Proportional-integral observer in robust control, fault detection and decentralized control of dynamic systems. In: Aly El-Osery and Jeff Prevost, eds., Control and Systems Engineering. Springer, Cham, 13-43.
  • Söffker, D., Yu, T. J. and Muller, P. C. (1995) State estimation of dynamical systems with non-linearities by using proportional-integral observer . International Journal of Systems Science, 26, 1571-1582.
  • Takahashi, K. (1996) Eigenvalues of matrices with given block upper triangular part. Linear Algebra and its Applications, 239, 175-184.
  • Trentelman, H. L., Stoorvogel, A. A. and Hautus, M. (2001) Control Theory for Linear Systems. Springer-Verlag, London.
  • Wojciechowski, B. (1978) Analysis and synthesis of proportional-integral observers for single-input single-output time-invariant continuous systems, PhD dissertation.Technical University of Gliwice, Poland.
  • Wolowich, W. A. (1974) Linear Multivariable Systems. Springer Verlag, Berlin.
  • Wonham, W. M. (1968) On a matrix Riccati equation of stochastic control. SIAM Journal of Control and Optimization. 6, 681-698.
  • Wu, A. G., Duan, G. R. and Liu, W. (2012) Proportional multiple-integral observer design for continuous time descriptor linear systems. Asian Journal of Control, 14, 476-488.
  • Zhou, K., Doyle, J. C. and Glover, K. (1996) Optimal and Robust Control. Prentice-Hall, New Jersey.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7a812739-5c88-4da8-ab58-610543ccca28
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.