Model reference robust control
- 274 Downloads
Classical model reference adaptive control schemes require the following assumptions on the plant: A1) minimum phase; A2) known upper bound of the plant order; A3) known relative degree; and A4) known sign of high frequency gain. It is well-known that the robustness of the adaptive systems is a potential problem, and it requires many sophisticated techniques to fix it. In this paper, we consider the same model reference control problem via robust control. By further assuming that the boundedness of the parameter uncertainties of the plant (which is a very weak assumption), we show that a linear time-invariant dynamic output feedback controller can be constructed to give the following property: the closed-loop system is internally stable and its transfer function is arbitrarily close to the reference model. This method provides simple controllers and good robustness. It also has potential to cope with large size fast time-varying uncertainties.
KeywordsRobust Control Model Reference Adaptive Control Uncertain Linear System Quantitative Feedback Theory Dynamic Output Feedback Controller
Unable to display preview. Download preview PDF.
- B. R. Barmish and K. H. Wei, “Simultaneous stabilizability of single input single output systems,” in Modelling, Identification and Robust Control, (North-Holland, Amsterdam), 1986.Google Scholar
- J. Sun, A. W. Olbrot, and M. P. Polis, “Robust stabilization and robust performance using model reference control and modelling error compensation,” in Proc. International Workshop on Robust Control, (San Antonio, Texas), March 1991.Google Scholar