Youla–Kucera parametrization
{{Short description|Formulaic parametrization}}
{{More footnotes|date=August 2012}}
In control theory the Youla–Kučera parametrization (also simply known as Youla parametrization) is a formula that describes all possible stabilizing feedback controllers for a given plant P, as function of a single parameter Q.
Details
The YK parametrization is a general result. It is a fundamental result of control theory and launched an entirely new area of research and found application, among others, in optimal and robust control.V. Kučera. A Method to Teach the Parameterization of All Stabilizing Controllers. 18th IFAC World Congress. Italy, Milan, 2011.[http://www.nt.ntnu.no/users/skoge/prost/proceedings/ifac11-proceedings/data/html/papers/1148.pdf] The engineering significance of the YK formula is that if one wants to find a stabilizing controller that meets some additional criterion, one can adjust the parameter Q such that the desired criterion is met.
For ease of understanding and as suggested by Kučera it is best described for three increasingly general kinds of plant.
=Stable SISO plant=
Let be a transfer function of a stable single-input single-output system (SISO) system. Further, let be a set of stable and proper functions of . Then, the set of all proper stabilizing controllers for the plant can be defined as
:,
where is an arbitrary proper and stable function of s. It can be said, that parametrizes all stabilizing controllers for the plant .
=General SISO plant=
Consider a general plant with a transfer function . Further, the transfer function can be factorized as
:, where , are stable and proper functions of s.
Now, solve the Bézout's identity of the form
:,
where the variables to be found must be also proper and stable.
After proper and stable are found, we can define one stabilizing controller that is of the form . After we have one stabilizing controller at hand, we can define all stabilizing controllers using a parameter that is proper and stable. The set of all stabilizing controllers is defined as
:.
=General MIMO plant=
In a multiple-input multiple-output (MIMO) system, consider a transfer matrix . It can be factorized using right coprime factors or left factors . The factors must be proper, stable and doubly coprime, which ensures that the system is controllable and observable. This can be written by Bézout identity of the form:
:
\left[ \begin{matrix}
\mathbf{X} & \mathbf{Y} \\
-\mathbf{\tilde{N}} & {\mathbf{\tilde{D}}} \\
\end{matrix} \right]\left[ \begin{matrix}
\mathbf{D} & -\mathbf{\tilde{Y}} \\
\mathbf{N} & {\mathbf{\tilde{X}}} \\
\end{matrix} \right]=\left[ \begin{matrix}
\mathbf{I} & 0 \\
0 & \mathbf{I} \\
\end{matrix} \right]
.
After finding that are stable and proper, we can define the set of all stabilizing controllers using left or right factor, provided having negative feedback.
:
\begin{align}
& \mathbf{K(s)}={{\left( \mathbf{X}-\mathbf{\Delta\tilde{N}} \right)}^{-1}}\left( \mathbf{Y}+\mathbf{\Delta\tilde{D}} \right) \\
& =\left( \mathbf{\tilde{Y}}+\mathbf{D\Delta} \right){{\left( \mathbf{\tilde{X}}-\mathbf{N\Delta} \right)}^{-1}}
\end{align}
where is an arbitrary stable and proper parameter.
Let be the transfer function of the plant and let be a stabilizing controller. Let their right coprime factorizations be:
:
:
then all stabilizing controllers can be written as
:
where is stable and proper.[http://www.inf.ethz.ch/personal/cellier/Lect/NMC/Lect_nmc_index.html Cellier: Lecture Notes on Numerical Methods for control, Ch. 24]
References
{{reflist}}
- D. C. Youla, H. A. Jabr, J. J. Bongiorno: Modern Wiener-Hopf design of optimal controllers: part II, IEEE Trans. Automat. Contr., AC-21 (1976) pp319–338
- V. Kučera: Stability of discrete linear feedback systems. In: Proceedings of the 6th IFAC. World Congress, Boston, MA, USA, (1975).
- C. A. Desoer, R.-W. Liu, J. Murray, R. Saeks. Feedback system design: the fractional representation approach to analysis and synthesis. IEEE Trans. Automat. Contr., AC-25 (3), (1980) pp399–412
- John Doyle, Bruce Francis, Allen Tannenbaum. Feedback control theory. (1990). [http://www.gest.unipd.it/~oboe/psc/testi/dft.pdf]
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