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 P(s) be a transfer function of a stable single-input single-output system (SISO) system. Further, let \Omega be a set of stable and proper functions of s. Then, the set of all proper stabilizing controllers for the plant P(s) can be defined as

:\left\{ \frac{Q(s)}{1 - P(s)Q(s)}, Q(s)\in \Omega \right\},

where Q(s) is an arbitrary proper and stable function of s. It can be said, that Q(s) parametrizes all stabilizing controllers for the plant P(s).

=General SISO plant=

Consider a general plant with a transfer function P(s). Further, the transfer function can be factorized as

:P(s)=\frac{N(s)}{M(s)}, where M(s), N(s) are stable and proper functions of s.

Now, solve the Bézout's identity of the form

: \mathbf{N(s)Y(s)} + \mathbf{M(s)X(s)} = \mathbf{1} ,

where the variables to be found (X(s), Y(s)) must be also proper and stable.

After proper and stable X, Y are found, we can define one stabilizing controller that is of the form C(s)=\frac{Y(s)}{X(s)}. After we have one stabilizing controller at hand, we can define all stabilizing controllers using a parameter Q(s) that is proper and stable. The set of all stabilizing controllers is defined as

:\left\{ \frac{Y(s)+M(s)Q(s)}{X(s) - N(s)Q(s)}, Q(s) \in \Omega \right\}.

=General MIMO plant=

In a multiple-input multiple-output (MIMO) system, consider a transfer matrix \mathbf{P(s)}. It can be factorized using right coprime factors \mathbf{P(s)=N(s)D^{-1}(s)} or left factors \mathbf{P(s)=\tilde{D}^{-1}(s)\tilde{N}(s)}. The factors must be proper, stable and doubly coprime, which ensures that the system \mathbf{P(s)} 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 \mathbf{X, Y, \tilde{X}, \tilde{Y}} that are stable and proper, we can define the set of all stabilizing controllers \mathbf{K(s)} 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 \Delta is an arbitrary stable and proper parameter.

Let P(s) be the transfer function of the plant and let K_0(s) be a stabilizing controller. Let their right coprime factorizations be:

:\mathbf{P(s)}= \mathbf{N} \mathbf{M}^{-1}

:\mathbf{K_0(s)} = \mathbf{U} \mathbf{V}^{-1}

then all stabilizing controllers can be written as

:\mathbf{K(s)} = (\mathbf{U}+\mathbf{M} \mathbf{Q}) (\mathbf{V}+\mathbf{N} \mathbf{Q})^{-1}

where Q 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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Category:Control theory