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% -*-latex-*- Put EMACS into LaTeX-mode % Verbal description for system PDe (PDe_desc.tex) % Generated by MTT on Tue May 1 09:26:33 BST 2001. % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % %% Version control history % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % %% $Id$ % %% $Log$ % %% Revision 1.1 2000/12/28 09:13:38 peterg % %% Initial revision % %% % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% The acausal bond graph of system \textbf{PDe} is displayed in Figure \Ref{fig:PDe_abg.ps} and its label file is listed in Section \Ref{sec:PDe_lbl}. The subsystems are listed in Section \Ref{sec:PDe_sub}. This is a proportional + derivative (PD) controller for a collocated sutuation where the control signal is an effort and the measured signal is a (collocated) flow. The controller can be thought of as controlling \emph{integated flow}, and it is with respect to this that the P and D terms are defined. The setpoint is a \emph{flow}; and must be generated to give the desired \emph{integrated} flow. Physically, the controller is a \textbf{C} and an \textbf{R} component - for mechanical systems a mass and a spring. Mathematically, in integral causality, the equations are: %file: pde_{dae}.tex %differential-algebraic equations \begin{equation} \begin{aligned} \dot x_{1} &= { f_d - f } \end{aligned} \end{equation} \begin{equation} \begin{aligned} u &= { - k_{d} f + k_{p} x_{1} } \end{aligned} \end{equation} The state $x_1$ is the the integrated difference between \emph{desired} flow $f_d$ and the actual flow $f$. Thus the control signal $u$ is $k_p$ multiplied by the position error minus $k_d$ time the flow.