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diff m-toolbox/html_help/help/ug/ssm_simulation.html @ 0:f0afece42f48
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author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Wed, 23 Nov 2011 19:22:13 +0100 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/m-toolbox/html_help/help/ug/ssm_simulation.html Wed Nov 23 19:22:13 2011 +0100 @@ -0,0 +1,168 @@ +<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" + "http://www.w3.org/TR/1999/REC-html401-19991224/loose.dtd"> + +<html lang="en"> +<head> + <meta name="generator" content= + "HTML Tidy for Mac OS X (vers 1st December 2004), see www.w3.org"> + <meta http-equiv="Content-Type" content= + "text/html; charset=us-ascii"> + + <title>Simulations (LTPDA Toolbox)</title> + <link rel="stylesheet" href="docstyle.css" type="text/css"> + <meta name="generator" content="DocBook XSL Stylesheets V1.52.2"> + <meta name="description" content= + "Presents an overview of the features, system requirements, and starting the toolbox."> + </head> + +<body> + <a name="top_of_page" id="top_of_page"></a> + + <p style="font-size:1px;"> </p> + + <table class="nav" summary="Navigation aid" border="0" width= + "100%" cellpadding="0" cellspacing="0"> + <tr> + <td valign="baseline"><b>LTPDA Toolbox</b></td><td><a href="../helptoc.html">contents</a></td> + + <td valign="baseline" align="right"><a href= + "ssm_assemble.html"><img src="b_prev.gif" border="0" align= + "bottom" alt="Assembling systems"></a> <a href= + "TransferFunction_model.html"><img src="b_next.gif" border="0" align= + "bottom" alt="Transfer Function Modelling"></a></td> + </tr> + </table> + + <h1 class="title"><a name="f3-12899" id="f3-12899"></a>Simulations</h1> + <hr> + + <p> + <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"> +<HTML> +<HEAD> + <META HTTP-EQUIV="CONTENT-TYPE" CONTENT="text/html; charset=windows-1252"> + <TITLE></TITLE> + <META NAME="GENERATOR" CONTENT="OpenOffice.org 3.1 (Win32)"> + <META NAME="CREATED" CONTENT="0;0"> + <META NAME="CHANGEDBY" CONTENT="Adrien G"> + <META NAME="CHANGED" CONTENT="20090827;18204600"> +</HEAD> +<BODY LANG="en-US" DIR="LTR"> +<P>The function simulate can use ssm object to produce simulations. +</P> +<H2>Simulation example. +</H2> +<P>The following closed loop system is built. +</P> +<DIV CLASS="fragment"><PRE><FONT SIZE=2>>> sys = ssm(plist(</FONT><FONT COLOR="#a020f0">'built-in'</FONT>, <FONT COLOR="#a020f0">'standard_system_params'</FONT>, <FONT COLOR="#a020f0">'setnames'</FONT>, {<FONT COLOR="#a020f0">'W'</FONT> <FONT COLOR="#a020f0">'C'</FONT>}, <FONT COLOR="#a020f0">'setvalues'</FONT>, [-0.2 -0.5])); +>> sys.modifTimeStep(0.01); +<FONT SIZE=2>>> sys.duplicateInput(</FONT><FONT COLOR="#a020f0">'U'</FONT>,<FONT COLOR="#a020f0">'Negative Bias'</FONT>); +>> controller = ssm(plist( <FONT COLOR="#0000ff">...</FONT> +<FONT COLOR="#a020f0">'amats'</FONT><FONT COLOR="#000000">,cell(0,0), </FONT><FONT COLOR="#a020f0">'bmats'</FONT><FONT COLOR="#000000">,cell(0,1), </FONT><FONT COLOR="#a020f0">'cmats'</FONT><FONT COLOR="#000000">,cell(1,0), </FONT><FONT COLOR="#a020f0">'dmats'</FONT><FONT COLOR="#000000">,{-1}, </FONT><FONT COLOR="#0000ff">...</FONT> +<FONT COLOR="#a020f0">'timestep'</FONT><FONT COLOR="#000000">,0.01, </FONT><FONT COLOR="#a020f0">'name'</FONT><FONT COLOR="#000000">,</FONT><FONT COLOR="#a020f0">'controller'</FONT><FONT COLOR="#000000">, </FONT><FONT COLOR="#a020f0">'params'</FONT><FONT COLOR="#000000">,plist, </FONT><FONT COLOR="#0000ff">...</FONT> +<FONT COLOR="#a020f0">'statenames'</FONT><FONT COLOR="#000000">,{}, </FONT><FONT COLOR="#a020f0">'inputnames'</FONT><FONT COLOR="#000000">,{</FONT><FONT COLOR="#a020f0">'Y'</FONT><FONT COLOR="#000000">}, </FONT><FONT COLOR="#a020f0">'outputnames'</FONT><FONT COLOR="#000000">,{</FONT><FONT COLOR="#a020f0">'U'</FONT><FONT COLOR="#000000">} ));</FONT> +------ ssm/1 ------- + amats: { [2x2] } [1x1] + mmats: { [2x2] } [1x1] + bmats: { [2x2] [2x1] } [1x2] + cmats: { [1x2] + [1x2] } [2x1] + dmats: { [1x2] [] + [1x2] [] } [2x2] + timestep: 0.01 + inputs: [1x2 ssmblock] + 1 : N | Fn [kg m s^(-2)], On [m] + 2 : Negative Bias | Fu [kg m s^(-2)] + states: [1x1 ssmblock] + 1 : standard test system | x [m], xdot [m s^(-1)] + outputs: [1x2 ssmblock] + 1 : Y | y [m] + 2 : U | U > 1 [] + params: (empty-plist) [1x1 plist] + version: $Id: ssm_simulation_content.html,v 1.3 2009/08/28 14:20:07 adrien Exp $ + Ninputs: 2 + inputsizes: [2 1] + Noutputs: 2 +outputsizes: [1 1] + Nstates: 1 + statesizes: 2 + Nparams: 0 +isnumerical: true + hist: ssm.hist [1x1 history] + procinfo: (empty-plist) [1x1 plist] + plotinfo: (empty-plist) [1x1 plist] + name: assembled( standard_system_params + controller)) +description: + mdlfile: + UUID: 163d7103-063b-4a57-af7e-b08d22fe42c1 +--------------------</PRE></DIV><P> +Then we wish to use the inputs of N for a correlated force noise and +measurement noise, “Negative Bias” for a sinewave, and +there will be an observation DC offset.</P> +<P>We want as an output the controller output “U” and the +sensor output “y”.</P> +<DIV CLASS="fragment"><PRE>>> ao1 = ao(plist(<FONT COLOR="#a020f0">'FCN'</FONT>,<FONT COLOR="#a020f0">'sin(0:0.01:100)'</FONT>)); +<FONT COLOR="#000000">>> ao_out = sysCL.simulate( plist(</FONT><FONT COLOR="#0000ff">...</FONT> +<FONT COLOR="#a020f0"> 'NOISE VARIABLE NAMES'</FONT><FONT COLOR="#000000">, {</FONT><FONT COLOR="#a020f0">'Fn'</FONT><FONT COLOR="#000000"> </FONT><FONT COLOR="#a020f0">'On'</FONT><FONT COLOR="#000000">}, </FONT><FONT COLOR="#a020f0">'COVARIANCE'</FONT><FONT COLOR="#000000">, [1 0.1 ; 0.1 2] , </FONT><FONT COLOR="#0000ff">...</FONT> +<FONT COLOR="#a020f0"> 'AOS VARIABLE NAMES'</FONT><FONT COLOR="#000000">, {</FONT><FONT COLOR="#a020f0">'Fu'</FONT><FONT COLOR="#000000">} ,</FONT><FONT COLOR="#a020f0">'AOS'</FONT><FONT COLOR="#000000">, ao1 ,</FONT><FONT COLOR="#0000ff">...</FONT> +<FONT COLOR="#a020f0"> 'CONSTANT VARIABLE NAMES'</FONT><FONT COLOR="#000000">, {</FONT><FONT COLOR="#a020f0">'On'</FONT><FONT COLOR="#000000">}, </FONT><FONT COLOR="#a020f0">'CONSTANTS'</FONT><FONT COLOR="#000000">, 35, </FONT><FONT COLOR="#0000ff">...</FONT> +<FONT COLOR="#a020f0"> 'RETURN STATES'</FONT><FONT COLOR="#000000">, {</FONT><FONT COLOR="#a020f0">'x'</FONT><FONT COLOR="#000000">}, </FONT><FONT COLOR="#a020f0">'RETURN OUTPUTS'</FONT><FONT COLOR="#000000">, {</FONT><FONT COLOR="#a020f0">'y'</FONT><FONT COLOR="#000000"> </FONT><FONT COLOR="#a020f0">'U > 1'</FONT><FONT COLOR="#000000">}, </FONT><FONT COLOR="#0000ff">...</FONT> +<FONT COLOR="#a020f0"> 'SSINI'</FONT><FONT COLOR="#000000"> , {[100;3]}, </FONT><FONT COLOR="#a020f0">'TINI'</FONT><FONT COLOR="#000000">, 0));</FONT> +>> iplot(ao_out([1, 2, 3]));</PRE></DIV><P> +<IMG SRC="images/simulate.png" NAME="images1" ALIGN=LEFT WIDTH=567 HEIGHT=454 BORDER=0><BR CLEAR=LEFT>It +turns out the system output (blue) is not much like the state (red), +causing the control (green) to waste a lot of energy. The state is +not experimentally available, but might be obtained through +filtering. The kalman method is so far the only filtering method +implemented in the toolbox.</P> +<DIV CLASS="fragment"><PRE><FONT COLOR="#000000">>> ao_est = sysCL.kalman( plist(</FONT><FONT COLOR="#0000ff">...</FONT> +<FONT COLOR="#a020f0"> 'NOISE VARIABLE NAMES'</FONT><FONT COLOR="#000000">, {</FONT><FONT COLOR="#a020f0">'Fn'</FONT><FONT COLOR="#000000"> </FONT><FONT COLOR="#a020f0">'On'</FONT><FONT COLOR="#000000">}, </FONT><FONT COLOR="#a020f0">'COVARIANCE'</FONT><FONT COLOR="#000000">, [1 0.1 ; 0.1 2] , </FONT><FONT COLOR="#0000ff">...</FONT> +<FONT COLOR="#a020f0"> 'AOS VARIABLE NAMES'</FONT><FONT COLOR="#000000">, {</FONT><FONT COLOR="#a020f0">'Fu'</FONT><FONT COLOR="#000000">} ,</FONT><FONT COLOR="#a020f0">'AOS'</FONT><FONT COLOR="#000000">, ao1 ,</FONT><FONT COLOR="#0000ff">...</FONT> +<FONT COLOR="#a020f0"> 'CONSTANT VARIABLE NAMES'</FONT><FONT COLOR="#000000">, {</FONT><FONT COLOR="#a020f0">'On'</FONT><FONT COLOR="#000000">}, </FONT><FONT COLOR="#a020f0">'CONSTANTS'</FONT><FONT COLOR="#000000">, 35, </FONT><FONT COLOR="#0000ff">...</FONT> +<FONT COLOR="#a020f0"> 'OUTPUT VARIABLE NAMES'</FONT><FONT COLOR="#000000">, {</FONT><FONT COLOR="#a020f0">'y'</FONT><FONT COLOR="#000000">}, </FONT><FONT COLOR="#a020f0">'OUTPUTS'</FONT><FONT COLOR="#000000"> , ao_out(2), </FONT><FONT COLOR="#0000ff">...</FONT> +<FONT COLOR="#a020f0"> 'RETURN STATES'</FONT><FONT COLOR="#000000">, 1, </FONT><FONT COLOR="#a020f0">'RETURN OUTPUTS'</FONT><FONT COLOR="#000000">, 1 ));</FONT> +>> iplot(ao_out(2), ao_est(1), ao_out(1))</PRE></DIV><P> +<IMG SRC="images/kalman.png" NAME="images2" ALIGN=LEFT WIDTH=567 HEIGHT=454 BORDER=0><BR CLEAR=LEFT>In +this example the estimate (blue) of the state (green) is +satisfactory. It leads us to think that such a filter should be used +to provide with the input of the controller. +</P> +<P>However, the DC offset correction by the kalman filter is one +information that is not available under usual circumstances. +</P> +<P><BR><BR> +</P> +<P STYLE="margin-bottom: 0cm"><BR> +</P> +<P STYLE="margin-bottom: 0cm"><BR> +</P> +<P><BR><BR> +</P> +</BODY> +</HTML> + </p> + + <br> + <br> + <table class="nav" summary="Navigation aid" border="0" width= + "100%" cellpadding="0" cellspacing="0"> + <tr valign="top"> + <td align="left" width="20"><a href="ssm_assemble.html"><img src= + "b_prev.gif" border="0" align="bottom" alt= + "Assembling systems"></a> </td> + + <td align="left">Assembling systems</td> + + <td> </td> + + <td align="right">Transfer Function Modelling</td> + + <td align="right" width="20"><a href= + "TransferFunction_model.html"><img src="b_next.gif" border="0" align= + "bottom" alt="Transfer Function Modelling"></a></td> + </tr> + </table><br> + + <p class="copy">©LTP Team</p> +</body> +</html>