LTPDA Toolbox™ contents How to inject signals   Inject noise signals to LTP

Simulate LTP with injected signals (no noise)

In Topic 2 you learned how to create an LTP model. Recall, the LTP model is the same as the LPF model but without all the noise-shape filters assembled. As a reminder, you can build this model like this: 

      ltp = ssm(plist('built-in', 'LTP', 'Version', 'Standard'))

Inject a signal into guidance of the LTP model

In the previous section we saw how to inject signals in to an ssm model. Here we will inject a signal into the LTP model. In particular, we'll modulate the set-point of the drag-free loop along x by injecting a sine-wave in the guidance input for that control coordinate. We'll ask the simulator for the two main IFO outputs: the position of SC relative to TM1 and the position of TM2 relative to TM1. 

  
      % Create some time-series analysis object to inject
      aSignal = ao(plist('tsfcn', '1e-6*sin(2*pi*0.01*t)', 'fs', 10, 'nsecs', 1000));       

      % Create the plist to configure simulate      
      sim_pl = plist('AOS', aSignal, 'AOS Variable Names', 'GUIDANCE.ifo_x1', ... 
                     'return outputs', {'DELAY_IFO.x1', 'DELAY_IFO.x12'})
                     
      % Run the simulation      
      out = simulate(ltp, sim_pl);
You can then plot the output signals by doing either of the following: 
  
      % Create a plist to configure iplot to plot with subplots
      plot_pl = plist('arrangement', 'subplots');
      
      % Use matrix/iplot to plot the internal objects
      iplot(out, plot_pl)
      
      % First extract the internal AOs and then plot
      [o1, o12] = unpack(out);
      iplot(o1, o12, plot_pl);
You should then see a plot something like:

Command a force on TM1 of the LTP model

This time we'll apply a modulated force on TM1. We'll ask the simulator for the all IFO outputs and all IS output. These force inputs are called 'TESTSIGNAL' in the current models. We'll create a sine-wave signal of 0.1nN at 10 mHz and apply it to TM1 along x: 

  
      % Create some time-series analysis object to inject
      aSignal = ao(plist('tsfcn', '1e-10*sin(2*pi*0.1*t)', 'yunits', 'N', 'fs', 10, 'nsecs', 1000));       
      
      % Generate a list of outputs we want from the simulator      
      outputs = ltp.getPortNamesForBlocks(plist('blocks', {'DELAY_IFO', 'IS'}, 'type', 'outputs'));
      
      % Create the plist to configure simulate      
      sim_pl = plist('AOS', aSignal, 'AOS Variable Names', 'TESTSIGNAL.tm1_x', 'return outputs', outputs)
      
      % Run the simulation      
      out = simulate(ltp, sim_pl);
Note: although the input (and output) ports of the ssm models have assigned units, and your injected signals may have units, these are not currently checked to be consistent. This will likely change in a future release.

You can then plot the output signals by doing the following: 
  
      % Create a plist to configure iplot to plot with subplots
      plot_pl = plist('arrangement', 'subplots');
      
      % First extract the internal AOs we want and then plot
      o1  = out.getObjectAtIndex(1);
      o12 = out.getObjectAtIndex(4);
      IS_tm1_x = out.getObjectAtIndex(7);
      IS_tm2_x = out.getObjectAtIndex(13);
      
      % Then plot the IFO and IS signals together
      iplot(o1, o12, plot_pl);
      iplot(IS_tm1_x, IS_tm2_x, plot_pl);

You should then see plots like:


How to inject signals  How to inject signals   Inject noise signals to LTP Inject noise signals to LTP

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