I keyed in all the commands in the example step by step. Below is the commands that I have entered: open_system('sdoRCCircuit');
% Get the measured data. load sdoRCCircuit_ExperimentData
% Create an experiment object to store the experimental voltage data. Exp = sdo.Experiment('sdoRCCircuit');
% Create an object to store the measured capacitor voltage output. Voltage = Simulink.SimulationData.Signal; Voltage.Name = 'Voltage'; Voltage.BlockPath = 'sdoRCCircuit/PS-Simulink Converter'; Voltage.PortType = 'outport'; Voltage.PortIndex = 1; Voltage.Values = timeseries(data,time);
% Add the measured capacitor data to the experiment as the expected output data. Exp.OutputData = Voltage;
% Create a simulation scenario using the experiment and obtain the simulated output. Simulator = createSimulator(Exp); Simulator = sim(Simulator);
% Search for the voltage signal in the logged simulation data. SimLog = find(Simulator.LoggedData,get_param('sdoRCCircuit','SignalLoggingName')); Voltage = find(SimLog,'Voltage');
% Plot the measured and simulated data. The model response does not match the experimental output data. plot(time,data,'ro',Voltage.Values.Time,Voltage.Values.Data,'b') title('Simulated and Measured Responses Before Estimation') legend('Measured Voltage','Simulated Voltage')
% Select the capacitance parameter from the model. Specify an initial guess for the capacitance value (460 uF) and a minimum bound (0 F). p = sdo.getParameterFromModel('sdoRCCircuit','C1'); p.Value = 460e-6; p.Minimum = 0;
% Create an estimation objective function to evaluate how closely the simulation output, generated using the estimated parameter value, matches the measured data. % Use an anonymous function with one input argument that calls the sdoRCCircuit_Objective function. We pass the anonymous function to sdo.optimize, which evaluates the function at each optimization iteration. estFcn = @(v) sdoRCCircuit_Objective(v,Simulator,Exp);
% To examine the estimation object function in more detail, type edit sdoRCCircuit_Objective at the MATLAB command prompt. type sdoRCCircuit_Objective
% Use the sdo.optimize function to estimate the capacitance value. % Specify the optimization options. The estimation function sdoRCCircuit_Objective returns the error residuals between simulated and experimental data and does not include any constraints, making this problem ideal for the 'lsqnonlin' solver. opt = sdo.OptimizeOptions; opt.Method = 'lsqnonlin';
% Estimate the parameters. pOpt = sdo.optimize(estFcn,p,opt)
However, I am stuck with the last command. The following error message occur when I tried to run the command: Error using sdo.optimize (line 116) The function handle passed to the optimize command encountered an error when evaluated with a parameter vector.
Caused by: Error using sdoRCCircuit_Objective Too many input arguments.
Can anyone here help me how to fix this problem? Thank you very much.
