function [mot1,mot2]=identifyFxFyStage() %sample idfrd %f = logspace(-1,1,100); %[mag,phase] = bode(idtf([1 .2],[1 2 1 1]),f); %response = mag.*exp(1j*phase*pi/180); %m = idfrd(response,f,0.08); function obj=loadData(path,motid) obj=struct(); f=load(strcat(path,sprintf('curr_step%d.mat',motid))); obj.currstep=f; %prepend sone zeros to stable system identification obj.currstep=iddata([zeros(10,1); obj.currstep.data(:,2)],[zeros(10,1); obj.currstep.data(:,3)],50E-6); f=load(strcat(path,sprintf('full_bode_mot%d.mat',motid))); obj.frq=f.frq*2*pi; %convert from Hz to rad/s obj.mag=10.^(f.db_mag/20); %mag not in dB obj.phase=f.deg_phase*pi/180; %phase in rad response = obj.mag.*exp(1j*obj.phase); obj.meas= idfrd(response,obj.frq,0); end function tfc=currstep(obj) opt=tfestOptions; opt.Display='off'; tfc = tfest(obj.currstep, 2, 0,opt); den=tfc.Denominator; num=tfc.Numerator; k=num(1); w0=sqrt(num(1)); damp=den(2)/2/w0; s=sprintf('k:%g w0:%g damp:%g\n',k,w0,damp); %disp(s); %h = stepplot(tf1); %l=obj.currstep.OutputData t=(0:199)*50E-6; [y,t]=step(tfc,t); f=figure(); subplot(1,2,1); plot(t,y*1000,'r',t,obj.currstep.OutputData(11:210),'b'); title(s); subplot(1,2,2); h=bodeplot(tfc,'r'); setoptions(h,'FreqUnits','Hz','Grid','on'); end function mot=fyStage() mot=loadData('/home/zamofing_t/Documents/prj/SwissFEL/epics_ioc_modules/ESB_MX/python/MXTuning/18_10_02/',1); mot.tfc=currstep(mot); opt=tfestOptions; opt.Display='off'; opt.initializeMethod='iv'; opt.WeightingFilter=[1,5;20,670]*(2*pi); % Hz->rad/s conversion figure(); mot.tf4_2 = tfest(mot.meas, 4, 2, opt); mot.tf6_4 = tfest(mot.meas, 6, 4, opt); h=bodeplot(mot.meas,'r',mot.tf4_2,'b',mot.tf6_4,'g'); setoptions(h,'FreqUnits','Hz','Grid','on'); end function mot=fxStage() mot=loadData('/home/zamofing_t/Documents/prj/SwissFEL/epics_ioc_modules/ESB_MX/python/MXTuning/18_10_02/',2); currstep(mot); opt=tfestOptions; opt.Display='off'; opt.initializeMethod='iv'; opt.WeightingFilter=[1,5;20,670]*(2*pi); % Hz->rad/s conversion figure(); mot.tf4_2 = tfest(mot.meas, 4, 2, opt); mot.tf6_4 = tfest(mot.meas, 6, 4, opt); mot.tf13_9 = tfest(mot.meas, 13, 9, opt); num=[5.42637491e-24 1.45926254e-21 5.20861422e-17 9.92527094e-15 1.16707977e-10 1.31240975e-08 7.03191689e-05 3.08626613e-03 7.32824533e+00]; den=[2.01035570e-35,2.33560078e-31,9.14767135e-28,2.52369732e-24,7.42150891e-21,6.89695386e-18,1.65017156e-14,5.77522779e-12,1.08386286e-08,1.13336206e-06,1.27552247e-03,2.19776479e-02,1.00000000e+00]; mot.tf_py = idtf(num,den); h=bodeplot(mot.meas,'r',mot.tf4_2,'b',mot.tf6_4,'g',mot.tf13_9,'m',mot.tf_py,'b'); setoptions(h,'FreqUnits','Hz','Grid','on'); %controlSystemDesigner('bode',1,mot.tf_py); % <<<<<<<<< This opens a transferfiûnction that can be edited end close all mot1=fyStage(); mot2=fxStage(); end function f=SCRATCH() %identification toolbox systemIdentification %opt=tfestOptions('Display','off'); %opt=tfestOptions('Display','on','initializeMethod','svf'); %opt=tfestOptions('Display','on','initializeMethod','iv','WeightingFilter',[]); %opt=tfestOptions('Display','on','initializeMethod','iv','WeightingFilter',[1,5;20,570]); %tf1 = tfest(mot1frq, 6, 4, opt); % Model refinement % Options = tf1.Report.OptionsUsed; % Options.WeightingFilter = 'prediction'; % tf1_1 = pem(mot1frq, tf1, Options) bodeplot(mot1frq,tf1) mag,phase=bode(tf1,frq) figure(1) subplot(211) bodeplot(tf1) Opt = n4sidOptions('N4Horizon',[15 15 15]); n4s3 = n4sid(mot1frq, 3, Opt) %tf([1 2],[1 0 10]) %specifies the transfer function (s+2)/(s^2+10) while sys=tf([1],[1,0,0]) bode(sys) step(sys) sys=tf([1],[1,-1,2]) %instable sys=tf([1],[1,1,2]) %stable %0dB at 12 Hz=12*2*pi rad/s =75.4=k^2 -> k=8.6833 sys=tf([10],[1,0,0]) %1/s^2 -> 0dB at 1Hz -40dB/decade %10=+20dB sys=tf([1],[1,0,2]) %not damped constant sine after step sys=zpk([],[1,0,0],100) %stable sys=zpk([],[-10,-10],100) %parker stage 1 %!encoder_sim(enc=1,tbl=9,mot=9,posSf=13000./2048) %!encoder_inc(enc=1,tbl=1,mot=1,posSf=13000./650000) %!motor_servo(mot=1,ctrl='ServoCtrl',Kp=25,Kvfb=400,Ki=0.02,Kvff=350,Kaff=5000,MaxInt=1000) %!motor(mot=1,dirCur=0,contCur=800,peakCur=2400,timeAtPeak=1,IiGain=5,IpfGain=8,IpbGain=8,JogSpeed=10.,numPhase=3,invDir=True,servo=None,PhasePosSf=1./81250,PhaseFindingDac=100,PhaseFindingTime=50,SlipGain=0,AdvGain=0,PwmSf=10000,FatalFeLimit=200,WarnFeLimit=100,InPosBand=2,homing='enc-index') Ts=2E-4 % discrete sample time (servo period) Kp=25,Kvfb=400,Ki=0.02,Kvff=350,Kaff=5000,MaxInt=1000 Kp=25,Kvfb=0,Ki=0,Kvff=0,Kaff=0,MaxInt=0 num=7.32 den=[5.995e-04 4.897e-02 1.] open('stage_closed_loop.slx') %sim('stage_closed_loop.slx') sys=tf(num,den) bode(sys) G = tf(1.5,[1 14 40.02]); controlSystemDesigner('bode',sys); controlSystemDesigner linearSystemAnalyzer load ltiexamples linearSystemAnalyzer(sys_dc) controlSystemDesigner('bode',sys); controlSystemDesigner(1,sys); % <<<<<<<<< This opens a transferfiûnction that can be edited num=[8.32795069e-11, 1.04317228e-08, 6.68431323e-05, 3.31861324e-03, 7.32824533e+00]; den=[5.26156641e-18, 1.12897840e-14, 7.67853031e-12, 1.03201301e-08, 2.05154780e-06, 1.34279894e-03, 7.19229912e-02, 1.00000000e+00]; mot2=tf(num,den); controlSystemDesigner('bode',mot2); [m1,m2]=identifyFxFyStage(); controlSystemDesigner(1,m2.tf_py); % <<<<<<<<< This opens a transferfiûnction that can be edited end