wip

python/MXTuning.py

@@ -104,6 +104,13 @@ class MXTuning(Tuning):
         print num
         print den
         print mdl
+        d={'num':num.coeffs,'num1':num1.coeffs,'num2':num2.coeffs,'numc':numc.coeffs,
+           'den':den.coeffs,'den1':den1.coeffs,'den2':den2.coeffs,'denc':denc.coeffs}
+        fn=os.path.join(base,'model%d.mat'%mot)
+        import scipy.io
+        scipy.io.savemat(fn, mdict=d)
+        print('save to matlab file:'+fn)
+
       elif mot==2:
         #identify matlab: k:1.7282 w0:51.069 damp:0.327613
         mag1=1.7282 #10**(db_mag1/20)
@@ -171,6 +178,13 @@ class MXTuning(Tuning):
         print num
         print den
         print mdl
+        d={'num':num.coeffs,'num1':num1.coeffs,'num2':num2.coeffs,'num3':num3.coeffs,'num4':num4.coeffs,'num5':num5.coeffs,'numc':numc.coeffs,
+           'den':den.coeffs,'den1':den1.coeffs,'den2':den2.coeffs,'den3':den3.coeffs,'den4':den4.coeffs,'den5':den5.coeffs,'denc':denc.coeffs}
+        fn=os.path.join(base,'model%d.mat'%mot)
+        import scipy.io
+        scipy.io.savemat(fn, mdict=d)
+        print('save to matlab file:'+fn)
+
       bode(mdl)
       w=np.logspace(0,np.log10(2000),1000)*2*np.pi
       w,mag,phase = signal.bode(mdl,w)