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[python-control-discuss] SF.net SVN: python-control:[158] trunk/examples/tfvis.py
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From: <mur...@us...> - 2011-06-18 00:02:33
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Revision: 158
http://python-control.svn.sourceforge.net/python-control/?rev=158&view=rev
Author: murrayrm
Date: 2011-06-18 00:02:27 +0000 (Sat, 18 Jun 2011)
Log Message:
-----------
Added tfvis.py, a simple GUI application for visualizing how the
poles/zeros of the transfer function effects the bode, nyquist and
step response of a SISO system. Contributed by Vanessa Romero
Segovia, Ola Johnsson, Jerker Nordh.
Changed logspace import to pull this from the control.matlab instead of
numpy (not found in numpy 2.0.0 on python 2.6.1).
Added Paths:
-----------
trunk/examples/tfvis.py
Added: trunk/examples/tfvis.py
===================================================================
--- trunk/examples/tfvis.py (rev 0)
+++ trunk/examples/tfvis.py 2011-06-18 00:02:27 UTC (rev 158)
@@ -0,0 +1,375 @@
+#!/usr/bin/python
+""" Simple GUI application for visualizing how the poles/zeros of the transfer
+function effects the bode, nyquist and step response of a SISO system """
+
+"""Copyright (c) 2011, All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions
+are met:
+
+1. Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+3. Neither the name of the project author nor the names of its
+ contributors may be used to endorse or promote products derived
+ from this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
+FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL CALTECH
+OR THE CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF
+USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
+ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT
+OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGE.
+
+Author: Vanessa Romero Segovia
+Author: Ola Johnsson
+Author: Jerker Nordh
+"""
+
+import control.matlab
+import Tkinter
+import sys
+import Pmw
+import matplotlib.pyplot as plt
+from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
+from numpy.lib.polynomial import polymul
+from numpy.lib.type_check import real
+from numpy.core.multiarray import array
+from numpy.core.fromnumeric import size
+# from numpy.lib.function_base import logspace
+from control.matlab import logspace
+from numpy import conj
+
+def make_poly(facts):
+ """ Create polynomial from factors """
+ poly = [1]
+ for factor in facts:
+ poly = polymul(poly, [1, -factor])
+
+ return real(poly)
+
+def coeff_string_check(text):
+ """ Check so textfield entry is valid string of coeffs. """
+ try:
+ [float(a) for a in text.split()]
+ except:
+ return Pmw.PARTIAL
+
+ return Pmw.OK
+
+class TFInput:
+ """ Class for handling input of transfer function coeffs."""
+ def __init__(self, parent):
+ self.master = parent
+ self.denominator = []
+ self.numerator = []
+ self.numerator_widget = Pmw.EntryField(self.master,
+ labelpos='w',
+ label_text='Numerator',
+ entry_width = 25,
+ validate=coeff_string_check,
+ value='1.0 -6.0 12.0')
+ self.denominator_widget = Pmw.EntryField(self.master,
+ labelpos='w',
+ label_text='Denominator',
+ entry_width = 25,
+ validate=coeff_string_check,
+ value='1.0 5.0 14.0 27.0')
+ self.balloon = Pmw.Balloon(self.master)
+
+ try:
+ self.balloon.bind(self.numerator_widget,
+ "Numerator coefficients, e.g: 1.0 2.0")
+ except:
+ pass
+
+ try:
+ self.balloon.bind(self.denominator_widget,
+ "Denominator coefficients, e.g: 1.0 3.0 2.0")
+ except:
+ pass
+
+ widgets = (self.numerator_widget, self.denominator_widget)
+ for i in xrange(len(widgets)):
+ widgets[i].grid(row=i+1, column=0, padx=20, pady=3)
+ Pmw.alignlabels(widgets)
+
+ self.numerator_widget.component('entry').focus_set()
+
+ def get_tf(self):
+ """ Return transfer functions object created from coeffs"""
+ try:
+ numerator = (
+ [float(a) for a in self.numerator_widget.get().split()])
+ except:
+ numerator = None
+
+ try:
+ denominator = (
+ [float(a) for a in self.denominator_widget.get().split()])
+ except:
+ denominator = None
+
+ try:
+ if (numerator != None and denominator != None):
+ tfcn = control.matlab.tf(numerator, denominator)
+ else:
+ tfcn = None
+ except:
+ tfcn = None
+
+ return tfcn
+
+
+
+ def set_poles(self, poles):
+ """ Set the poles to the new positions"""
+ self.denominator = make_poly(poles)
+ self.denominator_widget.setentry(
+ ' '.join([format(i,'.3g') for i in self.denominator]))
+
+ def set_zeros(self, zeros):
+ """ Set the zeros to the new positions"""
+ self.numerator = make_poly(zeros)
+ self.numerator_widget.setentry(
+ ' '.join([format(i,'.3g') for i in self.numerator]))
+
+class Analysis:
+ """ Main class for GUI visualising transfer functions """
+ def __init__(self, parent):
+ """Creates all widgets"""
+ self.master = parent
+ self.move_zero = None
+ self.index1 = None
+ self.index2 = None
+ self.zeros = []
+ self.poles = []
+
+ self.topframe = Tkinter.Frame(self.master)
+ self.topframe.pack(expand=True, fill='both')
+
+ self.entries = Tkinter.Frame(self.topframe)
+ self.entries.pack(expand=True, fill='both')
+
+ self.figure = Tkinter.Frame(self.topframe)
+ self.figure.pack(expand=True, fill='both')
+
+ header = Tkinter.Label(self.entries,
+ text='Define the transfer function:')
+ header.grid(row=0, column=0, padx=20, pady=7)
+
+
+ self.tfi = TFInput(self.entries)
+ self.sys = self.tfi.get_tf()
+
+ Tkinter.Button(self.entries, text='Apply', command=self.apply,
+ width=9).grid(row=0, column=1, rowspan=3, padx=10, pady=5)
+
+ self.f_bode = plt.figure(figsize=(4, 4))
+ self.f_nyquist = plt.figure(figsize=(4, 4))
+ self.f_pzmap = plt.figure(figsize=(4, 4))
+ self.f_step = plt.figure(figsize=(4, 4))
+
+ self.canvas_pzmap = FigureCanvasTkAgg(self.f_pzmap,
+ master=self.figure)
+ self.canvas_pzmap.show()
+ self.canvas_pzmap.get_tk_widget().grid(row=0, column=0,
+ padx=0, pady=0)
+
+ self.canvas_bode = FigureCanvasTkAgg(self.f_bode,
+ master=self.figure)
+ self.canvas_bode.show()
+ self.canvas_bode.get_tk_widget().grid(row=0, column=1,
+ padx=0, pady=0)
+
+ self.canvas_step = FigureCanvasTkAgg(self.f_step,
+ master=self.figure)
+ self.canvas_step.show()
+ self.canvas_step.get_tk_widget().grid(row=1, column=0,
+ padx=0, pady=0)
+
+ self.canvas_nyquist = FigureCanvasTkAgg(self.f_nyquist,
+ master=self.figure)
+ self.canvas_nyquist.show()
+ self.canvas_nyquist.get_tk_widget().grid(row=1, column=1,
+ padx=0, pady=0)
+
+ self.canvas_pzmap.mpl_connect('button_press_event',
+ self.button_press)
+ self.canvas_pzmap.mpl_connect('button_release_event',
+ self.button_release)
+ self.canvas_pzmap.mpl_connect('motion_notify_event',
+ self.mouse_move)
+
+ self.apply()
+
+ def button_press(self, event):
+ """ Handle button presses, detect if we are going to move
+ any poles/zeros"""
+ # find closest pole/zero
+ if (event.xdata != None and event.ydata != None):
+
+ new = event.xdata + 1.0j*event.ydata
+
+ tzeros = list(abs(self.zeros-new))
+ tpoles = list(abs(self.poles-new))
+
+ if (size(tzeros) > 0):
+ minz = min(tzeros)
+ else:
+ minz = float('inf')
+ if (size(tpoles) > 0):
+ minp = min(tpoles)
+ else:
+ minp = float('inf')
+
+ if (minz < 2 or minp < 2):
+ if (minz < minp):
+ # Moving zero(s)
+ self.index1 = tzeros.index(minz)
+ self.index2 = list(self.zeros).index(
+ conj(self.zeros[self.index1]))
+ self.move_zero = True
+ else:
+ # Moving pole(s)
+ self.index1 = tpoles.index(minp)
+ self.index2 = list(self.poles).index(
+ conj(self.poles[self.index1]))
+ self.move_zero = False
+
+ def button_release(self, event):
+ """ Handle button release, update pole/zero positions,
+ if the were moved"""
+ if (self.move_zero == True):
+ self.tfi.set_zeros(self.zeros)
+ elif (self.move_zero == False):
+ self.tfi.set_poles(self.poles)
+ else:
+ return
+
+ self.move_zero = None
+ self.index1 = None
+ self.index2 = None
+
+ tfcn = self.tfi.get_tf()
+ if (tfcn):
+ self.zeros = tfcn.zero()
+ self.poles = tfcn.pole()
+ self.sys = tfcn
+ self.redraw()
+
+ def mouse_move(self, event):
+ """ Handle mouse movement, redraw pzmap while drag/dropping """
+ if (self.move_zero != None and
+ event.xdata != None and
+ event.ydata != None):
+
+ if (self.index1 == self.index2):
+ # Real pole/zero
+ new = event.xdata
+ if (self.move_zero == True):
+ self.zeros[self.index1] = new
+ elif (self.move_zero == False):
+ self.poles[self.index1] = new
+ else:
+ # Complex poles/zeros
+ new = event.xdata + 1.0j*event.ydata
+ if (self.move_zero == True):
+ self.zeros[self.index1] = new
+ self.zeros[self.index2] = conj(new)
+ elif (self.move_zero == False):
+ self.poles[self.index1] = new
+ self.poles[self.index2] = conj(new)
+ tfcn = None
+ if (self.move_zero == True):
+ self.tfi.set_zeros(self.zeros)
+ tfcn = self.tfi.get_tf()
+ elif (self.move_zero == False):
+ self.tfi.set_poles(self.poles)
+ tfcn = self.tfi.get_tf()
+ if (tfcn != None):
+ self.draw_pz(tfcn)
+ self.canvas_pzmap.show()
+
+ def apply(self):
+ """Evaluates the transfer function and produces different plots for
+ analysis"""
+ tfcn = self.tfi.get_tf()
+
+ if (tfcn):
+ self.zeros = tfcn.zero()
+ self.poles = tfcn.pole()
+ self.sys = tfcn
+ self.redraw()
+
+ def draw_pz(self, tfcn):
+ """Draw pzmap"""
+ self.f_pzmap.clf()
+ # Make adaptive window size, with min [-10, 10] in range,
+ # always atleast 25% extra space outside poles/zeros
+ tmp = list(self.zeros)+list(self.poles)+[8]
+ val = 1.25*max(abs(array(tmp)))
+ plt.figure(self.f_pzmap.number)
+ control.matlab.pzmap(tfcn)
+ plt.suptitle('Pole-Zero Diagram')
+
+ plt.axis([-val, val, -val, val])
+
+ def redraw(self):
+ """ Redraw all diagrams """
+ self.draw_pz(self.sys)
+
+ self.f_bode.clf()
+ plt.figure(self.f_bode.number)
+ control.matlab.bode(self.sys, logspace(-2, 2))
+ plt.suptitle('Bode Diagram')
+
+ self.f_nyquist.clf()
+ plt.figure(self.f_nyquist.number)
+ control.matlab.nyquist(self.sys, logspace(-2, 2))
+ plt.suptitle('Nyquist Diagram')
+
+ self.f_step.clf()
+ plt.figure(self.f_step.number)
+ try:
+ # Step seems to get intro trouble
+ # with purely imaginary poles
+ tvec, yvec = control.matlab.step(self.sys)
+ plt.plot(tvec.T, yvec)
+ except:
+ print "Error plotting step response"
+ plt.suptitle('Step Response')
+
+ self.canvas_pzmap.show()
+ self.canvas_bode.show()
+ self.canvas_step.show()
+ self.canvas_nyquist.show()
+
+def create_analysis():
+ """ Create main object """
+ def handler():
+ """ Handles WM_DELETE_WINDOW messages """
+ root.destroy()
+ sys.exit()
+
+ # Launch a GUI for the Analysis module
+ root = Tkinter.Tk()
+ root.protocol("WM_DELETE_WINDOW", handler)
+ Pmw.initialise(root)
+ root.title('Analysis of Linear Systems')
+ Analysis(root)
+ root.mainloop()
+
+if __name__ == '__main__':
+ create_analysis()
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