Refactored to try to split up the defaults from the main code
This is going to get ugly fast if I don't keep on top of it.
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4 changed files with 198 additions and 52 deletions
101
.gitignore
vendored
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101
.gitignore
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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env/
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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.hypothesis/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# pyenv
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.python-version
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# celery beat schedule file
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celerybeat-schedule
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# SageMath parsed files
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*.sage.py
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# dotenv
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.env
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# virtualenv
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.venv
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venv/
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ENV/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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20
LPRDefaultPlotting.py
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LPRDefaultPlotting.py
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#!/usr/bin/env python3
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################################################################################
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# Define the prefered plotting defaults.
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# These generally translate to how I want stuff to show up in IEEE papers.
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# Note that when I do my debugging, I override figure.figsize in my testing
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# enviornment.
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################################################################################
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from matplotlib import rcParams, pyplot as pp
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rcParams['grid.alpha'] = 0.7
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rcParams['grid.linestyle'] = ':'
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rcParams['font.family'] = ['serif']
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rcParams['font.size'] = 9.0
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rcParams['mathtext.fontset'] = 'dejavuserif'
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rcParams['mathtext.it'] = 'serif:italic'
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rcParams['mathtext.bf'] = 'serif:bold'
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rcParams['mathtext.sf'] = 'serif'
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rcParams['mathtext.tt'] = 'monospace'
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49
TankGlobals.py
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TankGlobals.py
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#!/usr/bin/env python3
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import numpy as np
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################################################################################
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# Operating Enviornment
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#####
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f0 = 28
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bw0 = 6.5 # assumed tuning range (GHz)
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bw_plt = 2 # Plotting range (GHz)
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fbw = bw0/f0 # fractional bandwidth
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frequency_sweep_steps = 101
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gamma_sweep_steps = 15
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gamma = 1 - np.power(f0 / (f0 + bw0/2),2)
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gamma_limit_ratio = 0.99 # how close gamma can get to theoretical extreme
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# Configuration Of Hardware
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#####
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q1_L = 10
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q1_C = 10
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l1 = 100e-3 # nH
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gm1 = 25e-3 # S
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# Compute frequency sweep
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#####
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w0 = f0*2*np.pi
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fbw_plt = bw_plt/f0
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delta = np.linspace(-fbw_plt/2,fbw_plt/2,frequency_sweep_steps)
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w = w0*(1+delta)
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f = f0*(1+delta)
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jw = 1j*w
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##################
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# Compute system
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#####
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c1 = 1/(w0*w0*l1)
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g1_L = 1 / (q1_L*w0*l1)
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g1_C = w0 * c1 / q1_C
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g1 = g1_L + g1_C
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# Verify gamma is valid
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#####
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gamma_max = g1 * np.sqrt(l1/c1)
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if gamma > (gamma_limit_ratio * gamma_max):
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print("==> WARN: Gamma to large, reset to %.3f (was %.3f) <==" % \
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(gamma_max_cap*gamma_max, gamma))
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gamma = gamma_max_cap*gamma_max
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80
tankPlot.py
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tankPlot.py
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#!/usr/bin/env python3
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#!/usr/bin/env python3
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import numpy as np
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import numpy as np
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from matplotlib import rcParams, pyplot as pp
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rcParams['figure.figsize'] = [10,7]
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from matplotlib import rcParams, pyplot as pp
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default_window_position='+20+80'
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import LPRDefaultPlotting
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import sys
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import sys
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sys.path.append("./pySmithPlot")
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sys.path.append("./pySmithPlot")
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import smithplot
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import smithplot
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from smithplot import SmithAxes
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from smithplot import SmithAxes
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################################################################################
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################################################################################
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# Operating Enviornment
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# Define my helper functions.
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#####
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def dB20(volt_tf):
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f0 = 28
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"""Describe signal gain of a transfer function in dB (i.e. 20log(x))"""
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bw0 = 6.5 # assumed tuning range (GHz)
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return 20*np.log10(np.abs(volt_tf))
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bw_plt = 1 # Plotting range (GHz)
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def ang(volt_tf):
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fbw = bw0/f0 # fractional bandwidth
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"""Describe phase of a transfer function in degrees. Not unwrapped."""
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return 180/np.pi*np.angle(volt_tf)
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def ang_unwrap(volt_tf):
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"""Describe phase of a transfer function in degrees. With unwrapping."""
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return 180/np.pi*np.unwrap(np.angle(volt_tf))
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def dB10(pwr_tf):
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"""Describe power gain of a transfer function in dB (i.e. 10log(x))"""
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return 10*np.log10(np.abs(pwr_tf))
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frequency_sweep_steps = 101
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gamma_sweep_steps = 15
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gamma = 1 - np.power(f0 / (f0 + bw0/2),2)
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################################################################################
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gamma_limit_ratio = 0.99 # how close gamma can get to theoretical extreme
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# Override the defaults for this script
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rcParams['figure.figsize'] = [10,7]
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default_window_position='+20+80'
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# Configuration Of Hardware
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################################################################################
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#####
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# Operating Enviornment (i.e. circuit parameters)
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q1_L = 10
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from TankGlobals import *
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q1_C = 10
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l1 = 100e-3 # nH
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gm1 = 25e-3 # S
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# Compute frequency sweep
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################################################################################
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#####
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# Now generate the sweep of resonance tuning (gamma, and capacitance)
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w0 = f0*2*np.pi
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fbw_plt = bw_plt/f0
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delta = np.linspace(-fbw_plt/2,fbw_plt/2,frequency_sweep_steps)
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w = w0*(1+delta)
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f = f0*(1+delta)
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jw = 1j*w
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##################
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# Compute system
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#####
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c1 = 1/(w0*w0*l1)
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g1_L = 1 / (q1_L*w0*l1)
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g1_C = w0 * c1 / q1_C
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g1 = g1_L + g1_C
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# Verify gamma is valid
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#####
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gamma_max = g1 * np.sqrt(l1/c1)
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if gamma > (gamma_limit_ratio * gamma_max):
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print("==> WARN: Gamma to large, reset to %.3f (was %.3f) <==" % \
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(gamma_max_cap*gamma_max, gamma))
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gamma = gamma_max_cap*gamma_max
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gamma_swp = np.linspace(-gamma,gamma,gamma_sweep_steps);
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gamma_swp = np.linspace(-gamma,gamma,gamma_sweep_steps);
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# compute correction factor for g1 that will produce common gain at f0
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# compute correction factor for g1 that will produce common gain at f0
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@ -72,12 +54,6 @@ print(' Rp = %.3f Ohm' % (1/g1))
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print(' Max G1 boost %.2fmS (%.1f%% of gm1)' % \
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print(' Max G1 boost %.2fmS (%.1f%% of gm1)' % \
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(1e3*np.max(np.abs(g1_boost)), 100*np.max(g1_ratio)))
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(1e3*np.max(np.abs(g1_boost)), 100*np.max(g1_ratio)))
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def db(volt_tf):
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return 20*np.log10(np.abs(volt_tf))
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def ang(volt_tf):
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return 180/np.pi*np.angle(volt_tf)
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#y_tank=np.zeros((len(delta),len(gamma_swp)))
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h = pp.figure()
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h = pp.figure()
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mgr = pp.get_current_fig_manager()
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mgr = pp.get_current_fig_manager()
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ax1 = h.add_subplot(2,2,1, projection='smith')
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ax1 = h.add_subplot(2,2,1, projection='smith')
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@ -94,8 +70,8 @@ for itune,gamma_tune in enumerate(gamma_swp):
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tf = gm1 / g1_tune * \
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tf = gm1 / g1_tune * \
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1j*(1+delta) / \
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1j*(1+delta) / \
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( 1j*(1+delta) + K*(1 - (1+gamma_tune)*np.power(1+delta,2)) )
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( 1j*(1+delta) + K*(1 - (1+gamma_tune)*np.power(1+delta,2)) )
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ax2.plot(np.angle(tf), db(tf))
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ax2.plot(np.angle(tf), dB20(tf))
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ax3.plot(f,db(tf))
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ax3.plot(f,dB20(tf))
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ax4.plot(f,ang(tf))
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ax4.plot(f,ang(tf))
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################################################################################
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################################################################################
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ax3.set_title('TF Gain')
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ax3.set_title('TF Gain')
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ax3.set_ylabel('Gain (dB)')
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ax3.set_ylabel('Gain (dB)')
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ax4.set_title('TF Phase')
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ax4.set_title('TF Phase')
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ax3.set_ylabel('Phase (deg)')
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ax4.set_ylabel('Phase (deg)')
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for ax_T in [ax3, ax4]:
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for ax_T in [ax3, ax4]:
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ax_T.grid()
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ax_T.grid()
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ax_T.set_xlabel('Freq (GHz)')
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ax_T.set_xlabel('Freq (GHz)')
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