mirror of https://github.com/Desuuuu/klipper.git
103 lines
3.0 KiB
Python
103 lines
3.0 KiB
Python
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# Definitions of the supported input shapers
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#
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# Copyright (C) 2020-2021 Dmitry Butyugin <dmbutyugin@google.com>
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#
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# This file may be distributed under the terms of the GNU GPLv3 license.
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import collections, math
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SHAPER_VIBRATION_REDUCTION=20.
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DEFAULT_DAMPING_RATIO = 0.1
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InputShaperCfg = collections.namedtuple(
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'InputShaperCfg', ('name', 'init_func', 'min_freq'))
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def get_none_shaper():
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return ([], [])
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def get_zv_shaper(shaper_freq, damping_ratio):
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df = math.sqrt(1. - damping_ratio**2)
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K = math.exp(-damping_ratio * math.pi / df)
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t_d = 1. / (shaper_freq * df)
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A = [1., K]
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T = [0., .5*t_d]
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return (A, T)
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def get_zvd_shaper(shaper_freq, damping_ratio):
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df = math.sqrt(1. - damping_ratio**2)
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K = math.exp(-damping_ratio * math.pi / df)
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t_d = 1. / (shaper_freq * df)
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A = [1., 2.*K, K**2]
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T = [0., .5*t_d, t_d]
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return (A, T)
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def get_mzv_shaper(shaper_freq, damping_ratio):
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df = math.sqrt(1. - damping_ratio**2)
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K = math.exp(-.75 * damping_ratio * math.pi / df)
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t_d = 1. / (shaper_freq * df)
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a1 = 1. - 1. / math.sqrt(2.)
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a2 = (math.sqrt(2.) - 1.) * K
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a3 = a1 * K * K
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A = [a1, a2, a3]
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T = [0., .375*t_d, .75*t_d]
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return (A, T)
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def get_ei_shaper(shaper_freq, damping_ratio):
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v_tol = 1. / SHAPER_VIBRATION_REDUCTION # vibration tolerance
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df = math.sqrt(1. - damping_ratio**2)
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K = math.exp(-damping_ratio * math.pi / df)
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t_d = 1. / (shaper_freq * df)
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a1 = .25 * (1. + v_tol)
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a2 = .5 * (1. - v_tol) * K
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a3 = a1 * K * K
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A = [a1, a2, a3]
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T = [0., .5*t_d, t_d]
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return (A, T)
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def get_2hump_ei_shaper(shaper_freq, damping_ratio):
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v_tol = 1. / SHAPER_VIBRATION_REDUCTION # vibration tolerance
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df = math.sqrt(1. - damping_ratio**2)
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K = math.exp(-damping_ratio * math.pi / df)
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t_d = 1. / (shaper_freq * df)
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V2 = v_tol**2
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X = pow(V2 * (math.sqrt(1. - V2) + 1.), 1./3.)
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a1 = (3.*X*X + 2.*X + 3.*V2) / (16.*X)
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a2 = (.5 - a1) * K
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a3 = a2 * K
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a4 = a1 * K * K * K
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A = [a1, a2, a3, a4]
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T = [0., .5*t_d, t_d, 1.5*t_d]
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return (A, T)
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def get_3hump_ei_shaper(shaper_freq, damping_ratio):
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v_tol = 1. / SHAPER_VIBRATION_REDUCTION # vibration tolerance
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df = math.sqrt(1. - damping_ratio**2)
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K = math.exp(-damping_ratio * math.pi / df)
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t_d = 1. / (shaper_freq * df)
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K2 = K*K
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a1 = 0.0625 * (1. + 3. * v_tol + 2. * math.sqrt(2. * (v_tol + 1.) * v_tol))
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a2 = 0.25 * (1. - v_tol) * K
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a3 = (0.5 * (1. + v_tol) - 2. * a1) * K2
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a4 = a2 * K2
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a5 = a1 * K2 * K2
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A = [a1, a2, a3, a4, a5]
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T = [0., .5*t_d, t_d, 1.5*t_d, 2.*t_d]
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return (A, T)
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# min_freq for each shaper is chosen to have projected max_accel ~= 1500
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INPUT_SHAPERS = [
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InputShaperCfg('zv', get_zv_shaper, min_freq=21.),
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InputShaperCfg('mzv', get_mzv_shaper, min_freq=23.),
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InputShaperCfg('zvd', get_zvd_shaper, min_freq=29.),
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InputShaperCfg('ei', get_ei_shaper, min_freq=29.),
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InputShaperCfg('2hump_ei', get_2hump_ei_shaper, min_freq=39.),
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InputShaperCfg('3hump_ei', get_3hump_ei_shaper, min_freq=48.),
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]
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