mirror of https://github.com/Desuuuu/klipper.git
input_shaper: Define input shapers in a single place in Python code
Signed-off-by: Dmitry Butyugin <dmbutyugin@google.com>
This commit is contained in:
parent
6c395fd016
commit
d5a7a7f00f
|
@ -138,21 +138,11 @@ defs_kin_extruder = """
|
|||
"""
|
||||
|
||||
defs_kin_shaper = """
|
||||
enum INPUT_SHAPER_TYPE {
|
||||
INPUT_SHAPER_ZV = 0,
|
||||
INPUT_SHAPER_ZVD = 1,
|
||||
INPUT_SHAPER_MZV = 2,
|
||||
INPUT_SHAPER_EI = 3,
|
||||
INPUT_SHAPER_2HUMP_EI = 4,
|
||||
INPUT_SHAPER_3HUMP_EI = 5,
|
||||
};
|
||||
|
||||
double input_shaper_get_step_generation_window(int shaper_type
|
||||
, double shaper_freq, double damping_ratio);
|
||||
double input_shaper_get_step_generation_window(int n, double a[]
|
||||
, double t[]);
|
||||
int input_shaper_set_shaper_params(struct stepper_kinematics *sk
|
||||
, int shaper_type_x, int shaper_type_y
|
||||
, double shaper_freq_x, double shaper_freq_y
|
||||
, double damping_ratio_x, double damping_ratio_y);
|
||||
, int n_x, double a_x[], double t_x[]
|
||||
, int n_y, double a_y[], double t_y[]);
|
||||
int input_shaper_set_sk(struct stepper_kinematics *sk
|
||||
, struct stepper_kinematics *orig_sk);
|
||||
struct stepper_kinematics * input_shaper_alloc(void);
|
||||
|
|
|
@ -15,7 +15,7 @@
|
|||
|
||||
|
||||
/****************************************************************
|
||||
* Shaper-specific initialization
|
||||
* Shaper initialization
|
||||
****************************************************************/
|
||||
|
||||
struct shaper_pulses {
|
||||
|
@ -25,164 +25,6 @@ struct shaper_pulses {
|
|||
} pulses[5];
|
||||
};
|
||||
|
||||
static inline double
|
||||
calc_ZV_K(double damping_ratio)
|
||||
{
|
||||
if (likely(!damping_ratio))
|
||||
return 1.;
|
||||
return exp(-damping_ratio * M_PI / sqrt(1. - damping_ratio*damping_ratio));
|
||||
}
|
||||
|
||||
static inline double
|
||||
calc_half_period(double shaper_freq, double damping_ratio)
|
||||
{
|
||||
return .5 / (shaper_freq * sqrt(1. - damping_ratio*damping_ratio));
|
||||
}
|
||||
|
||||
static void
|
||||
init_shaper_zv(double shaper_freq, double damping_ratio
|
||||
, struct shaper_pulses *sp)
|
||||
{
|
||||
sp->num_pulses = 2;
|
||||
|
||||
double half_period = calc_half_period(shaper_freq, damping_ratio);
|
||||
double K = calc_ZV_K(damping_ratio);
|
||||
double inv_D = 1. / (1. + K);
|
||||
|
||||
sp->pulses[0].t = -half_period;
|
||||
sp->pulses[1].t = 0.;
|
||||
|
||||
sp->pulses[0].a = K * inv_D;
|
||||
sp->pulses[1].a = inv_D;
|
||||
}
|
||||
|
||||
static void
|
||||
init_shaper_zvd(double shaper_freq, double damping_ratio
|
||||
, struct shaper_pulses *sp)
|
||||
{
|
||||
sp->num_pulses = 3;
|
||||
|
||||
double half_period = calc_half_period(shaper_freq, damping_ratio);
|
||||
double K = calc_ZV_K(damping_ratio);
|
||||
double K2 = K * K;
|
||||
double inv_D = 1. / (K2 + 2. * K + 1.);
|
||||
|
||||
sp->pulses[0].t = -2. * half_period;
|
||||
sp->pulses[1].t = -half_period;
|
||||
sp->pulses[2].t = 0.;
|
||||
|
||||
sp->pulses[0].a = K2 * inv_D;
|
||||
sp->pulses[1].a = 2. * K * inv_D;
|
||||
sp->pulses[2].a = inv_D;
|
||||
}
|
||||
|
||||
static void
|
||||
init_shaper_mzv(double shaper_freq, double damping_ratio
|
||||
, struct shaper_pulses *sp)
|
||||
{
|
||||
sp->num_pulses = 3;
|
||||
|
||||
double half_period = calc_half_period(shaper_freq, damping_ratio);
|
||||
double K = exp(-.75 * damping_ratio * M_PI
|
||||
/ sqrt(1. - damping_ratio*damping_ratio));
|
||||
|
||||
double a1 = 1. - 1. / sqrt(2.);
|
||||
double a2 = (sqrt(2.) - 1.) * K;
|
||||
double a3 = a1 * K * K;
|
||||
double inv_D = 1. / (a1 + a2 + a3);
|
||||
|
||||
sp->pulses[0].t = -1.5 * half_period;
|
||||
sp->pulses[1].t = -.75 * half_period;
|
||||
sp->pulses[2].t = 0.;
|
||||
|
||||
sp->pulses[0].a = a3 * inv_D;
|
||||
sp->pulses[1].a = a2 * inv_D;
|
||||
sp->pulses[2].a = a1 * inv_D;
|
||||
}
|
||||
|
||||
#define EI_SHAPER_VIB_TOL 0.05
|
||||
|
||||
static void
|
||||
init_shaper_ei(double shaper_freq, double damping_ratio
|
||||
, struct shaper_pulses *sp)
|
||||
{
|
||||
sp->num_pulses = 3;
|
||||
|
||||
double half_period = calc_half_period(shaper_freq, damping_ratio);
|
||||
double K = calc_ZV_K(damping_ratio);
|
||||
double a1 = .25 * (1. + EI_SHAPER_VIB_TOL);
|
||||
double a2 = .5 * (1. - EI_SHAPER_VIB_TOL) * K;
|
||||
double a3 = a1 * K * K;
|
||||
double inv_D = 1. / (a1 + a2 + a3);
|
||||
|
||||
sp->pulses[0].t = -2. * half_period;
|
||||
sp->pulses[1].t = -half_period;
|
||||
sp->pulses[2].t = 0.;
|
||||
|
||||
sp->pulses[0].a = a3 * inv_D;
|
||||
sp->pulses[1].a = a2 * inv_D;
|
||||
sp->pulses[2].a = a1 * inv_D;
|
||||
}
|
||||
|
||||
static void
|
||||
init_shaper_2hump_ei(double shaper_freq, double damping_ratio
|
||||
, struct shaper_pulses *sp)
|
||||
{
|
||||
sp->num_pulses = 4;
|
||||
|
||||
double half_period = calc_half_period(shaper_freq, damping_ratio);
|
||||
double K = calc_ZV_K(damping_ratio);
|
||||
|
||||
double V2 = EI_SHAPER_VIB_TOL * EI_SHAPER_VIB_TOL;
|
||||
double X = pow(V2 * (sqrt(1. - V2) + 1.), 1./3.);
|
||||
double a1 = (3.*X*X + 2.*X + 3.*V2) / (16.*X);
|
||||
double a2 = (.5 - a1) * K;
|
||||
double a3 = a2 * K;
|
||||
double a4 = a1 * K * K * K;
|
||||
double inv_D = 1. / (a1 + a2 + a3 + a4);
|
||||
|
||||
sp->pulses[0].t = -3. * half_period;
|
||||
sp->pulses[1].t = -2. * half_period;
|
||||
sp->pulses[2].t = -half_period;
|
||||
sp->pulses[3].t = 0.;
|
||||
|
||||
sp->pulses[0].a = a4 * inv_D;
|
||||
sp->pulses[1].a = a3 * inv_D;
|
||||
sp->pulses[2].a = a2 * inv_D;
|
||||
sp->pulses[3].a = a1 * inv_D;
|
||||
}
|
||||
|
||||
static void
|
||||
init_shaper_3hump_ei(double shaper_freq, double damping_ratio
|
||||
, struct shaper_pulses *sp)
|
||||
{
|
||||
sp->num_pulses = 5;
|
||||
|
||||
double half_period = calc_half_period(shaper_freq, damping_ratio);
|
||||
double K = calc_ZV_K(damping_ratio);
|
||||
double K2 = K * K;
|
||||
|
||||
double a1 = 0.0625 * (1. + 3. * EI_SHAPER_VIB_TOL
|
||||
+ 2. * sqrt(2. * (EI_SHAPER_VIB_TOL + 1.) * EI_SHAPER_VIB_TOL));
|
||||
double a2 = 0.25 * (1. - EI_SHAPER_VIB_TOL) * K;
|
||||
double a3 = (0.5 * (1. + EI_SHAPER_VIB_TOL) - 2. * a1) * K2;
|
||||
double a4 = a2 * K2;
|
||||
double a5 = a1 * K2 * K2;
|
||||
double inv_D = 1. / (a1 + a2 + a3 + a4 + a5);
|
||||
|
||||
sp->pulses[0].t = -4. * half_period;
|
||||
sp->pulses[1].t = -3. * half_period;
|
||||
sp->pulses[2].t = -2. * half_period;
|
||||
sp->pulses[3].t = -half_period;
|
||||
sp->pulses[4].t = 0.;
|
||||
|
||||
sp->pulses[0].a = a5 * inv_D;
|
||||
sp->pulses[1].a = a4 * inv_D;
|
||||
sp->pulses[2].a = a3 * inv_D;
|
||||
sp->pulses[3].a = a2 * inv_D;
|
||||
sp->pulses[4].a = a1 * inv_D;
|
||||
}
|
||||
|
||||
// Shift pulses around 'mid-point' t=0 so that the input shaper is an identity
|
||||
// transformation for constant-speed motion (i.e. input_shaper(v * T) = v * T)
|
||||
static void
|
||||
|
@ -196,38 +38,24 @@ shift_pulses(struct shaper_pulses *sp)
|
|||
sp->pulses[i].t -= ts;
|
||||
}
|
||||
|
||||
enum INPUT_SHAPER_TYPE {
|
||||
INPUT_SHAPER_ZV = 0,
|
||||
INPUT_SHAPER_ZVD = 1,
|
||||
INPUT_SHAPER_MZV = 2,
|
||||
INPUT_SHAPER_EI = 3,
|
||||
INPUT_SHAPER_2HUMP_EI = 4,
|
||||
INPUT_SHAPER_3HUMP_EI = 5,
|
||||
};
|
||||
|
||||
typedef void (*is_init_shaper_callback)(double shaper_freq
|
||||
, double damping_ratio
|
||||
, struct shaper_pulses *sp);
|
||||
|
||||
static is_init_shaper_callback init_shaper_callbacks[] = {
|
||||
[INPUT_SHAPER_ZV] = &init_shaper_zv,
|
||||
[INPUT_SHAPER_ZVD] = &init_shaper_zvd,
|
||||
[INPUT_SHAPER_MZV] = &init_shaper_mzv,
|
||||
[INPUT_SHAPER_EI] = &init_shaper_ei,
|
||||
[INPUT_SHAPER_2HUMP_EI] = &init_shaper_2hump_ei,
|
||||
[INPUT_SHAPER_3HUMP_EI] = &init_shaper_3hump_ei,
|
||||
};
|
||||
|
||||
static void
|
||||
init_shaper(int shaper_type, double shaper_freq, double damping_ratio
|
||||
, struct shaper_pulses *sp)
|
||||
init_shaper(int n, double a[], double t[], struct shaper_pulses *sp)
|
||||
{
|
||||
if (shaper_type < 0 || shaper_type >= ARRAY_SIZE(init_shaper_callbacks)
|
||||
|| shaper_freq <= 0.) {
|
||||
if (n < 0 || n > ARRAY_SIZE(sp->pulses)) {
|
||||
sp->num_pulses = 0;
|
||||
return;
|
||||
}
|
||||
init_shaper_callbacks[shaper_type](shaper_freq, damping_ratio, sp);
|
||||
int i;
|
||||
double sum_a = 0.;
|
||||
for (i = 0; i < n; ++i)
|
||||
sum_a += a[i];
|
||||
double inv_a = 1. / sum_a;
|
||||
// Reverse pulses vs their traditional definition
|
||||
for (i = 0; i < n; ++i) {
|
||||
sp->pulses[n-i-1].a = a[i] * inv_a;
|
||||
sp->pulses[n-i-1].t = -t[i];
|
||||
}
|
||||
sp->num_pulses = n;
|
||||
shift_pulses(sp);
|
||||
}
|
||||
|
||||
|
@ -365,20 +193,16 @@ shaper_note_generation_time(struct input_shaper *is)
|
|||
|
||||
int __visible
|
||||
input_shaper_set_shaper_params(struct stepper_kinematics *sk
|
||||
, int shaper_type_x
|
||||
, int shaper_type_y
|
||||
, double shaper_freq_x
|
||||
, double shaper_freq_y
|
||||
, double damping_ratio_x
|
||||
, double damping_ratio_y)
|
||||
, int n_x, double a_x[], double t_x[]
|
||||
, int n_y, double a_y[], double t_y[])
|
||||
{
|
||||
struct input_shaper *is = container_of(sk, struct input_shaper, sk);
|
||||
if (is->orig_sk->active_flags & AF_X)
|
||||
init_shaper(shaper_type_x, shaper_freq_x, damping_ratio_x, &is->sx);
|
||||
init_shaper(n_x, a_x, t_x, &is->sx);
|
||||
else
|
||||
is->sx.num_pulses = 0;
|
||||
if (is->orig_sk->active_flags & AF_Y)
|
||||
init_shaper(shaper_type_y, shaper_freq_y, damping_ratio_y, &is->sy);
|
||||
init_shaper(n_y, a_y, t_y, &is->sy);
|
||||
else
|
||||
is->sy.num_pulses = 0;
|
||||
shaper_note_generation_time(is);
|
||||
|
@ -386,11 +210,10 @@ input_shaper_set_shaper_params(struct stepper_kinematics *sk
|
|||
}
|
||||
|
||||
double __visible
|
||||
input_shaper_get_step_generation_window(int shaper_type, double shaper_freq
|
||||
, double damping_ratio)
|
||||
input_shaper_get_step_generation_window(int n, double a[], double t[])
|
||||
{
|
||||
struct shaper_pulses sp;
|
||||
init_shaper(shaper_type, shaper_freq, damping_ratio, &sp);
|
||||
init_shaper(n, a, t, &sp);
|
||||
if (!sp.num_pulses)
|
||||
return 0.;
|
||||
double window = -sp.pulses[0].t;
|
||||
|
|
|
@ -5,31 +5,30 @@
|
|||
#
|
||||
# This file may be distributed under the terms of the GNU GPLv3 license.
|
||||
import chelper
|
||||
from . import shaper_defs
|
||||
|
||||
class InputShaper:
|
||||
def __init__(self, config):
|
||||
self.printer = config.get_printer()
|
||||
self.printer.register_event_handler("klippy:connect", self.connect)
|
||||
self.toolhead = None
|
||||
self.shapers = {s.name : s.init_func for s in shaper_defs.INPUT_SHAPERS}
|
||||
self.damping_ratio_x = config.getfloat(
|
||||
'damping_ratio_x', 0.1, minval=0., maxval=1.)
|
||||
'damping_ratio_x', shaper_defs.DEFAULT_DAMPING_RATIO,
|
||||
minval=0., maxval=1.)
|
||||
self.damping_ratio_y = config.getfloat(
|
||||
'damping_ratio_y', 0.1, minval=0., maxval=1.)
|
||||
'damping_ratio_y', shaper_defs.DEFAULT_DAMPING_RATIO,
|
||||
minval=0., maxval=1.)
|
||||
self.shaper_freq_x = config.getfloat('shaper_freq_x', 0., minval=0.)
|
||||
self.shaper_freq_y = config.getfloat('shaper_freq_y', 0., minval=0.)
|
||||
ffi_main, ffi_lib = chelper.get_ffi()
|
||||
self.shapers = {None: None
|
||||
, 'zv': ffi_lib.INPUT_SHAPER_ZV
|
||||
, 'zvd': ffi_lib.INPUT_SHAPER_ZVD
|
||||
, 'mzv': ffi_lib.INPUT_SHAPER_MZV
|
||||
, 'ei': ffi_lib.INPUT_SHAPER_EI
|
||||
, '2hump_ei': ffi_lib.INPUT_SHAPER_2HUMP_EI
|
||||
, '3hump_ei': ffi_lib.INPUT_SHAPER_3HUMP_EI}
|
||||
shaper_type = config.get('shaper_type', 'mzv')
|
||||
self.shaper_type_x = config.getchoice(
|
||||
'shaper_type_x', self.shapers, shaper_type)
|
||||
self.shaper_type_y = config.getchoice(
|
||||
'shaper_type_y', self.shapers, shaper_type)
|
||||
self.shaper_type_x = config.get('shaper_type_x', 'mzv').lower()
|
||||
if self.shaper_type_x not in self.shapers:
|
||||
raise config.error(
|
||||
'Unsupported shaper type: %s' % (self.shaper_type_x,))
|
||||
self.shaper_type_y = config.get('shaper_type_y', 'mzv').lower()
|
||||
if self.shaper_type_y not in self.shapers:
|
||||
raise config.error(
|
||||
'Unsupported shaper type: %s' % (self.shaper_type_y,))
|
||||
self.saved_shaper_freq_x = self.saved_shaper_freq_y = 0.
|
||||
self.stepper_kinematics = []
|
||||
self.orig_stepper_kinematics = []
|
||||
|
@ -58,18 +57,25 @@ class InputShaper:
|
|||
self._set_input_shaper(self.shaper_type_x, self.shaper_type_y,
|
||||
self.shaper_freq_x, self.shaper_freq_y,
|
||||
self.damping_ratio_x, self.damping_ratio_y)
|
||||
def _get_shaper(self, shaper_type, shaper_freq, damping_ratio):
|
||||
if not shaper_freq:
|
||||
return shaper_defs.get_none_shaper()
|
||||
A, T = self.shapers[shaper_type](shaper_freq, damping_ratio)
|
||||
return len(A), A, T
|
||||
def _set_input_shaper(self, shaper_type_x, shaper_type_y
|
||||
, shaper_freq_x, shaper_freq_y
|
||||
, damping_ratio_x, damping_ratio_y):
|
||||
if (shaper_type_x != self.shaper_type_x
|
||||
or shaper_type_y != self.shaper_type_y):
|
||||
self.toolhead.flush_step_generation()
|
||||
n_x, A_x, T_x = self._get_shaper(
|
||||
shaper_type_x, shaper_freq_x, damping_ratio_x)
|
||||
n_y, A_y, T_y = self._get_shaper(
|
||||
shaper_type_y, shaper_freq_y, damping_ratio_y)
|
||||
ffi_main, ffi_lib = chelper.get_ffi()
|
||||
new_delay = max(
|
||||
ffi_lib.input_shaper_get_step_generation_window(
|
||||
shaper_type_x, shaper_freq_x, damping_ratio_x),
|
||||
ffi_lib.input_shaper_get_step_generation_window(
|
||||
shaper_type_y, shaper_freq_y, damping_ratio_y))
|
||||
ffi_lib.input_shaper_get_step_generation_window(n_x, A_x, T_x),
|
||||
ffi_lib.input_shaper_get_step_generation_window(n_y, A_y, T_y))
|
||||
self.toolhead.note_step_generation_scan_time(new_delay,
|
||||
old_delay=self.old_delay)
|
||||
self.old_delay = new_delay
|
||||
|
@ -80,10 +86,8 @@ class InputShaper:
|
|||
self.damping_ratio_x = damping_ratio_x
|
||||
self.damping_ratio_y = damping_ratio_y
|
||||
for sk in self.stepper_kinematics:
|
||||
ffi_lib.input_shaper_set_shaper_params(sk
|
||||
, shaper_type_x, shaper_type_y
|
||||
, shaper_freq_x, shaper_freq_y
|
||||
, damping_ratio_x, damping_ratio_y)
|
||||
ffi_lib.input_shaper_set_shaper_params(
|
||||
sk, len(A_x), A_x, T_x, len(A_y), A_y, T_y)
|
||||
def disable_shaping(self):
|
||||
if (self.saved_shaper_freq_x or self.saved_shaper_freq_y) and not (
|
||||
self.shaper_freq_x or self.shaper_freq_y):
|
||||
|
@ -113,35 +117,29 @@ class InputShaper:
|
|||
shaper_freq_y = gcmd.get_float(
|
||||
'SHAPER_FREQ_Y', self.shaper_freq_y, minval=0.)
|
||||
|
||||
def parse_shaper(shaper_type_str):
|
||||
shaper_type_str = shaper_type_str.lower()
|
||||
if shaper_type_str not in self.shapers:
|
||||
raise gcmd.error(
|
||||
"Requested shaper type '%s' is not supported" % (
|
||||
shaper_type_str))
|
||||
return self.shapers[shaper_type_str]
|
||||
|
||||
shaper_type = gcmd.get('SHAPER_TYPE', None, parser=parse_shaper)
|
||||
shaper_type = gcmd.get('SHAPER_TYPE', None)
|
||||
if shaper_type is None:
|
||||
shaper_type_x = gcmd.get('SHAPER_TYPE_X', self.shaper_type_x,
|
||||
parser=parse_shaper)
|
||||
shaper_type_y = gcmd.get('SHAPER_TYPE_Y', self.shaper_type_y,
|
||||
parser=parse_shaper)
|
||||
shaper_type_x = gcmd.get(
|
||||
'SHAPER_TYPE_X', self.shaper_type_x).lower()
|
||||
shaper_type_y = gcmd.get(
|
||||
'SHAPER_TYPE_Y', self.shaper_type_y).lower()
|
||||
else:
|
||||
shaper_type_x = shaper_type_y = shaper_type
|
||||
shaper_type_x = shaper_type_y = shaper_type.lower()
|
||||
if shaper_type_x not in self.shapers:
|
||||
raise gcmd.error('Unsupported shaper type: %s' % (shaper_type_x,))
|
||||
if shaper_type_y not in self.shapers:
|
||||
raise gcmd.error('Unsupported shaper type: %s' % (shaper_type_y,))
|
||||
|
||||
self._set_input_shaper(shaper_type_x, shaper_type_y,
|
||||
shaper_freq_x, shaper_freq_y,
|
||||
damping_ratio_x, damping_ratio_y)
|
||||
|
||||
id_to_name = {v: n for n, v in self.shapers.items()}
|
||||
gcmd.respond_info("shaper_type_x:%s shaper_type_y:%s "
|
||||
"shaper_freq_x:%.3f shaper_freq_y:%.3f "
|
||||
"damping_ratio_x:%.6f damping_ratio_y:%.6f"
|
||||
% (id_to_name[shaper_type_x],
|
||||
id_to_name[shaper_type_y],
|
||||
shaper_freq_x, shaper_freq_y,
|
||||
damping_ratio_x, damping_ratio_y))
|
||||
% (self.shaper_type_x, self.shaper_type_y,
|
||||
self.shaper_freq_x, self.shaper_freq_y,
|
||||
self.damping_ratio_x, self.damping_ratio_y))
|
||||
|
||||
def load_config(config):
|
||||
return InputShaper(config)
|
||||
|
|
|
@ -4,128 +4,16 @@
|
|||
#
|
||||
# This file may be distributed under the terms of the GNU GPLv3 license.
|
||||
import collections, importlib, logging, math, multiprocessing
|
||||
shaper_defs = importlib.import_module('.shaper_defs', 'extras')
|
||||
|
||||
MIN_FREQ = 5.
|
||||
MAX_FREQ = 200.
|
||||
WINDOW_T_SEC = 0.5
|
||||
MAX_SHAPER_FREQ = 150.
|
||||
|
||||
SHAPER_VIBRATION_REDUCTION=20.
|
||||
TEST_DAMPING_RATIOS=[0.075, 0.1, 0.15]
|
||||
SHAPER_DAMPING_RATIO = 0.1
|
||||
|
||||
######################################################################
|
||||
# Input shapers
|
||||
######################################################################
|
||||
|
||||
InputShaperCfg = collections.namedtuple(
|
||||
'InputShaperCfg', ('name', 'init_func', 'min_freq'))
|
||||
|
||||
def get_zv_shaper(shaper_freq, damping_ratio):
|
||||
df = math.sqrt(1. - damping_ratio**2)
|
||||
K = math.exp(-damping_ratio * math.pi / df)
|
||||
t_d = 1. / (shaper_freq * df)
|
||||
A = [1., K]
|
||||
T = [0., .5*t_d]
|
||||
return (A, T)
|
||||
|
||||
def get_zvd_shaper(shaper_freq, damping_ratio):
|
||||
df = math.sqrt(1. - damping_ratio**2)
|
||||
K = math.exp(-damping_ratio * math.pi / df)
|
||||
t_d = 1. / (shaper_freq * df)
|
||||
A = [1., 2.*K, K**2]
|
||||
T = [0., .5*t_d, t_d]
|
||||
return (A, T)
|
||||
|
||||
def get_mzv_shaper(shaper_freq, damping_ratio):
|
||||
df = math.sqrt(1. - damping_ratio**2)
|
||||
K = math.exp(-.75 * damping_ratio * math.pi / df)
|
||||
t_d = 1. / (shaper_freq * df)
|
||||
|
||||
a1 = 1. - 1. / math.sqrt(2.)
|
||||
a2 = (math.sqrt(2.) - 1.) * K
|
||||
a3 = a1 * K * K
|
||||
|
||||
A = [a1, a2, a3]
|
||||
T = [0., .375*t_d, .75*t_d]
|
||||
return (A, T)
|
||||
|
||||
def get_ei_shaper(shaper_freq, damping_ratio):
|
||||
v_tol = 1. / SHAPER_VIBRATION_REDUCTION # vibration tolerance
|
||||
df = math.sqrt(1. - damping_ratio**2)
|
||||
K = math.exp(-damping_ratio * math.pi / df)
|
||||
t_d = 1. / (shaper_freq * df)
|
||||
|
||||
a1 = .25 * (1. + v_tol)
|
||||
a2 = .5 * (1. - v_tol) * K
|
||||
a3 = a1 * K * K
|
||||
|
||||
A = [a1, a2, a3]
|
||||
T = [0., .5*t_d, t_d]
|
||||
return (A, T)
|
||||
|
||||
def get_2hump_ei_shaper(shaper_freq, damping_ratio):
|
||||
v_tol = 1. / SHAPER_VIBRATION_REDUCTION # vibration tolerance
|
||||
df = math.sqrt(1. - damping_ratio**2)
|
||||
K = math.exp(-damping_ratio * math.pi / df)
|
||||
t_d = 1. / (shaper_freq * df)
|
||||
|
||||
V2 = v_tol**2
|
||||
X = pow(V2 * (math.sqrt(1. - V2) + 1.), 1./3.)
|
||||
a1 = (3.*X*X + 2.*X + 3.*V2) / (16.*X)
|
||||
a2 = (.5 - a1) * K
|
||||
a3 = a2 * K
|
||||
a4 = a1 * K * K * K
|
||||
|
||||
A = [a1, a2, a3, a4]
|
||||
T = [0., .5*t_d, t_d, 1.5*t_d]
|
||||
return (A, T)
|
||||
|
||||
def get_3hump_ei_shaper(shaper_freq, damping_ratio):
|
||||
v_tol = 1. / SHAPER_VIBRATION_REDUCTION # vibration tolerance
|
||||
df = math.sqrt(1. - damping_ratio**2)
|
||||
K = math.exp(-damping_ratio * math.pi / df)
|
||||
t_d = 1. / (shaper_freq * df)
|
||||
|
||||
K2 = K*K
|
||||
a1 = 0.0625 * (1. + 3. * v_tol + 2. * math.sqrt(2. * (v_tol + 1.) * v_tol))
|
||||
a2 = 0.25 * (1. - v_tol) * K
|
||||
a3 = (0.5 * (1. + v_tol) - 2. * a1) * K2
|
||||
a4 = a2 * K2
|
||||
a5 = a1 * K2 * K2
|
||||
|
||||
A = [a1, a2, a3, a4, a5]
|
||||
T = [0., .5*t_d, t_d, 1.5*t_d, 2.*t_d]
|
||||
return (A, T)
|
||||
|
||||
def get_shaper_smoothing(shaper, accel=5000, scv=5.):
|
||||
half_accel = accel * .5
|
||||
|
||||
A, T = shaper
|
||||
inv_D = 1. / sum(A)
|
||||
n = len(T)
|
||||
# Calculate input shaper shift
|
||||
ts = sum([A[i] * T[i] for i in range(n)]) * inv_D
|
||||
|
||||
# Calculate offset for 90 and 180 degrees turn
|
||||
offset_90 = offset_180 = 0.
|
||||
for i in range(n):
|
||||
if T[i] >= ts:
|
||||
# Calculate offset for one of the axes
|
||||
offset_90 += A[i] * (scv + half_accel * (T[i]-ts)) * (T[i]-ts)
|
||||
offset_180 += A[i] * half_accel * (T[i]-ts)**2
|
||||
offset_90 *= inv_D * math.sqrt(2.)
|
||||
offset_180 *= inv_D
|
||||
return max(offset_90, offset_180)
|
||||
|
||||
# min_freq for each shaper is chosen to have projected max_accel ~= 1500
|
||||
INPUT_SHAPERS = [
|
||||
InputShaperCfg('zv', get_zv_shaper, min_freq=21.),
|
||||
InputShaperCfg('mzv', get_mzv_shaper, min_freq=23.),
|
||||
InputShaperCfg('ei', get_ei_shaper, min_freq=29.),
|
||||
InputShaperCfg('2hump_ei', get_2hump_ei_shaper, min_freq=39.),
|
||||
InputShaperCfg('3hump_ei', get_3hump_ei_shaper, min_freq=48.),
|
||||
]
|
||||
AUTOTUNE_SHAPERS = ['zv', 'mzv', 'ei', '2hump_ei', '3hump_ei']
|
||||
|
||||
######################################################################
|
||||
# Frequency response calculation and shaper auto-tuning
|
||||
|
@ -313,12 +201,32 @@ class ShaperCalibrate:
|
|||
# The input shaper can only reduce the amplitude of vibrations by
|
||||
# SHAPER_VIBRATION_REDUCTION times, so all vibrations below that
|
||||
# threshold can be igonred
|
||||
vibrations_threshold = psd.max() / SHAPER_VIBRATION_REDUCTION
|
||||
vibr_threshold = psd.max() / shaper_defs.SHAPER_VIBRATION_REDUCTION
|
||||
remaining_vibrations = self.numpy.maximum(
|
||||
vals * psd - vibrations_threshold, 0).sum()
|
||||
all_vibrations = self.numpy.maximum(psd - vibrations_threshold, 0).sum()
|
||||
vals * psd - vibr_threshold, 0).sum()
|
||||
all_vibrations = self.numpy.maximum(psd - vibr_threshold, 0).sum()
|
||||
return (remaining_vibrations / all_vibrations, vals)
|
||||
|
||||
def _get_shaper_smoothing(self, shaper, accel=5000, scv=5.):
|
||||
half_accel = accel * .5
|
||||
|
||||
A, T = shaper
|
||||
inv_D = 1. / sum(A)
|
||||
n = len(T)
|
||||
# Calculate input shaper shift
|
||||
ts = sum([A[i] * T[i] for i in range(n)]) * inv_D
|
||||
|
||||
# Calculate offset for 90 and 180 degrees turn
|
||||
offset_90 = offset_180 = 0.
|
||||
for i in range(n):
|
||||
if T[i] >= ts:
|
||||
# Calculate offset for one of the axes
|
||||
offset_90 += A[i] * (scv + half_accel * (T[i]-ts)) * (T[i]-ts)
|
||||
offset_180 += A[i] * half_accel * (T[i]-ts)**2
|
||||
offset_90 *= inv_D * math.sqrt(2.)
|
||||
offset_180 *= inv_D
|
||||
return max(offset_90, offset_180)
|
||||
|
||||
def fit_shaper(self, shaper_cfg, calibration_data, max_smoothing):
|
||||
np = self.numpy
|
||||
|
||||
|
@ -333,8 +241,9 @@ class ShaperCalibrate:
|
|||
for test_freq in test_freqs[::-1]:
|
||||
shaper_vibrations = 0.
|
||||
shaper_vals = np.zeros(shape=freq_bins.shape)
|
||||
shaper = shaper_cfg.init_func(test_freq, SHAPER_DAMPING_RATIO)
|
||||
shaper_smoothing = get_shaper_smoothing(shaper)
|
||||
shaper = shaper_cfg.init_func(
|
||||
test_freq, shaper_defs.DEFAULT_DAMPING_RATIO)
|
||||
shaper_smoothing = self._get_shaper_smoothing(shaper)
|
||||
if max_smoothing and shaper_smoothing > max_smoothing and best_res:
|
||||
return best_res
|
||||
# Exact damping ratio of the printer is unknown, pessimizing
|
||||
|
@ -387,14 +296,16 @@ class ShaperCalibrate:
|
|||
# Just some empirically chosen value which produces good projections
|
||||
# for max_accel without much smoothing
|
||||
TARGET_SMOOTHING = 0.12
|
||||
max_accel = self._bisect(lambda test_accel: get_shaper_smoothing(
|
||||
max_accel = self._bisect(lambda test_accel: self._get_shaper_smoothing(
|
||||
shaper, test_accel) <= TARGET_SMOOTHING)
|
||||
return max_accel
|
||||
|
||||
def find_best_shaper(self, calibration_data, max_smoothing, logger=None):
|
||||
best_shaper = None
|
||||
all_shapers = []
|
||||
for shaper_cfg in INPUT_SHAPERS:
|
||||
for shaper_cfg in shaper_defs.INPUT_SHAPERS:
|
||||
if shaper_cfg.name not in AUTOTUNE_SHAPERS:
|
||||
continue
|
||||
shaper = self.background_process_exec(self.fit_shaper, (
|
||||
shaper_cfg, calibration_data, max_smoothing))
|
||||
if logger is not None:
|
||||
|
|
|
@ -0,0 +1,102 @@
|
|||
# Definitions of the supported input shapers
|
||||
#
|
||||
# Copyright (C) 2020-2021 Dmitry Butyugin <dmbutyugin@google.com>
|
||||
#
|
||||
# This file may be distributed under the terms of the GNU GPLv3 license.
|
||||
import collections, math
|
||||
|
||||
SHAPER_VIBRATION_REDUCTION=20.
|
||||
DEFAULT_DAMPING_RATIO = 0.1
|
||||
|
||||
InputShaperCfg = collections.namedtuple(
|
||||
'InputShaperCfg', ('name', 'init_func', 'min_freq'))
|
||||
|
||||
def get_none_shaper():
|
||||
return ([], [])
|
||||
|
||||
def get_zv_shaper(shaper_freq, damping_ratio):
|
||||
df = math.sqrt(1. - damping_ratio**2)
|
||||
K = math.exp(-damping_ratio * math.pi / df)
|
||||
t_d = 1. / (shaper_freq * df)
|
||||
A = [1., K]
|
||||
T = [0., .5*t_d]
|
||||
return (A, T)
|
||||
|
||||
def get_zvd_shaper(shaper_freq, damping_ratio):
|
||||
df = math.sqrt(1. - damping_ratio**2)
|
||||
K = math.exp(-damping_ratio * math.pi / df)
|
||||
t_d = 1. / (shaper_freq * df)
|
||||
A = [1., 2.*K, K**2]
|
||||
T = [0., .5*t_d, t_d]
|
||||
return (A, T)
|
||||
|
||||
def get_mzv_shaper(shaper_freq, damping_ratio):
|
||||
df = math.sqrt(1. - damping_ratio**2)
|
||||
K = math.exp(-.75 * damping_ratio * math.pi / df)
|
||||
t_d = 1. / (shaper_freq * df)
|
||||
|
||||
a1 = 1. - 1. / math.sqrt(2.)
|
||||
a2 = (math.sqrt(2.) - 1.) * K
|
||||
a3 = a1 * K * K
|
||||
|
||||
A = [a1, a2, a3]
|
||||
T = [0., .375*t_d, .75*t_d]
|
||||
return (A, T)
|
||||
|
||||
def get_ei_shaper(shaper_freq, damping_ratio):
|
||||
v_tol = 1. / SHAPER_VIBRATION_REDUCTION # vibration tolerance
|
||||
df = math.sqrt(1. - damping_ratio**2)
|
||||
K = math.exp(-damping_ratio * math.pi / df)
|
||||
t_d = 1. / (shaper_freq * df)
|
||||
|
||||
a1 = .25 * (1. + v_tol)
|
||||
a2 = .5 * (1. - v_tol) * K
|
||||
a3 = a1 * K * K
|
||||
|
||||
A = [a1, a2, a3]
|
||||
T = [0., .5*t_d, t_d]
|
||||
return (A, T)
|
||||
|
||||
def get_2hump_ei_shaper(shaper_freq, damping_ratio):
|
||||
v_tol = 1. / SHAPER_VIBRATION_REDUCTION # vibration tolerance
|
||||
df = math.sqrt(1. - damping_ratio**2)
|
||||
K = math.exp(-damping_ratio * math.pi / df)
|
||||
t_d = 1. / (shaper_freq * df)
|
||||
|
||||
V2 = v_tol**2
|
||||
X = pow(V2 * (math.sqrt(1. - V2) + 1.), 1./3.)
|
||||
a1 = (3.*X*X + 2.*X + 3.*V2) / (16.*X)
|
||||
a2 = (.5 - a1) * K
|
||||
a3 = a2 * K
|
||||
a4 = a1 * K * K * K
|
||||
|
||||
A = [a1, a2, a3, a4]
|
||||
T = [0., .5*t_d, t_d, 1.5*t_d]
|
||||
return (A, T)
|
||||
|
||||
def get_3hump_ei_shaper(shaper_freq, damping_ratio):
|
||||
v_tol = 1. / SHAPER_VIBRATION_REDUCTION # vibration tolerance
|
||||
df = math.sqrt(1. - damping_ratio**2)
|
||||
K = math.exp(-damping_ratio * math.pi / df)
|
||||
t_d = 1. / (shaper_freq * df)
|
||||
|
||||
K2 = K*K
|
||||
a1 = 0.0625 * (1. + 3. * v_tol + 2. * math.sqrt(2. * (v_tol + 1.) * v_tol))
|
||||
a2 = 0.25 * (1. - v_tol) * K
|
||||
a3 = (0.5 * (1. + v_tol) - 2. * a1) * K2
|
||||
a4 = a2 * K2
|
||||
a5 = a1 * K2 * K2
|
||||
|
||||
A = [a1, a2, a3, a4, a5]
|
||||
T = [0., .5*t_d, t_d, 1.5*t_d, 2.*t_d]
|
||||
return (A, T)
|
||||
|
||||
# min_freq for each shaper is chosen to have projected max_accel ~= 1500
|
||||
INPUT_SHAPERS = [
|
||||
InputShaperCfg('zv', get_zv_shaper, min_freq=21.),
|
||||
InputShaperCfg('mzv', get_mzv_shaper, min_freq=23.),
|
||||
InputShaperCfg('zvd', get_zvd_shaper, min_freq=29.),
|
||||
InputShaperCfg('ei', get_ei_shaper, min_freq=29.),
|
||||
InputShaperCfg('2hump_ei', get_2hump_ei_shaper, min_freq=39.),
|
||||
InputShaperCfg('3hump_ei', get_3hump_ei_shaper, min_freq=48.),
|
||||
]
|
|
@ -6,12 +6,12 @@
|
|||
#
|
||||
# This file may be distributed under the terms of the GNU GPLv3 license.
|
||||
from __future__ import print_function
|
||||
import optparse, os, sys
|
||||
import importlib, optparse, os, sys
|
||||
from textwrap import wrap
|
||||
import numpy as np, matplotlib
|
||||
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)),
|
||||
'..', 'klippy', 'extras'))
|
||||
from shaper_calibrate import CalibrationData, ShaperCalibrate
|
||||
'..', 'klippy'))
|
||||
shaper_calibrate = importlib.import_module('.shaper_calibrate', 'extras')
|
||||
|
||||
MAX_TITLE_LENGTH=65
|
||||
|
||||
|
@ -25,7 +25,7 @@ def parse_log(logname):
|
|||
return np.loadtxt(logname, comments='#', delimiter=',')
|
||||
# Parse power spectral density data
|
||||
data = np.loadtxt(logname, skiprows=1, comments='#', delimiter=',')
|
||||
calibration_data = CalibrationData(
|
||||
calibration_data = shaper_calibrate.CalibrationData(
|
||||
freq_bins=data[:,0], psd_sum=data[:,4],
|
||||
psd_x=data[:,1], psd_y=data[:,2], psd_z=data[:,3])
|
||||
calibration_data.set_numpy(np)
|
||||
|
@ -41,8 +41,8 @@ def parse_log(logname):
|
|||
|
||||
# Find the best shaper parameters
|
||||
def calibrate_shaper(datas, csv_output, max_smoothing):
|
||||
helper = ShaperCalibrate(printer=None)
|
||||
if isinstance(datas[0], CalibrationData):
|
||||
helper = shaper_calibrate.ShaperCalibrate(printer=None)
|
||||
if isinstance(datas[0], shaper_calibrate.CalibrationData):
|
||||
calibration_data = datas[0]
|
||||
for data in datas[1:]:
|
||||
calibration_data.add_data(data)
|
||||
|
|
|
@ -5,12 +5,12 @@
|
|||
# Copyright (C) 2020 Dmitry Butyugin <dmbutyugin@google.com>
|
||||
#
|
||||
# This file may be distributed under the terms of the GNU GPLv3 license.
|
||||
import optparse, os, sys
|
||||
import importlib, optparse, os, sys
|
||||
from textwrap import wrap
|
||||
import numpy as np, matplotlib
|
||||
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)),
|
||||
'..', 'klippy', 'extras'))
|
||||
from shaper_calibrate import ShaperCalibrate
|
||||
'..', 'klippy'))
|
||||
shaper_calibrate = importlib.import_module('.shaper_calibrate', 'extras')
|
||||
|
||||
MAX_TITLE_LENGTH=65
|
||||
|
||||
|
@ -56,7 +56,7 @@ def plot_accel(data, logname):
|
|||
|
||||
# Calculate estimated "power spectral density"
|
||||
def calc_freq_response(data, max_freq):
|
||||
helper = ShaperCalibrate(printer=None)
|
||||
helper = shaper_calibrate.ShaperCalibrate(printer=None)
|
||||
return helper.process_accelerometer_data(data)
|
||||
|
||||
def calc_specgram(data, axis):
|
||||
|
@ -155,7 +155,7 @@ def plot_specgram(data, logname, max_freq, axis):
|
|||
######################################################################
|
||||
|
||||
def write_frequency_response(datas, output):
|
||||
helper = ShaperCalibrate(printer=None)
|
||||
helper = shaper_calibrate.ShaperCalibrate(printer=None)
|
||||
calibration_data = helper.process_accelerometer_data(datas[0])
|
||||
for data in datas[1:]:
|
||||
calibration_data.add_data(helper.process_accelerometer_data(data))
|
||||
|
|
Loading…
Reference in New Issue