several improvements and bugfixes
+ rework GUI - include a combobox for selection of visibility - include a checkbox wether validation should be done in the client - remove unused lineEdit + improve datatypes + improve tests for new descriptive data + metaclasse: fix overlooked read_* or write_* func's + improve polling + Introduce new ErrorClasses + dispatcher: use new features of datatypes + PARAMS + improve lib + autopep8 + first working version of MLZ_entangle integration + split specific stuff into it's own package (MLZ,demo,ess) Change-Id: I8ac3ce871b28f44afecbba6332ca741095426712
This commit is contained in:

committed by
Alexander Lenz

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376
secop_demo/cryo.py
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376
secop_demo/cryo.py
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# *****************************************************************************
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# This program is free software; you can redistribute it and/or modify it under
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# the terms of the GNU General Public License as published by the Free Software
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# Foundation; either version 2 of the License, or (at your option) any later
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# version.
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#
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# This program is distributed in the hope that it will be useful, but WITHOUT
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# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
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# details.
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#
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# You should have received a copy of the GNU General Public License along with
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# this program; if not, write to the Free Software Foundation, Inc.,
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# 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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#
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# Module authors:
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# Enrico Faulhaber <enrico.faulhaber@frm2.tum.de>
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# *****************************************************************************
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"""playing implementation of a (simple) simulated cryostat"""
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from math import atan
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import time
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import random
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import threading
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from secop.modules import Driveable, CMD, PARAM
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from secop.protocol import status
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from secop.datatypes import FloatRange, EnumType, TupleOf
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from secop.lib import clamp, mkthread
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class CryoBase(Driveable):
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pass
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class Cryostat(CryoBase):
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"""simulated cryostat with:
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- heat capacity of the sample
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- cooling power
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- thermal transfer between regulation and samplen
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"""
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PARAMS = dict(
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jitter=PARAM("amount of random noise on readout values",
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datatype=FloatRange(0, 1), unit="K",
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default=0.1, readonly=False, export=False,
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),
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T_start=PARAM("starting temperature for simulation",
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datatype=FloatRange(0), default=10,
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export=False,
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),
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looptime=PARAM("timestep for simulation",
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datatype=FloatRange(0.01, 10), unit="s", default=1,
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readonly=False, export=False,
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),
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ramp=PARAM("ramping speed of the setpoint",
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datatype=FloatRange(0, 1e3), unit="K/min", default=1,
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readonly=False,
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),
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setpoint=PARAM("current setpoint during ramping else target",
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datatype=FloatRange(), default=1, unit='K',
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),
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maxpower=PARAM("Maximum heater power",
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datatype=FloatRange(0), default=1, unit="W",
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readonly=False,
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group='heater_settings',
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),
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heater=PARAM("current heater setting",
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datatype=FloatRange(0, 100), default=0, unit="%",
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group='heater_settings',
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),
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heaterpower=PARAM("current heater power",
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datatype=FloatRange(0), default=0, unit="W",
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group='heater_settings',
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),
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target=PARAM("target temperature",
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datatype=FloatRange(0), default=0, unit="K",
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readonly=False,
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),
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value=PARAM("regulation temperature",
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datatype=FloatRange(0), default=0, unit="K",
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),
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pid=PARAM("regulation coefficients",
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datatype=TupleOf(FloatRange(0), FloatRange(0, 100),
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FloatRange(0, 100)),
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default=(40, 10, 2), readonly=False,
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group='pid',
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),
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p=PARAM("regulation coefficient 'p'",
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datatype=FloatRange(0), default=40, unit="%/K", readonly=False,
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group='pid',
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),
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i=PARAM("regulation coefficient 'i'",
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datatype=FloatRange(0, 100), default=10, readonly=False,
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group='pid',
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),
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d=PARAM("regulation coefficient 'd'",
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datatype=FloatRange(0, 100), default=2, readonly=False,
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group='pid',
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),
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mode=PARAM("mode of regulation",
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datatype=EnumType('ramp', 'pid', 'openloop'),
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default='ramp',
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readonly=False,
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),
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pollinterval=PARAM("polling interval",
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datatype=FloatRange(0), default=5,
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),
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tolerance=PARAM("temperature range for stability checking",
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datatype=FloatRange(0, 100), default=0.1, unit='K',
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readonly=False,
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group='stability',
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),
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window=PARAM("time window for stability checking",
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datatype=FloatRange(1, 900), default=30, unit='s',
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readonly=False,
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group='stability',
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),
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timeout=PARAM("max waiting time for stabilisation check",
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datatype=FloatRange(1, 36000), default=900, unit='s',
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readonly=False,
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group='stability',
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),
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)
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CMDS = dict(
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Stop=CMD(
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"Stop ramping the setpoint\n\nby setting the current setpoint as new target",
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[],
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None),
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)
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def init(self):
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self._stopflag = False
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self._thread = mkthread(self.thread)
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def read_status(self, maxage=0):
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# instead of asking a 'Hardware' take the value from the simulation
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return self.status
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def read_value(self, maxage=0):
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# return regulation value (averaged regulation temp)
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return self.regulationtemp + \
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self.jitter * (0.5 - random.random())
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def read_target(self, maxage=0):
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return self.target
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def write_target(self, value):
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value = round(value, 2)
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if value == self.target:
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# nothing to do
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return value
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self.target = value
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# next read_status will see this status, until the loop updates it
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self.status = status.BUSY, 'new target set'
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return value
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def read_maxpower(self, maxage=0):
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return self.maxpower
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def write_maxpower(self, newpower):
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# rescale heater setting in % to keep the power
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heat = max(0, min(100, self.heater * self.maxpower / float(newpower)))
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self.heater = heat
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self.maxpower = newpower
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return newpower
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def write_pid(self, newpid):
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self.p, self.i, self.d = newpid
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return (self.p, self.i, self.d)
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def read_pid(self, maxage=0):
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return (self.p, self.i, self.d)
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def doStop(self):
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# stop the ramp by setting current setpoint as target
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# XXX: discussion: take setpoint or current value ???
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self.write_target(self.setpoint)
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#
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# calculation helpers
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#
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def __coolerPower(self, temp):
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"""returns cooling power in W at given temperature"""
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# quadratic up to 42K, is linear from 40W@42K to 100W@600K
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# return clamp((temp-2)**2 / 32., 0., 40.) + temp * 0.1
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return clamp(15 * atan(temp * 0.01)**3, 0., 40.) + temp * 0.1 - 0.2
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def __coolerCP(self, temp):
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"""heat capacity of cooler at given temp"""
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return 75 * atan(temp / 50)**2 + 1
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def __heatLink(self, coolertemp, sampletemp):
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"""heatflow from sample to cooler. may be negative..."""
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flow = (sampletemp - coolertemp) * \
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((coolertemp + sampletemp) ** 2) / 400.
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cp = clamp(
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self.__coolerCP(coolertemp) * self.__sampleCP(sampletemp), 1, 10)
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return clamp(flow, -cp, cp)
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def __sampleCP(self, temp):
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return 3 * atan(temp / 30) + \
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12 * temp / ((temp - 12.)**2 + 10) + 0.5
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def __sampleLeak(self, temp):
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return 0.02 / temp
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def thread(self):
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self.sampletemp = self.T_start
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self.regulationtemp = self.T_start
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self.status = status.OK, ''
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while not self._stopflag:
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try:
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self.__sim()
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except Exception as e:
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self.log.exception(e)
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self.status = status.ERROR, str(e)
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def __sim(self):
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# complex thread handling:
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# a) simulation of cryo (heat flow, thermal masses,....)
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# b) optional PID temperature controller with windup control
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# c) generating status+updated value+ramp
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# this thread is not supposed to exit!
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self.setpoint = self.target
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# local state keeping:
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regulation = self.regulationtemp
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sample = self.sampletemp
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# keep history values for stability check
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window = []
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timestamp = time.time()
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heater = 0
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lastflow = 0
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last_heaters = (0, 0)
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delta = 0
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I = D = 0
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lastD = 0
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damper = 1
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lastmode = self.mode
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while not self._stopflag:
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t = time.time()
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h = t - timestamp
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if h < self.looptime / damper:
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time.sleep(clamp(self.looptime / damper - h, 0.1, 60))
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continue
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# a)
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sample = self.sampletemp
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regulation = self.regulationtemp
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heater = self.heater
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heatflow = self.__heatLink(regulation, sample)
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self.log.debug('sample = %.5f, regulation = %.5f, heatflow = %.5g'
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% (sample, regulation, heatflow))
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newsample = max(0, sample + (self.__sampleLeak(sample) - heatflow)
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/ self.__sampleCP(sample) * h)
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# avoid instabilities due to too small CP
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newsample = clamp(newsample, sample, regulation)
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regdelta = (heater * 0.01 * self.maxpower + heatflow -
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self.__coolerPower(regulation))
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newregulation = max(
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0, regulation + regdelta / self.__coolerCP(regulation) * h)
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# b) see
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# http://brettbeauregard.com/blog/2011/04/
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# improving-the-beginners-pid-introduction/
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if self.mode != 'openloop':
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# fix artefacts due to too big timesteps
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# actually i would prefer reducing looptime, but i have no
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# good idea on when to increase it back again
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if heatflow * lastflow != -100:
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if (newregulation - newsample) * (regulation - sample) < 0:
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# newregulation = (newregulation + regulation) / 2
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# newsample = (newsample + sample) / 2
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damper += 1
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lastflow = heatflow
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error = self.setpoint - newregulation
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# use a simple filter to smooth delta a little
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delta = (delta + regulation - newregulation) / 2.
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kp = self.p / 10. # LakeShore P = 10*k_p
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ki = kp * abs(self.i) / 500. # LakeShore I = 500/T_i
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kd = kp * abs(self.d) / 2. # LakeShore D = 2*T_d
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P = kp * error
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I += ki * error * h
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D = kd * delta / h
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# avoid reset windup
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I = clamp(I, 0., 100.) # I is in %
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# avoid jumping heaterpower if switching back to pid mode
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if lastmode != self.mode:
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# adjust some values upon switching back on
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I = self.heater - P - D
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v = P + I + D
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# in damping mode, use a weighted sum of old + new heaterpower
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if damper > 1:
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v = ((damper**2 - 1) * self.heater + v) / damper**2
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# damp oscillations due to D switching signs
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if D * lastD < -0.2:
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v = (v + heater) / 2.
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# clamp new heater power to 0..100%
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heater = clamp(v, 0., 100.)
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lastD = D
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self.log.debug('PID: P = %.2f, I = %.2f, D = %.2f, '
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'heater = %.2f' % (P, I, D, heater))
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# check for turn-around points to detect oscillations ->
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# increase damper
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x, y = last_heaters
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if (x + 0.1 < y and y > heater + 0.1) or \
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(x > y + 0.1 and y + 0.1 < heater):
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damper += 1
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last_heaters = (y, heater)
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else:
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# self.heaterpower is set manually, not by pid
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heater = self.heater
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last_heaters = (0, 0)
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heater = round(heater, 1)
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sample = newsample
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regulation = newregulation
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lastmode = self.mode
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# c)
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if self.setpoint != self.target:
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if self.ramp == 0:
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maxdelta = 10000
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else:
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maxdelta = self.ramp / 60. * h
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try:
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self.setpoint = round(self.setpoint + clamp(
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self.target - self.setpoint, -maxdelta, maxdelta), 3)
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self.log.debug('setpoint changes to %r (target %r)' %
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(self.setpoint, self.target))
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except (TypeError, ValueError):
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# self.target might be None
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pass
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# temperature is stable when all recorded values in the window
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# differ from setpoint by less than tolerance
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currenttime = time.time()
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window.append((currenttime, sample))
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while window[0][0] < currenttime - self.window:
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# remove old/stale entries
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window.pop(0)
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# obtain min/max
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deviation = 0
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for _, T in window:
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if abs(T - self.target) > deviation:
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deviation = abs(T - self.target)
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if (len(window) < 3) or deviation > self.tolerance:
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self.status = status.BUSY, 'unstable'
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elif self.setpoint == self.target:
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self.status = status.OK, 'at target'
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damper -= (damper - 1) / 10. # max value for damper is 11
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else:
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self.status = status.BUSY, 'ramping setpoint'
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damper -= (damper - 1) / 20.
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self.regulationtemp = round(regulation, 3)
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self.sampletemp = round(sample, 3)
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self.heaterpower = round(heater * self.maxpower * 0.01, 3)
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self.heater = heater
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timestamp = t
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self.read_value()
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def shutdown(self):
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# should be called from server when the server is stopped
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self._stopflag = True
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if self._thread and self._thread.isAlive():
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self._thread.join()
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