Add the FOPDT and PID modules
The First Order Plus Delay Time module is a model of a controlled system that is useful in modelling and simulating process control systems. The Proportional Integral Differential module is a control system that is useful in controlling process control systems. This is not fully functional yet.
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site_ansto/instrument/util/fopdt.py
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123
site_ansto/instrument/util/fopdt.py
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#!/usr/bin/env python
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# vim: ft=python ts=8 sts=4 sw=4 expandtab autoindent smartindent nocindent
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# Classes for device simulation using: First Order Plus Delay Time (FOPDT)
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#
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# Author: Unknown
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# Finder: Douglas Clowes
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"""
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The class fopdt is a container for one or more fopdt_sink objects.
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I am guessing that an fopdt_sink is a FOPDT source such as a heater element
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or FOPDT sink such as a heat leak to the environment.
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TODO:
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* look into the isinstance block in getAbsolute
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because there doesn't seem to be a 'current_value' anywhere
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"""
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from math import exp
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class fopdt_sink:
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def __init__(self, value, Kp, Tp, Td, absolute=False):
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self.value = value
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self.absolute = absolute
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self.Kp = Kp
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self.Tp = Tp
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self.Td = Td
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self.vmap = dict()
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def getAbsolute(self):
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if isinstance(self.value, fopdt):
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result = self.value.current_value
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else:
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result = self.value
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return result
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def getValue(self, tm, current):
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result = self.getAbsolute()
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# Do the timeshifting implied by Td
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t2 = round(tm)
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t1 = round(tm - self.Td)
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if not t2 in self.vmap:
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self.vmap[t2] = result
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for key in sorted(self.vmap.keys()):
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if key < t1:
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del self.vmap[key]
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else:
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break
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if t1 in self.vmap:
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result = self.vmap[t1]
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else:
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result = self.vmap[sorted(self.vmap.keys())[0]]
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# TODO should this go before timeshifting?
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if not self.absolute:
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result = result - current
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return result
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def getDelta(self, tm, current):
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value = self.getValue(tm, current)
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return (1 - exp(-1.0/self.Tp)) * self.Kp * value
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class fopdt:
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def __init__(self, pv):
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self.pv = pv
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self.sources = []
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self.sinks = []
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def AddSource(self, source):
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self.sources.append(source)
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def RemSource(self, source):
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if source in self.sources:
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self.sources.remove(source)
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def AddSink(self, sink):
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self.sinks.append(sink)
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def RemSink(self, sink):
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if sink in self.sinks:
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self.sinks.remove(sink)
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def iterate(self, tm):
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self.source_delta = 0.0
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self.sink_delta = 0.0
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for sink in self.sources:
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self.source_delta = self.source_delta + sink.getDelta(tm, self.pv)
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for sink in self.sinks:
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self.sink_delta = self.sink_delta + sink.getDelta(tm, self.pv)
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self.old_value = self.pv
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self.new_value = self.pv + self.source_delta + self.sink_delta
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self.pv = self.new_value
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if __name__ == "__main__":
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dev = fopdt(20)
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source = fopdt_sink(20, 2, 13, 10, False)
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dev.AddSource(source)
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dev.AddSource(source)
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dev.AddSource(source)
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dev.AddSource(source)
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sink = fopdt_sink(20, 1, 30, 1, False)
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dev.AddSink(sink)
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dev.AddSink(sink)
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min = max = dev.pv
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fd = open("test.csv", "w")
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fd.write("Time,value,source,source_v,sink,sink_v\n")
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for i in range(0,300+ 1):
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if i == 15:
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source.value = 30
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elif i == 45:
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source.value = 10
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dev.iterate(i)
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current = dev.pv
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if current > max:
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max = current
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if current < min:
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min = current
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#print "%3d: %6.3f = %6.3f + %6.3f + %6.3f" % ( i, current, prev, delta_in, delta_out )
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line = "%d,%.3f,%.3f,%.3f,%.3f,%.3f" % (i, current, source.value, dev.source_delta, sink.value, dev.sink_delta)
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fd.write(line + "\n")
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fd.close()
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print "Now: %6.3f, Min: %6.3f, Max: %6.3f" % (current, min, max)
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119
site_ansto/instrument/util/pid.py
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119
site_ansto/instrument/util/pid.py
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@@ -0,0 +1,119 @@
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#!/usr/bin/env python
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# vim: ft=python ts=8 sts=4 sw=4 expandtab autoindent smartindent nocindent
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#
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# Class for device simulation using: Proportional-Integral-Derivative (PID)
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#
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# This recipe gives simple implementation of a Discrete
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# Proportional-Integral-Derivative (PID) controller.
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#
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# PID controller gives output value for error between desired reference input and
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# measurement feedback to minimize error value.
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#
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# More information: http://en.wikipedia.org/wiki/PID_controller
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#
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# cnr437@gmail.com
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#
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####### Example #########
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#
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# p=PID(3.0,0.4,1.2)
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# p.setPoint(5.0)
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# while True:
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# pid = p.update(measurement_value)
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#
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#
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"""
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TODO:
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* Look into making the update time based because the logic seems to assume constant (1 second) time
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- Derivator should be dE/dT but is just dE
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- Integrator should be sigma(dT*E) but is just sigma(E)
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* Look into making the Derivator based on changes in the PV instead of the Error
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"""
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class PID:
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"""
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Discrete PID control
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"""
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def __init__(self, P=2.0, I=0.0, D=1.0, Derivator=0, Integrator=0, Integrator_max=500, Integrator_min=-500):
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self.Kp=P
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self.Ki=I
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self.Kd=D
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self.Derivator=Derivator
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self.Integrator=Integrator
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self.Integrator_max=Integrator_max
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self.Integrator_min=Integrator_min
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self.set_point=0.0
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self.error=0.0
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def update(self,current_value):
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"""
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Calculate PID output value for given reference input and feedback
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"""
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self.error = self.set_point - current_value
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self.P_value = self.Kp * self.error
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# TODO: check the sign is correct
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self.D_value = self.Kd * (current_value - self.Derivator)
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self.Derivator = current_value
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self.Integrator = self.Integrator + self.error
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if self.Integrator > self.Integrator_max:
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self.Integrator = self.Integrator_max
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elif self.Integrator < self.Integrator_min:
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self.Integrator = self.Integrator_min
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self.I_value = self.Integrator * self.Ki
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PID = self.P_value + self.I_value + self.D_value
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return PID
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def setPoint(self,set_point):
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"""
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Initilize the setpoint of PID
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"""
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self.set_point = set_point
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self.Integrator=0
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self.Derivator=0
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def setIntegrator(self, Integrator):
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self.Integrator = Integrator
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def setDerivator(self, Derivator):
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self.Derivator = Derivator
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def setKp(self,P):
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self.Kp=P
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def setKi(self,I):
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self.Ki=I
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def setKd(self,D):
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self.Kd=D
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def getPoint(self):
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return self.set_point
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def getError(self):
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return self.error
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def getIntegrator(self):
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return self.Integrator
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def getDerivator(self):
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return self.Derivator
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if __name__ == "__main__":
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#p=PID(3.0,0.4,1.2)
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#p.setPoint(5.0)
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#while True:
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# pid = p.update(measurement_value)
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p = PID(3.0, 0.4, 1.2)
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p.setPoint(20.0)
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pv = 20
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for i in range(0,61):
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print p.update(pv)
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