233 lines
7.9 KiB
Python
Executable file
233 lines
7.9 KiB
Python
Executable file
#! /usr/bin/python
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from scipy.signal import savgol_coeffs
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import numpy as np
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import sys
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import threading
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import rospy
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from std_msgs.msg import Float64, Empty
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import dynamic_reconfigure.server
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from detect_targets.cfg import ProportionalNodeConfig, IntegralNodeConfig
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from detect_targets.cfg import DerivativeNodeConfig, InputNodeConfig,
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from detect_targets.cfg import SaturateNodeConfig, RateNodeConfig
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class ControlNode(object):
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def __init__(self, refresh_time=1.0, config_class=None):
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self.last_time = rospy.get_rostime()
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self.refresh_time = rospy.Duration.from_sec(refresh_time)
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self.output = 0.0
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self.output_topic = rospy.Publisher('output', Float64, queue_size=1)
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self.input_topics = {
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"reset": rospy.Subscriber("reset", Empty, self.on_reset),
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}
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if config_class is not None:
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self.server = dynamic_reconfigure.server.Server(config_class, self.on_reconf)
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def on_reset(self, value):
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if value:
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self.output = 0.0
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def on_reconf(self, config, level):
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self.refresh_time = rospy.Duration.from_sec(config["refresh_time"])
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return config
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def on_compute(self, value):
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self.output_topic.publish(data=self.output)
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self.last_time = rospy.get_rostime()
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def check_time(self, delta_time=0.0):
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t = rospy.get_rostime()
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if delta_time == 0.0:
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delta_time = t - self.last_time
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return delta_time >= self.refresh_time, delta_time.to_sec()
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def on_mainloop(self):
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rospy.spin()
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class InputControlNode(ControlNode):
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def __init__(self, *args, **kwargs):
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super(InputControlNode, self).__init__(*args, **kwargs)
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self.input_topics["input"] = rospy.Subscriber("input", Float64, self.on_compute)
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class RateNode(InputControlNode):
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def __init__(self, *args, **kwargs):
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self.rate = rospy.Rate(20)
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self.last_input = 0
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self.lock = threading.Lock()
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super(RateNode, self).__init__(*args, **kwargs)
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def on_reconf(self, config, level):
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c = super(SaturateNode, self).on_reconf(config, level)
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self.rate = rospy.Rate(self.refresh_time)
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return c
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def on_compute(self, value):
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self.lock.acquire()
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self.last_input = value.data
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self.lock.release()
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def on_mainloop(self):
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while not rospy.is_shutdown():
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self.lock.acquire()
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self.output.publish(self.last_input)
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self.lock.release()
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self.rate.sleep()
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class ProportionalNode(InputControlNode):
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def __init__(self, k=1.0, refresh_time=1.0):
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super(ProportionalNode, self).__init__(refresh_time, ProportionalNodeConfig)
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self.k = k
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def on_reconf(self, config, level):
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self.k = config["k"]
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return super(ProportionalNode, self).on_reconf(config, level)
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def on_compute(self, value):
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time_ok,_ = self.check_time()
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if time_ok:
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self.output = self.k * value.data
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super(ProportionalNode, self).on_compute(value)
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class SaturateNode(InputControlNode):
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def __init__(self, min=None, max=None, refresh_time=1.0, config=SaturateNodeConfig):
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super(SaturateNode, self).__init__(refresh_time, config)
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self.min = min
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self.max = max
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def on_reconf(self, config, level):
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self.min = config["min"] if config["use_min"] else None
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self.max = config["max"] if config["use_max"] else None
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return super(SaturateNode, self).on_reconf(config, level)
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def on_compute(self, value):
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time_ok,_ = self.check_time()
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if time_ok:
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self.output = min(self.max or value.data, value.data)
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self.output = max(self.min or self.output, self.output)
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super(SaturateNode, self).on_compute(value)
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class IntegralNode(SaturateNode):
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def __init__(self, k=1.0, min=None, max=None, refresh_time=1.0):
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super(IntegralNode, self).__init__(min, max, refresh_time, IntegralNodeConfig)
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self.k = k
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def on_reconf(self, config, level):
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self.k = config["k"]
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return super(IntegralNode, self).on_reconf(config, level)
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def on_compute(self, value):
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time_ok, delta = self.check_time()
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if time_ok:
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self.output += value.data * delta
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return super(IntegralNode, self).on_compute(value)
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class DerivativeNode(InputControlNode):
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def __init__(self, k=0.05, size=9, polyorder=3, deriv=1, refresh_time=1.0):
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super(DerivativeNode, self).__init__(refresh_time, DerivativeNodeConfig)
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self.k = k
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self.filter = savgol_coeffs(size, polyorder, deriv, delta=refresh_time, use='dot')
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self.last_points = np.zeros(size)
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def on_reconf(self, config, level):
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self.k = config["k"]
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try:
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self.filter = savgol_coeffs(
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config["size"],
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config["poly_order"],
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config["deriv"],
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delta=config["refresh_time"],
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use='dot'
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)
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except ValueError as e:
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rospy.logerr(e)
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self.last_points = np.zeros(config["size"])
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return super(DerivativeNode, self).on_reconf(config, level)
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def on_compute(self, value):
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time_ok, delta = self.check_time()
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if time_ok:
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self.last_points = np.concatenate([self.last_points[1:], [value.data]])
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self.output = self.last_points.dot(self.filter)
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return super(DerivativeNode, self).on_compute(value)
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def on_reset(self, value):
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if value:
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self.last_points = np.zeros(len(self.filter))
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return super(DerivativeNode, self).on_reset(value)
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class DifferenciateNode(InputControlNode):
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def __init__(self):
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self.measure = 0.0
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self.input = 0.0
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super(DifferenciateNode, self).__init__()
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self.input_topics["measure"] = rospy.Subscriber("measure", Float64, self.on_compute_measure)
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def on_compute(self, value):
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self.input = value.data
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self.output = self.input - self.measure
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super(DifferenciateNode, self).on_compute(value)
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def on_compute_measure(self, value):
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self.measure = value.data
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self.output = self.input - self.measure
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super(DifferenciateNode, self).on_compute(value)
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class InputNode(InputControlNode):
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def __init__(self):
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super(InputNode, self).__init__(refresh_time=1.0, config_class=InputNodeConfig)
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def on_reconf(self, config, level):
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self.output = config["value"]
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super(InputNode, self).on_compute(config["value"])
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return config
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def on_compute(self, value):
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self.output = value.data
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super(InputNode, self).on_compute(value)
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class SumNode(ControlNode):
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def __init__(self, nb_topics):
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super(SumNode, self).__init__(refresh_time=1.0)
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self.nb_topics = int(nb_topics)
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self.inputs = dict()
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for i in range(self.nb_topics):
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topic_name = 'input_'+str(i)
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self.input_topics[topic_name] = rospy.Subscriber(topic_name, Float64, lambda v: self.inputs.update(dict(topic_name=v.data)) or self.on_compute(v))
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def on_compute(self, value):
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self.output = sum(self.inputs.values())
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super(SumNode, self).on_compute(value)
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if __name__ == '__main__':
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nodes = {
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'sum' : (SumNode, True),
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'differenciate' : (DifferenciateNode, False),
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'input' : (InputNode, False),
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'saturate' : (SaturateNode, False),
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'derivative' : (DerivativeNode, False),
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'integral' : (IntegralNode, False),
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'proportional' : (ProportionalNode, False),
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'rate': (RateNode, False),
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}
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rospy.init_node('control_node', anonymous=True)
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try:
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node_class, need_param = nodes[sys.argv[1]]
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except KeyError as e:
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raise ValueError(sys.argv[1] + " is not a valid node name.")
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if need_param:
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param = sys.argv[2]
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node = node_class(param)
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else:
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node = node_class()
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node.on_mailoop()
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