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@ -37,6 +37,7 @@ if($ENV{ROS_VERSION} EQUAL 1)
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catkin_install_python(PROGRAMS
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src/PIDController.py
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src/BellandeController.py
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DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}
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)
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@ -49,6 +50,7 @@ else()
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install(PROGRAMS
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src/PIDController.py
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src/BellandeController.py
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DESTINATION lib/${PROJECT_NAME}
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)
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@ -18,7 +18,7 @@ from catkin_pkg.python_setup import generate_distutils_setup
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# fetch values from package.xml
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setup_args = generate_distutils_setup(
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scripts=['src/PIDController.py'],
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scripts=['src/PIDController.py', "src/BellandeController.py"],
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packages=['humanoid_robot_intelligence_control_system_controller'],
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package_dir={'': 'src'},
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)
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@ -0,0 +1,69 @@
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#!/usr/bin/env python3
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# Copyright (C) 2024 Bellande Robotics Sensors Research Innovation Center, Ronaldson Bellande
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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import os
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import time
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from typing import Tuple
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ros_version = os.getenv("ROS_VERSION")
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if ros_version == "1":
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import rospy
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from std_msgs.msg import Float64
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elif ros_version == "2":
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import rclpy
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from rclpy.node import Node
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from std_msgs.msg import Float64
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else:
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raise ValueError("Invalid ROS version. Set ROS_VERSION environment variable to '1' or '2'.")
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class BellandeController:
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def __init__(self, gains: Tuple[float, float, float], name: str, output_limits: Tuple[float, float] = (-float('inf'), float('inf'))):
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self.kp, self.ki, self.kd = gains
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self.name = name
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self.output_limits = output_limits
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self.reset()
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if ros_version == "1":
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rospy.init_node('bellande_controller', anonymous=True)
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self.subscriber = rospy.Subscriber('control_output', Float64, self.callback)
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elif ros_version == "2":
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rclpy.init()
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self.node = Node('bellande_controller')
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self.subscriber = self.node.create_subscription(Float64, 'control_output', self.callback, 10)
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def reset(self):
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self.last_error = 0
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self.integral = 0
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self.last_time = time.time()
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def update_config(self, gains: Tuple[float, float, float]):
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self.kp, self.ki, self.kd = gains
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def callback(self, msg):
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print(f"Received control output: {msg.data}")
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def run(self):
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if ros_version == "1":
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rospy.spin()
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elif ros_version == "2":
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rclpy.spin(self.node)
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def shutdown(self):
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if ros_version == "2":
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self.node.destroy_node()
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rclpy.shutdown()
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@ -0,0 +1,50 @@
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#!/usr/bin/env python3
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# Copyright (C) 2024 Bellande Robotics Sensors Research Innovation Center, Ronaldson Bellande
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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import time
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from typing import Dict, List, Tuple
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class PIDController:
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def __init__(self, gains: Tuple[float, float, float], name: str, output_limits: Tuple[float, float] = (-float('inf'), float('inf'))):
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self.kp, self.ki, self.kd = gains
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self.name = name
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self.output_limits = output_limits
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self.reset()
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def reset(self):
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self.last_error = 0
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self.integral = 0
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self.last_time = time.time()
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def compute(self, setpoint: float, process_variable: float) -> float:
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current_time = time.time()
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dt = current_time - self.last_time
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error = setpoint - process_variable
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self.integral += error * dt
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derivative = (error - self.last_error) / dt if dt > 0 else 0
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output = self.kp * error + self.ki * self.integral + self.kd * derivative
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output = max(min(output, self.output_limits[1]), self.output_limits[0])
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self.last_error = error
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self.last_time = current_time
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return output
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def update_config(self, gains: Tuple[float, float, float]):
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self.kp, self.ki, self.kd = gains
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