The ros2_control framework is released for ROS2 Foxy.
To use it, you have to install
Other dependencies are installed automatically.
If you want to install the framework from source use following commands in your workspace main folder:
wget https://raw.githubusercontent.com/ros-controls/ros2_control/master/ros2_control/ros2_control.repos vcs import src < ros2_control.repos
The ros2_control framework’s source can be found in ros2_control and ros2_controllers GitHub-repositories. The following figure shows the architecture of the ros2_control framework.
The Controller Manager (CM) connects the controllers’ and hardware-abstraction sides of the ros2_control framework.
It also serves as the entry-point for users through ROS services.
The CM implements a node without an executor so it can be integrated into a custom setup.
Still, for a standard user, it is recommended to use the default node-setup implemented in ros2_control_node file from the
This manual assumes that you use this default node-setup.
On the one side, CM manages (e.g., loading, activating, deactivating, unloading) controllers and from them required interfaces. On the other side, it has access to the hardware components (through Resource Manager), i.e., their interfaces. The Controller Manager matches required and provided interfaces, gives controllers access to hardware when activated, or reports an error if there is an access conflict.
The execution of the control-loop is managed by the CM’s
The method reads data from the hardware components, updates outputs of all active controllers, and writes the result to the components.
The Resource Manager (RM) abstracts physical hardware and its drivers (called hardware components) for the ros2_control framework.
The RM loads the components using
pluginlib-library, manages their lifecycle and components’ state and command interfaces.
This abstraction provided by RM enables re-usability of implemented hardware components, e.g., robot and gripper, without any implementation and flexible hardware application for state and command interfaces, e.g., separate hardware/communication libraries for motor control and encoder reading.
In the control loop execution, the RM’s
write() methods deal with communication to the hardware components.
The controllers in the ros2_control framework have the same functionality as defined in the control theory. They compare the reference value with the measured output and, based on this error, calculate a system’s input (for more details, visit Wikipedia).
The controlles are objects derived from ControllerInterface (
controller_interface package in ros2_control) and exported as plugins using
For example of on controller check ForwardCommandController implementation in the ros2_controllers repository.
The controllers’ lifecycle is based on the LifecycleNode-Class implementing the state machine as described in the Node Lifecycle Design document.
When executing the control-loop
update() method is called.
The method can access the latest hardware states and enable the controller to write the hardware’s command interfaces.
Users interact with the ros2_control framework using Controller Manager’s services.
For a list of services and their definitions, check the
srv folder in the controller_manager_msgs package.
While service calls can be used directly from the command line or via nodes, there exists a user-friendly
Command Line Interface (CLI) which integrates with the
ros2 cli. This supports auto-complete and has a range of common commands available. The base command is
For the description of our CLI capabilities, see the
README.md file of the ros2controlcli package.
The hardware components realize communication to physical hardware and represent its abstraction in the ros2_control framework.
The components have to be exported as plugins using
The Resource Manager dynamically loads those plugins and manages their lifecycle.
There are three basic types of components:
Complex (multi-DOF) robotic hardware like industrial robots. The main difference between the Actuator component is the possibility to use complex transmissions like needed for humanoid robot’s hands. This component has reading and writing capabilities. It is used when the is only one logical communication channel to the hardware (e.g., KUKA-RSI).
Robotic hardware is used for sensing its environment. A sensor component is related to a joint (e.g., encoder) or a link (e.g., force-torque sensor). This component type has only reading capabilities.
Simple (1 DOF) robotic hardware like motors, valves, and similar. An actuator implementation is related to only one joint. This component type has reading and writing capabilities. Reading is not mandatory if not possible (e.g., DC motor control with Arduino board). The actuator type can also be used with a multi-DOF robot if its hardware enables modular design, e.g., CAN-communication with each motor independently.
A detailed explanation of hardware components is given in the Hardware Access through Controllers design document.
Hardware Description in URDF
The ros2_control framework uses the
<ros2_control>-tag in the robot’s URDF file to describe its components, i.e., the hardware setup.
The chosen structure enables tracking together multiple xacro-macros into one without any changes.
The example hereunder shows a position-controlled robot with 2-DOF (RRBot), an external 1-DOF force-torque sensor, and an externally controlled 1-DOF parallel gripper as its end-effector.
For more examples and detailed explanations, check ros2_control_demos repository and ROS2 Control Components URDF Examples design document.
<ros2_control name="RRBotSystemPositionOnly" type="system"> <hardware> <plugin>ros2_control_demo_hardware/RRBotSystemPositionOnlyHardware</plugin> <param name="example_param_write_for_sec">2</param> <param name="example_param_read_for_sec">2</param> </hardware> <joint name="joint1"> <command_interface name="position"> <param name="min">-1</param> <param name="max">1</param> </command_interface> <state_interface name="position"/> </joint> <joint name="joint2"> <command_interface name="position"> <param name="min">-1</param> <param name="max">1</param> </command_interface> <state_interface name="position"/> </joint> </ros2_control> <ros2_control name="RRBotForceTorqueSensor1D" type="sensor"> <hardware> <plugin>ros2_control_demo_hardware/ForceTorqueSensor1DHardware</plugin> <param name="example_param_read_for_sec">0.43</param> </hardware> <sensor name="tcp_fts_sensor"> <state_interface name="force"/> <param name="frame_id">rrbot_tcp</param> <param name="min_force">-100</param> <param name="max_force">100</param> </sensor> </ros2_control> <ros2_control name="RRBotGripper" type="actuator"> <hardware> <plugin>ros2_control_demo_hardware/PositionActuatorHardware</plugin> <param name="example_param_write_for_sec">1.23</param> <param name="example_param_read_for_sec">3</param> </hardware> <joint name="gripper_joint "> <command_interface name="position"> <param name="min">0</param> <param name="max">50</param> </command_interface> <state_interface name="position"/> <state_interface name="velocity"/> </joint> </ros2_control>
Running the Framework for Your Robot
To run the ros2_control framework, do the following. The example files can be found in the ros2_control_demos repository.
Create a YAML file with the configuration of the controller manager and two controllers. (Example configuration for RRBot)
Extend the robot’s URDF description with needed
<ros2_control>tags. It is recommended to use macro files (xacro) instead of pure URDF. (Example URDF for RRBot)
Create a launch file to start the node with Controller Manager. You can use a default ros2_control node (recommended) or integrate the controller manager in your software stack. (Example launch file for RRBot)
NOTE: You could alternatively use a script to create setup a skeleton of the “hardware_interface” package by using the scripts provided by one of our maintainers.