首先说的通俗一点就是跑一遍官网例子
本文将使用ros_control和gazebo插件gazebo_ros_control实现模拟控制器,并驱动机器人joint运动。
1 gazebo和ros_control数据流
ros_control的安装
sudo apt-get install ros-kinetic-ros-control ros-kinetic-ros-controllers
首先学习一些关于ros_control的基础知识
官方代码链接:
https://github.com/ros-simulation/gazebo_ros_demos
2 ros_control 基础
下面就结合具体的官方代码来分析下,是如何让仿真中的模型动起来的。首先~/catkin_ws/src/gazebo_ros_demos/rrbot_description/urdf/rrbot.xacro文件定义了两个运动关节的transmission,它的type是:transmission_interface/SimpleTransmission,它的hardwareInterface是:EffortJointInterface
派生到我的代码片
<transmission name="tran1">
<type>transmission_interface/SimpleTransmission</type>
<joint name="joint1">
<hardwareInterface>EffortJointInterface</hardwareInterface>
</joint>
<actuator name="motor1">
<hardwareInterface>EffortJointInterface</hardwareInterface>
<mechanicalReduction>1</mechanicalReduction>
</actuator>
</transmission>
接着在 ~/catkin_ws/src/gazebo_ros_demos/rrbot_description/urdf/rrbot.gazebo
里有一些传感器的。plugin:libgazebo_ros_control.so,libgazebo_ros_gpu_laser.so,libgazebo_ros_camera.so
hokuyo激光雷达的如下,也就是说即使没有传感器,也可以仿真得到传感器的数据。
<gazebo reference="hokuyo_link">
<sensor type="gpu_ray" name="head_hokuyo_sensor">
<pose>0 0 0 0 0 0</pose>
<visualize>false</visualize>
<update_rate>40</update_rate>
<ray>
<scan>
<horizontal>
<samples>720</samples>
<resolution>1</resolution>
<min_angle>-1.570796</min_angle>
<max_angle>1.570796</max_angle>
</horizontal>
</scan>
<range>
<min>0.10</min>
<max>30.0</max>
<resolution>0.01</resolution>
</range>
<noise>
<type>gaussian</type>
<!-- Noise parameters based on published spec for Hokuyo laser
achieving "+-30mm" accuracy at range < 10m. A mean of 0.0m and
stddev of 0.01m will put 99.7% of samples within 0.03m of the true
reading. -->
<mean>0.0</mean>
<stddev>0.01</stddev>
</noise>
</ray>
<plugin name="gazebo_ros_head_hokuyo_controller" filename="libgazebo_ros_gpu_laser.so">
<topicName>/rrbot/laser/scan</topicName>
<frameName>hokuyo_link</frameName>
</plugin>
</sensor>
</gazebo>
关于ros_control的plugin也在这个文件中,如下
<gazebo>
<plugin name="gazebo_ros_control" filename="libgazebo_ros_control.so">
<robotNamespace>/rrbot</robotNamespace>
<robotSimType>gazebo_ros_control/DefaultRobotHWSim</robotSimType>
</plugin>
</gazebo>
再者,依照官网的解释ros_control会去读取~/catkin_ws/src/gazebo_ros_demos/rrbot_description/urdf/rrbot.xacro中的transmisson条目,每个运动关节都需要一个transmission。那么这些运动关节是以什么方式运动,或者pid参数是如何设定呢?因此就需要一个配置文件来配置这些。这里名叫~/catkin_ws/src/gazebo_ros_demos/rrbot_control/config/rrbot_control.yaml文件。Hardwareinterface的作用就在这个配置文件中体现了,注意Joint1和Joint2的type
rrbot:
# Publish all joint states -----------------------------------
joint_state_controller:
type: joint_state_controller/JointStateController
publish_rate: 50
# Position Controllers ---------------------------------------
joint1_position_controller:
type: effort_controllers/JointPositionController
joint: joint1
pid: {p: 100.0, i: 0.01, d: 10.0}
joint2_position_controller:
type: effort_controllers/JointPositionController
joint: joint2
pid: {p: 100.0, i: 0.01, d: 10.0}
具体的关于启动的文件,都写在launch文件中了,具体来说就是rrbot_world.launch和rrbot_control.launch,内容分别如下
<launch>
<!-- these are the arguments you can pass this launch file, for example paused:=true -->
<arg name="paused" default="false"/>
<arg name="use_sim_time" default="true"/>
<arg name="gui" default="true"/>
<arg name="headless" default="false"/>
<arg name="debug" default="false"/>
<!-- We resume the logic in empty_world.launch, changing only the name of the world to be launched -->
<include file="$(find gazebo_ros)/launch/empty_world.launch">
<arg name="world_name" value="$(find rrbot_gazebo)/worlds/rrbot.world"/>
<arg name="debug" value="$(arg debug)" />
<arg name="gui" value="$(arg gui)" />
<arg name="paused" value="$(arg paused)"/>
<arg name="use_sim_time" value="$(arg use_sim_time)"/>
<arg name="headless" value="$(arg headless)"/>
</include>
<!-- Load the URDF into the ROS Parameter Server -->
<param name="robot_description"
command="$(find xacro)/xacro.py '$(find rrbot_description)/urdf/rrbot.xacro'" />
<!-- Run a python script to the send a service call to gazebo_ros to spawn a URDF robot -->
<node name="urdf_spawner" pkg="gazebo_ros" type="spawn_model" respawn="false" output="screen"
args="-urdf -model rrbot -param robot_description"/>
</launch>
以下的这个lanuch文件是用来启动controller_manager和发布joint states
<launch>
<!-- Load joint controller configurations from YAML file to parameter server -->
<rosparam file="$(find rrbot_control)/config/rrbot_control.yaml" command="load"/>
<!-- load the controllers -->
<node name="controller_spawner" pkg="controller_manager" type="spawner" respawn="false"
output="screen" ns="/rrbot" args="joint_state_controller
joint1_position_controller
joint2_position_controller"/>
<!-- convert joint states to TF transforms for rviz, etc -->
<node name="robot_state_publisher" pkg="robot_state_publisher" type="robot_state_publisher"
respawn="false" output="screen">
<remap from="/joint_states" to="/rrbot/joint_states" />
</node>
</launch>
来源:CSDN
作者:穿着帆布鞋也能走猫步
链接:https://blog.csdn.net/xu1129005165/article/details/53743026