1. Gazebo 是什么
Gazebo 是开源机器人三维仿真平台，用来构建虚拟世界、机器人模型、传感器、物理环境和控制接口。它常用于无人机、移动机器人、机械臂、自动驾驶小车、船舶、室内导航、视觉算法和多机协同测试。
需要注意：现在官方文档中的 Gazebo 通常指新一代 Gazebo，也曾叫 Ignition Gazebo；旧版本叫 Gazebo Classic。PX4 官方说明中，新 Gazebo 是 Ubuntu 22.04 及以后主要支持的版本。
Gazebo 能做的事：
| 能力 | 说明 |
|---|---|
| 三维场景 | 平地、墙体、仓库、草地、水域、移动平台、风场等 |
| 机器人模型 | 使用 SDF/URDF 描述机体、连杆、关节、质量、惯量、碰撞体 |
| 物理仿真 | 重力、碰撞、摩擦、关节约束、升力阻力插件、风、接触 |
| 传感器仿真 | 相机、深度相机、激光雷达、IMU、GPS、测距仪 |
| 控制接口 | 与 PX4、ArduPilot、ROS 2、MAVLink、ros_gz_bridge 配合 |
| 自动化测试 | SITL、HITL、多机、回归测试、算法验证 |
2. Gazebo 的基本使用流程
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选择 world 场景
加载 SDF/URDF 模型
启动物理引擎和传感器
PX4 SITL 或 ROS 控制
QGroundControl/RViz/日志分析
2.1 PX4 中启动 Gazebo
在 PX4-Autopilot 根目录中运行：
bash
make px4_sitl gz_x500常见 PX4 Gazebo 目标：
| 目标 | 命令 | 用途 |
|---|---|---|
| X500 四旋翼 | make px4_sitl gz_x500 |
基础多旋翼飞行 |
| X500 深度相机 | make px4_sitl gz_x500_depth |
避障、点云、视觉 |
| X500 视觉里程计 | make px4_sitl gz_x500_vision |
VIO、定位 |
| X500 下视单目相机 | make px4_sitl gz_x500_mono_cam_down |
精准降落、ArUco |
| X500 2D 激光雷达 | make px4_sitl gz_x500_lidar_2d |
碰撞预防 |
| 固定翼 | make px4_sitl gz_rc_cessna |
固定翼飞控测试 |
| VTOL | make px4_sitl gz_standard_vtol |
垂起固定翼 |
| Rover | make px4_sitl gz_rover_ackermann |
地面车 |
2.2 改变仿真速度
PX4 Gazebo 支持 lockstep，同步 PX4 与 Gazebo 时间。可以加快或放慢仿真：
bash
PX4_SIM_SPEED_FACTOR=2 make px4_sitl gz_x500
PX4_SIM_SPEED_FACTOR=0.5 make px4_sitl gz_x5002.3 选择世界
PX4 支持默认世界、Aruco、Baylands、Rover、Walls、Windy、Moving Platform 等。示例：
bash
PX4_GZ_WORLD=windy make px4_sitl gz_x500
PX4_GZ_MODEL_POSE=0,0,2.2 PX4_GZ_WORLD=moving_platform make px4_sitl gz_standard_vtol3. PX4 的模型是怎么设计实现的
PX4 Gazebo 模型通常由这些部分组成：
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model.sdf
model.config
meshes 视觉/碰撞网格
传感器定义
Gazebo 插件
link: 机臂/机身/电机/云台
joint: 固定/转动/云台关节
质量/惯量/重心
PX4 GZ Bridge/MAVLink
核心设计点：
| 模块 | 设计内容 |
|---|---|
| 几何外形 | 视觉 mesh 和碰撞体 collision 可分开，视觉好看，碰撞简单 |
| 质量属性 | 每个 link 要设置 mass、inertia、pose，否则动力学不可信 |
| 电机/旋翼 | 由关节、推进力模型、控制通道映射共同决定 |
| 传感器 | camera、depth camera、lidar、IMU、GPS 等在 SDF 中定义 |
| 插件 | 处理升力、阻力、风、传感器输出、飞控接口 |
| 参数映射 | PX4 airframe 参数决定机型、执行器数量、控制分配 |
4. 怎么实现模拟仿真
无人机仿真不是只显示一个模型，而是把飞控、动力学、传感器、环境和地面站串起来：
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最常见实现路线：
- 用 PX4 SITL 运行真实飞控软件。
- 用 Gazebo 运行物理世界和机体模型。
- 用 QGroundControl 连接 MAVLink，执行起飞、降落、航点任务。
- 用 ROS 2 接收图像、点云、里程计，运行 SLAM、避障、路径规划。
- 用日志工具分析姿态、位置、执行器输出、电池、电机等数据。
5. Gazebo 使用方法和用途
5.1 机器人建模
Gazebo 可直接加载 SDF，也可通过 ROS 使用 URDF/Xacro。SDF 更适合完整仿真世界；URDF 更适合 ROS 机器人描述。复杂机器人常用 Xacro 生成 URDF，再给 Gazebo 增加 <gazebo> 标签或转 SDF。
5.2 传感器算法验证
可验证：
- 相机目标识别
- 深度相机点云避障
- 2D/3D LiDAR 建图
- GPS 丢失后的视觉/惯性定位
- 光流定点
- 精准降落
5.3 多机仿真
PX4 支持多机 Gazebo 仿真。关键是给每架飞机不同实例 ID、模型名、MAVLink 端口和 ROS 命名空间。
5.4 风场、移动平台和特殊环境
Gazebo 可以配置风、移动平台、墙体、地形、水面、动态障碍物。用于无人机甲板降落、强风稳定性、避障策略和编队控制。
5.5 能否做受力分析
Gazebo 可以做运行时动力学仿真，例如重力、碰撞、摩擦、升力、阻力、关节力矩、接触力等。但它不是专业有限元软件，不能替代 Ansys、Abaqus、COMSOL 对机臂强度、螺旋桨叶片应力、结构疲劳做高精度分析。工程上通常用：
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Ansys/COMSOL/SolidWorks Simulation
Gazebo 运动/控制仿真
质量/刚度/惯量/载荷参数
参考资料
- PX4 Gazebo Simulation: https://docs.px4.io/main/en/sim_gazebo_gz/
- PX4 Simulation: https://docs.px4.io/main/en/simulation/
- PX4 Gazebo Vehicles: https://docs.px4.io/v1.16/en/sim_gazebo_gz/vehicles
- PX4 Gazebo Worlds: https://docs.px4.io/main/en/sim_gazebo_gz/worlds
- Gazebo URDF/SDF: https://gazebosim.org/docs/fortress/spawn_urdf