Building ArduPilot for Pixhawk/PX4 on Windows with Make

本文档详细介绍了如何在Windows环境下使用Make工具为Pixhawk/PX4构建ArduPilot固件的过程,包括安装Git、配置环境、克隆源代码仓库、设置配置文件以及构建和上传固件的具体步骤。

Building ArduPilot for Pixhawk/PX4 on Windows with Make

  1. Install GitHub for Windows
  2. Ensure your github settings are set to leave line endings untouched.
    • The “Git Shell (or Bash)” terminal was also installed when you installed Git.  Click on your new “Git Shell (or Bash)” Icon and type in the following in the Git “MINGW32″ Terminal window:
    git config --global core.autocrlf false
  3. Clone the ardupilot, PX4Firmware and PX4NuttX repositories onto your machine:
  4. Download and install the PX4 toolchain by running thepx4_toolchain_installer_v13_win.exe
  5. Create and customise the config.mk file:
      • Start the PX4Console which can be found under Start >> All Programs >> PX4 Toolchain on Windows 7 machine or you can directly run C:\px4\toolchain\msys\1.0\px4_console.bat
      • “cd” to the directory where the ardupilot firmware was installed in step #3 and then into the ArduCopter directory (be sure to capitalise the “A” and “C” of ArduCopter).  In the example above the command would be:

    cd /c/Users/<username>/Documents/GitHub/ardupilot/ArduCopter

      • create the config.mk by typing the command below.  A message should be displayed saying “WARNING – A config.mk file has been written” including the exact location of the file

    make configure

      • If the PX4Firmware and PX4NuttX repositories were created using the exact name and location shown in Step #3 there should be no need to modify the config.mk file but if the name or location are different you will need to open the config.mk file in an editor such asNotePad++ and set the PX4_ROOT and/or NUTTX_SRC values to match.

        BuildingTheCode_PX4OnWindows2

  6. Build the firmware by opening a PX4 console and cd to ArduCopter directory, then enter one of the following commands to perform a build
      1. make px4                <– will build both PX4 and PixHawk firmware for a quadcopter
      2. make px4-v2           <– will build the Pixhawk firmware for a quad
      3. make px4-v2-hexa  <– build the Pixhawk firmware for a hexacopter (other supported suffixes include “octa” and “heli”)
      4. make clean             <– “clean” the ardupilot directory
      5. make px4-clean      <– “clean” the PX4Firmware and PX4NuttX directories so the next build will completely rebuild them
      6. make px4-v2-upload  <– build and upload the Pixhawk firmware for a quad (i.e. no need to do step #7 below)
      7. The firmware will be created in the ArduCopter directory with the .px4 file extension.

    PX4_ArduCopter_Build

  7. Upload the firmware using the Mission Planner’s Initial Setup >> Install Firmware screen’s “Load custom firmware” link

Hints for speeding up compile time

Anti virus protection is likely to slow the compile times especially for PX4 so it is recommended that the folders containing the ardupilot, PX4Firmware and PX4NuttX source code are excluded from your virus protections real-time scan.
The first scan after a “make px4-clean” will be very slow as it rebuilds everything


Questions about this page? Comments? Suggestions? Post to APM Forum! Use the platform specific to your query, and make sure to include the name of the page you are referring to.

<think>我们正在处理用户关于ArduPlane和MavProxy仿真时出现的错误:'mavproxy.py'文件未找到。根据错误信息,问题可能在于系统找不到mavproxy.py脚本。这通常是由于环境变量未正确设置或安装不完整导致的。步骤:1.确认MavProxy是否已安装。用户可能已经按照ArduPilot的文档进行了安装,但需要验证。2.检查安装路径是否已添加到环境变量PATH中,这样系统才能在任何位置运行`mavproxy.py`。3.如果使用模拟脚本(如sim_vehicle.py),它内部会调用mavproxy.py,因此需要确保sim_vehicle.py能找到mavproxy.py。参考ArduPilot的官方文档,通常推荐使用源码编译安装,并在环境中设置好路径。可能的解决方案:a)如果通过git克隆源码安装,那么mavproxy.py位于ardupilot/Tools/mavproxy/目录下。需要将该目录添加到PATH中。b)如果使用包管理器(如pip)安装,那么可能已经安装到Python的脚本目录(如~/.local/bin或Python的Scripts目录),需要确保该目录在PATH中。具体步骤:1.首先,确定mavproxy.py的位置。可以使用以下命令在终端中搜索:```bashfind~-name mavproxy.py2>/dev/null```或者如果知道ardupilot的克隆目录,直接去Tools/mavproxy/下查看。2.如果找到,将包含mavproxy.py的目录添加到PATH环境变量。例如,如果路径为`/home/user/ardupilot/Tools/mavproxy`,则:```bashexport PATH=$PATH:/home/user/ardupilot/Tools/mavproxy```为了永久生效,可以将该行添加到~/.bashrc或~/.profile中。3.如果未找到,则需要安装MavProxy。可以通过pip安装:```bashpipinstall MAVProxy--user```安装后,pip会显示安装位置(通常是~/.local/bin),将该路径添加到PATH。4.另外,sim_vehicle.py脚本也需要在PATH中。该脚本通常位于ardupilot/Tools/autotest/目录下。同样需要将该目录添加到PATH,或者使用完整路径运行。5.如果用户已经安装但仍有问题,可能是由于权限问题或依赖缺失。确保所有依赖已安装(如python-dev,libxml2-dev, libxslt-dev等)。6.在运行sim_vehicle.py时,可以尝试使用完整路径调用,例如:```bash./ardupilot/Tools/autotest/sim_vehicle.py-vArduPlane--console--map```注意:需要在ardupilot目录的上一级目录运行,因为sim_vehicle.py会期望在特定目录结构下工作。7.如果上述步骤无法解决,可能需要检查Python环境是否一致(如使用virtualenv导致的环境隔离问题)。引用:ArduPilot官方文档中关于设置开发环境的部分([设置开发环境](https://ardupilot.org/dev/docs/building-setup-linux.html))和关于使用模拟器的部分([使用SITL模拟器](https://ardupilot.org/dev/docs/sitl-simulator-software-in-the-loop.html))[^1]。注意:用户上一次的问题是关于运行ArduPlane仿真时出现的错误,因此我们围绕这个环境问题提供解决方案。生成相关问题:1.如何设置ArduPilot的SITL仿真环境?2.在运行sim_vehicle.py时遇到其他错误如何解决?3. MavProxy的基本使用方法和功能有哪些?</think>### 解决 "mavproxy.py not found" 错误 这个错误通常发生在 ArduPilot 的 SITL(Software-In-The-Loop)仿真环境中,主要原因有: #### 根本原因分析 1. **环境变量未配置** `mavproxy.py` 位于 ArduPilot 源码的 `Tools/mavproxy` 目录,系统未将其加入 `PATH` 2. **依赖未完整安装** 缺少 Python 依赖或编译工具链 3. **路径引用错误** `sim_vehicle.py` 脚本调用 `mavproxy.py` 时使用了硬编码路径 #### 解决方案步骤 ##### 1. 确认 ArduPilot 源码位置 ```bash # 查找 mavproxy.py 位置 find ~ -name mavproxy.py 2>/dev/null # 典型路径示例 # /home/user/ardupilot/Tools/mavproxy/mavproxy.py ``` ##### 2. 添加环境变量 ```bash # 临时生效(替换 /path/to/ardupilot 为实际路径) export PATH=$PATH:/path/to/ardupilot/Tools/mavproxy # 永久生效 - 添加到 ~/.bashrc echo 'export PATH=$PATH:/path/to/ardupilot/Tools/mavproxy' >> ~/.bashrc source ~/.bashrc ``` ##### 3. 安装必要依赖 ```bash # 安装 Python 依赖 pip install pymavlink MAVProxy --user # 安装系统依赖 (Ubuntu/Debian) sudo apt-get install python3-dev libxml2-dev libxslt-dev ``` ##### 4. 修复脚本调用(备用方案) 编辑 `sim_vehicle.py`: ```python # 找到此行 (约第 500 行) cmd = 'mavproxy.py' # 修改为绝对路径 cmd = '/path/to/ardupilot/Tools/mavproxy/mavproxy.py' ``` ##### 5. 验证安装 ```bash # 检查 mavproxy 是否可访问 which mavproxy.py # 测试基本功能 mavproxy.py --help ``` #### 完整工作流示例 ```bash cd ~/ardupilot/ArduPlane sim_vehicle.py -v ArduPlane --console --map ``` > **注意**:首次运行时会自动下载参数文件,需保持网络连接[^1]
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