[经验]

来自Digilent的Pmod资产净值和操纵杆

2018-10-30 18:20:11

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Digilent生产各种Pmod板，我有机会与其中两个合作：NAV和JSTK2。
NAV使用LSM9DS1 3轴加速度计，3轴陀螺仪，3轴磁力计和LPS25HB数字气压计。
这是您可以访问和使用的10种不同的数据。
Digilent的Pmod资产净值和操纵杆
虽然NAV具有所有传感器，但JSTK2可用于控制您的项目。
它有一个2轴操纵杆，带有一个中央按钮和触发按钮。
它还配备了一个24位色的可编程RGB LED。
您可以使用操纵杆和按钮作为输入，同时使用RGB LED进行视觉反馈。
在示例代码中，他们列出了他们为其设计的MCU Digilent板。
如果您将这些Pmod与Digilent板配对，那么您可以在几分钟内启动并运行这些板（除非您像我一样忘记打开主板上的电源）。
使用Pmod板是我第一次体验SPI通信的好方法，特别是使用操纵杆板。
它有一些很棒的文档，很容易将它迁移到Arduino板，这是我更熟悉的。
我希望保持我的代码非常基本和易于理解，以便更容易操作。
您可以使用JSTK2来控制机器人，并使用NAV来添加一些自主功能。
您可以看到我在我的视频博客文章中关于这些部分了解这两部分。
我可以在EEWiki上找到我的所有代码以及更详细的细分，我将能够回答TechForum上的任何问题。

以上来自于谷歌翻译

以下为原文

Digilent makes a variety of Pmod boards, and I had the opportunity to work with two of them: the NAV and the JSTK2. The NAV uses the LSM9DS1 3-axis accelerometer, 3-axis gyroscope, 3-axis magnetometer, plus the LPS25HB digital barometer. That’s 10 different pieces of data that you can access and use.
Digilent's Pmod NAV and Joystick
While the NAV has all the sensors, the JSTK2 can be used to control your project. It has a 2-axis joystick with a center button and trigger button. It also comes with a programmable RGB LED capable of 24-bit color. You can use the joystick and buttons as inputs while using the RGB LED for visual feedback.
In the example code, they list which MCU Digilent boards they were designed for. If you pair these Pmods with the Digilent boards then you can have these boards up and running within minutes (unless you’re like me and forget to switch on the main power to the board).
Working with the Pmod boards was a great way for me to experience SPI communication for the first time, especially with the joystick board. It has some great documentation and was fairly easy to migrate it over to an Arduino board, which is what I’m much more familiar with. I wanted to keep my code very basic and easy to understand to make it easier to manipulate. You could use the JSTK2 to control a robot and the NAV to add some autonomous features.
You can see me get these two parts up and running in my video blog post about these parts.
All of my code along with a much more detailed breakdown can be found on EEWiki, and I’ll be able to answer any questions on the TechForum.