Since the micro:bit was launched one of the demos that I kept seeing was the toy crane controlled using the motion sensing in the micro:bit. The kids loved it and was very interactive.
Since the SenseHat on the Raspberry Pi has the motion sensors built in I thought this would a good project for a Raspberry Jam.
So, off I went to Home Bargains and bought a crane. From the picture, definitely the right age for me. This crane is normally controlled using two levers on the hand controller. It can rotate and raise/lower the bucket.
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| Didn't come with the hard hat |
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| Cut the red wire |
From above the wiring is:
VCC - Red wireGND - Brown wire (not black)
Rotate motor
Orange and Yellow
Crane lift motor
Blue and Green.
For turning and crane the direction it goes depends on how you wire it up and how your code works so some adjusting may be needed later.
To make sure I had this right I tested by touching Red to Orange and Brown to Yellow. Crane rotated one way. Swapped wires around and crane rotated the other way.
Red to Blue and Brown to Green, Bucket went down. Swapped wires around and bucket went up.
Wiring confirmed and tested.
As the Raspberry Pi isn't designed to control motors directly I needed a small motor controller.
The L9110s looked perfect for the job. Smaller than the L298N that I usually use so would be easier to accommodate in the final box.
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| L9110s motor controller |
On the right are the control pins and power.
Top 2 connections are control for Motor A
Bottom 2 connections are control for Motor B
Then in the middle are VCC and GND
NOTE: A really important thing is to make sure when using multiple boards that all the GND lines are tied together so that all the voltages have the same base reference. Otherwise strange things can happen.
I wired up the motors. Turning uses GPIO 5 and GPIO 6 on the Raspberry Pi and Motor B on the L9110s while lifting uses GPIO 27 and GPIO 17 and Motor A.
Again did some simple code to see if it would work from Scratch. Initially manually moving with the keyboard. It worked great and I brought it along to the Egham Jam in April 2016. As the organiser of the Jam I was a bit delinquent in taking pictures so the only one I have is of the crane, bottom left in the booth of the car before I went to the event. I promise the kids loved it and it was a massive hit, really. Actually, I had a different project called ZeroBall that was finished so it took most of my time.
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| Bottom leftis the crane |
- The SenseHat covers all the GPIO pins meaning I couldn't get at the pins to attach the wires for the motor controller. So, I could get the readings from the SenseHat but couldn't control the motors.
- The Scratch at the time had a problem whereby it didn't support AddOn board.
The first problem was solved with Stacking Headers and great tutorial from Keith's Pi Tutorials even has a video.
Also, a great reference site for Raspberry Pi board pin usage is pinout.xyz. They have loads of boards listed and this is where I got the details for the pins used on the SenseHat
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| Stackable Headers. Note the high tech blutac for holding it all in the tub |
The second problem of Scratch not working at all with AddOn boards was reported and fixed in the May 2016 Raspbian update.
With the purchase of Stackable Headers from The Pi Hut and a freshly imaged SD card both of these technical problems were overcome and the way forward was sorted for the SenseHat to be used to control the crane.
Since I wanted it to be battery powered the Raspberry Pi Zero was the obvious choice as it is low power. Only thing is Scratch is a GUI program and so I needed a desktop environment to run it (If you can run Scratch code without a GUI I'd love to know, but I suspect it kind of defeats the purpose of a drag and drop interface if you run it from the command line)
To overcome this I used a USB wifi dongle to connect over the network to the PiZero and then on a laptop used RealVNC to get a desktop. Since this was going to be shown at the first Wimbledon Raspberry Jam I didn't know if I would have a wifi network to connect to so I brought my own in the shape of a VoCore. A one inch cubed wireless router running openWRT. I backed this as a crowdfunding thing a while back and all I've used it for it to create a local wifi hotspot. At the Jams I can even power it from a powered Raspberry Pi USB port.
Side Notes:
I think the number is the manufacturing order of the original batch and I've never seen one with a number lower than 26.
The VoCore is only the top layer. The rest is an add-on that gives you USB, Ethernet, microUSB power socket and a microSD slot. IT also has it's own GPIO pins so can be used for embedded projects.
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| Vocore. Basically, the guts of a wifi router |
The case has 2 USB ports for power so could power the Raspberry Pi and the VoCore at the same time.
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| Batteries in their original cases |
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| Batteries in their new case |
I mentioned above that all the Grounds need to be tied together. In this instance I have 3 circuits that need to all have the same GND. Crane, L9110s and Raspberry Pi Zero (The SenseHat is take care of through the Pi Zero)
I tied the Crane GND (Brown wire directly to Pin 39 on the Raspberry Pi, then the GND pin on the L9110s was tied to Pin 6 on the Raspberry Pi. In this way all 3 had a common GND.
It's good to be aware that in a circuit all GND can usually be treated as the same point. Especially for such low power and low frequency signals. If this was a high power high frequency circuit then the trace length between the different GND points could case harmonics. I cannot think of a project using the Pi that I would do where the length of the trace between GND pins would be a problem
From the image you'll see the code isn't very complex. The main thing I'd to figure out was which one of the sensors I needed to read. It's the Accelerometer.
I believe the range is -4095 to + 4095 on each axis.
When the program is run a base "flat' reading for Lifter and Turning is taken so any movement in the sensor doesn't carry from one person to the next. This is what the middle block of code does.
The block of code on the right is there if it all goes wrong and I can just press [space] to turn off the motors.
Th middle block is where the magic happens. It checks if Accelerometer X is 1000 less or 1000 more than the flat reading for Lifter and/or Turning and then activates the appropriate motor to either turn the crane or raise/lower the bucket.
Not shown below is a second costume for the crane that just says "Put Pi on a flat surface" at the start of the calibration.
If you're not up for trying to copy the code from the image you can download the Scratch code from GitHub.
To make it hand held I stuffed all the bits in to a plastic Chinese takeaway box. You can see the L9110s on the left, wifi dongle on a short microUSD to USB cable and the SenseHat with the Stackable Headers so the wires for the motor controller can could be added.
Finally, here is a boy totally engrossed in playing with the crane at the Wimbledon Jam. It all ended really well.
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| Hours of fun transporting monkey from one place to another |
