Overall this airframe looks sexy with a very good price.
Cons:
- Being so cheap comes with a major problem and that is bad quality on used glue to mount the preambled arms. The solution is to carefully disassemble the arms parts and re-glue them.
- Too little stock avaible.
- No spare parts, but for 14.99 USD you could buy 2-3 kits and use them as spare parts.
- Building is Ply wood and this material is light weight but strong.
- All the parts come with a nice finish and painted.
- Nylon nuts, bolts and spacers have been included to keep the flying weight down.
- This frame have a camera mount with vibration dumpers that will receive a servo for vertical movement of the camera.
Cons.: I can not say anything. I need to wait to receive it and evaluate it.
Pros: Small, smart, light weight, complete sensors.
- ESC - 4 pieces
- Hobbyking SS Series 25-30A ESC (card programmable)
- Hobbyking SS Series 18-20A ESC (card programmable)
- Battery
hello
ReplyDeleteI am new in this area and I find your project very interesting, I wanted to know if you had advanced in the project? at stabilizing the drone.
sincerely
I am waiting the mongoose board to arrive first. I did some tests with matlab fuzzy module and simulated the behaviour. All seems to be working well for acro and stable mode. As soon i will receive the mongoose board i will start working for a firmware for mongoose board. First i will implement the multiwii software in 2 versions stand alone and as sensor board preprocesor, than i will continuate with fuzzy logic instead of PID control.
ReplyDeleteThank you for your answer, I think you follow and get into this realization, being new at this drone that will allow me to learn at the same time, I am possibly interested in your study of matlab, you'll post an article talking about all this on your blog?
ReplyDeletethank you
Yes i can post an article about my matlab simulation results but i do not think will be relevant at the moment.
ReplyDeleteI need more study myself in how i should control the stability of the drone using fuzzy.
For now i am waiting the sensors board so i can have real data numbers so i can build a fuzzy logic based on that numbers.
I need the min/max/center of the output of the sensors so i can first simulate them in Matlab and than use them on the firmware i will build.
The good news is that once the fuzzy control logic will be defined and calibrated, others that will use the software will not need anymore calibration like they do now in PID variant of the firmware.
The advantages of the fuzzy are clearly defined by reproducing the same behavior if the control logic is correct and the min/max/center values from the sensors are correctly defined.
Once the fuzzy rules are in place, the user of the firmware will need minimum calibration (like min/max/center of the sensors that will be done automatically by a GUI) and this will be all the settings he will need to do, even if his drone is the same size as mine or different.
Different or not the fuzzy logic will work the same if the sensors are calibrated to min/max/center.
PS: still waiting and waiting and waiting for the damn post office to get my sensor board.
Ok, it all seems very interesting, really looking forward to start too well and follow your realization gradually.
ReplyDeleteThank you for your response, I just had to order parts