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Code for updated nengo

Hi Brent,

I am a Masters Electrical & Mechanical Engineering student at the University of Strathclyde, and I am trying to implement a neural adaptive flight controller in a physical drone. I have found your thesis very helpful and I want to see if I can call your different adaptive controllers in a similar way but instead of using V-rep I will be interfacing them in a drone I have built. The input drone state will come from IMU and GPS data and I will change the controller output from rotor speeds to PWM.

I have managed to get your simple_quadcopter model that uses the nengo GUI working with V-rep EDU 3.2.1 but when I have tried to use your run_model script and call any of your adaptive controllers from your masters-thesis I haven't been able to get them working. It seems that they only start to work when I slow the simulation down to 1ms in V-rep but they are still fairly unstable, I am wondering could this be due to the controllers not being up to date with the changes in nengo?

Many thanks,
Adam

How to use pd or adaptive algorithm in my own quadcopter?

Hello,I am now working at a quadcopter with a hand. In simple demo controller code given by vrep,it uses 9 as gravity compensation. But after I modified gravity_compensation in crontoller.py, it still can't run stably. Also, None of the adaptive ways worked.
What's needed to be modified apply this controller in my quadcopter?
Thanks.

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