Skip to main content

Glider Airframe Modelling for Flight Controller design

Due to the past 2-3 months of bad rainy weather and gusty winds, I've decided that it was time that I invested in a tool that will be able to give me preliminary understanding the flight control is a scientific way. That means I will have to acquire a mathematical model of the airframe and use the current hardware to form a In-The-Loop Simulation (HILS).

My approach for this will be to use DATCOM to derive aerodynamics parameters then coding the equations in C. This will then be flashed unto a separate Atmega microcontroller and will talk to the the rest of the hardware via the serial interface. The accelerometers and gyroscope values (superimposed with errors and biases) will be then form part of the output from the airframe model which in turn will exercise the flight controller and mission controller.

What's not sure yet is how to test completely the waypoint tracking algorithm without using the GPS hardware. One way was to have a simulated GPS module as part of the output to the Flight control. That might add more computation to the airframe module so it will have to be evaluated once all task are completed.

The aim of this approach is to establish a way to predict and easily analyze the flight control system (servos, transmitter, receiver and the respective algorithms) without having to physically fly the glider. This will mitigate a lot of uncertainty during a flight test programme (which should kickstart again mid February).

So the key is to establish an airframe model that is representative of what will be seen during a typical flight test. What will not be modelled and tested at this point, is the landing and take-off stages of the mission profile.

This is an exciting stage of the project as building such capabilities will only enhance the viability of realising a robust and low-cost UAV solution.

Lookout for upcoming posts!

Comments

  1. I have gone through your post . It is very informative. I would like to share this.

    It is without doubt that the Phantom Drone has renewed interest in the use of technology in social security. The New Phantom drone is exceptional in many ways indeed. The fpv transmitter will need to be improved as it will help the persons sending and receiving data. It is therefore of big importance that the drone autopilot keeps in mind that the signal sending should be full of clarity.

    ReplyDelete

Post a Comment

Popular posts from this blog

Setting up the Tarot T4-3D gimbal on the Pixhawk 2.4.8 with Specktrum dx6 Gen2 toggle switch

So i took the challenge of setting up the Tarot gimbal not just for inherent stable video footage but also the flexibility of controlling it from the radio control. However, I encountered quite a few challenges which made me aware that I'm not the one only in this battle . It's quite clear that the setup of the Tarot gimbal using its own software is completely different from how it's been described in the Ardupilot/Arducopter webpage and in mission Planner. In Mission Planner and it's associated site makes one believe that it should be done through software, only to realize that in actual fact the setup is more complex than that.  After two evenings of trying various combinations, I realized the getting the pixhawk Aux channels to communicate with the T4 gimbal requires the following steps: - The Pixhawk Pin9 (Aux1) needed to be activated to pass through user-chosen channel from the transmitter. For the Dx6 Gen2 it was the channel 6, which can assigned the ...

GPS Navigation Ground Test #2 - Heading Error Computation Algorithm

This one is going to be quite short. Yesterday was the turn of the heading error algorithm to be tested. This heading error is calculated based on the heading the between two waypoints and heading measurement from the GPS module. This error will then be fed into a the roll controller as an input for roll command to reduce it to zero. But for the roll controller to work accordingly, the input must be right and within certain bounds. Same as the previous ground test, waypoints were loaded unto the autopilot and serial debug data was monitored using my Asus TF101 Tablet. It's worth saying that I managed to get serial data output straight from the LINUX command line . So the command line integration with VIM is complete. So it takes approximately under 10sec to upload and start debugging data of the autopilot. Sweet! Anyway, it was found that the GPS accuracy should be considered at 10-12m. Anything less than that and you'll be running for trouble. That is not a real conc...

Development of a new learning algorithm

Over the course of the past 2-3 weeks I decided to take the plunge of learning a new training algorithm which had quite alot of attention in the academic community but was also well constructed for easier implementation. The work by Peng et al on developing the Continuous Forward Algorithm (CFA) was my subject of attention. The overall premise behind implementing this algorithm was to investigate less memory-intensive machine learning algorithm that will not sacrifice accuracy or robustness. The ability to have a real-time learning system for low-cost electronics (such as the Teensy 3.6 ) has huge implications for the commercialization and affordable access of intelligent drones specifically for developing and even under-developed economies. The far-reaching impact of having technology leveraging efforts of farmers, herders, game rangers, biologists is the next wave of industrialization. This is the essence of this blog. The journey is very exciting and eventual results even mo...