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Old 21st Mar 2019, 01:31
  #2206 (permalink)  
predictorM9
 
Join Date: Jun 2011
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Sensor fusion is not an horribly complicated process. You can do it to estimate for example the AOA and airspeed from inertial data/servo/throttle information and a dynamical model of the airplane. I worked on this for UAVs:

It requires only the accelerometers and the gyros (the GPS should not be trusted as it could be spoofed from a passenger). Problem is that, it is basically uncertifiable. No guarantees of convergence as you have a nonlinear dynamical model with multiple modes. Even Extended Kalman Filter would probably not be certifiable (what happens around the stall point), so UKF or EnKF are out of the question.

Multiplying the number of sensors helps to some extent, but there are many cases of multiple simultaneous sensor faults like the A320 crash in Perpignan or the upset of a Cathay A330 a few years ago.

Besides adding sensors can use a completely different physical principle (like Lidars) to measure airspeed, AOA and sideslip), I don't think that this problem could be solved easily.
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