Earth Auto News does not need a crystal ball to imagine the future of engineers, that is, air taxis and other aircraft transport passengers between cities to avoid increasingly serious traffic jams on the ground.
Many companies are already prototyping and testing the hybrid electric “flying car”.
The car can take off and land vertically, but it can also soar in the air like a winged plane, allowing it to fly more efficiently over longer distances.
Of course, one of the key areas of concern for these flying cars is safety.
These flying vehicles must not only remain in the air, but must also remain in control, no matter what problems may occur during flight, such as gusts, or flying objects on their path, and propeller failure.
According to foreign media reports, the California Institute of Technology (California Institute of Technology) research team has developed an airborne control method based on machine learning, which can help such aircraft detect and compensate for interference so that they can continue to fly.
The paper has been published in the journal IEEE Robotics and Automation Letters, and engineers call the method “neural flight fault tolerance (Neural-Fly for Fault Tolerance,NFFT)”.
, photo source: California Institute of Technology, return to the first electric network home page.
