Filter optimization for human-machine interaction in aviation

Pilot´s responses to a sudden step change in flight altitude were measured on a flight simulator. The measured data was then mathematically analyzed in the MATLAB^® environment, providing the input and output data for the filter optimization. The aim of such an optimal filter design is to obtain the best transfer function parameters (pilot gain and time constants) of human behavior while controlling an aircraft. Due to the measurements and the filter optimization, the pilot behavior model can be more realistic in identifying any potential imperfections in the aircraft´s flight control systems at an early stage of its development.