Machine Intelligence Flight Control mimicking Test Pilot Function

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Progress in automatic flight control technology has made it possible to develop a fully automatic unmanned aerial vehicle. In real development, however, risk of vehicle damage by crash through the flight test is not small, therefore, more reliable flight control like what is realized by a human test pilot is desirable. In order to solve this problem, it pursued two major functions, that is, real time monitoring of safety margin of the flight control and real time adjustment of flight control parameters by using flight test data. A novel flight control law design approach called Hierarch-structured Dynamic Inversion was proposed to realize these functions. The approach was evaluated by a realistic flight simulation analysis which considered various kinds of uncertainty. It obtained promising results.