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Suboptimal intelligent control: agile aircraft application

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2 Author(s)
Mohler, R.R. ; Dept. of Electr. & Comput. Eng., Oregon State Univ., Corvallis, OR, USA ; Zakrzewski, Radoslaw R.

Near-optimal control of an aircraft using artificial neural networks is discussed with the optimal control problem solved off-line for numerous initial and final conditions using standard techniques. The obtained trajectories are then used to train a neural network controller. The concept is applied to minimum-time control and quadratic-performance optimal control of the longitudinal motion of a super-agile aircraft. Full nonlinear dynamics with control (magnitude and rate) constraints as well as state constraints are considered. Suboptimal feedback synthesized by a neural network is tested on a simulated rapid manoeuvre with extremely large changes in pitch angle and angle of attack

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Control Systems Technology, IEEE Transactions on  (Volume:4 ,  Issue: 4 )