Iterative Learning Data Driven Strategy for Aircraft Control System

The paper extends our previous contributions about data driven control from the theory and practice in aircraft control system respectively, while achieving the combination of theory and practice. After feeding back the output signal to the input part, and get one error signal, three kinds of data are measured to design the unknown controller without any information about the unknown plant. Based on the internal essence of data driven control, iterative learning idea is introduced with data driven control to iterative leaning data driven control strategy. To get the optimal data driven controller, other knowledge are applied, for example, adaptation, optimization and learning. After reviewing the aircraft control system, our numerical simulation results have demonstrated the efficiency of this proposed iterative learning data driven control strategy. Finally, to achieve the combination with theory and practice, our proposed iterative learning data driven control is applied into aircraft control system, so that the considered aircraft can fly more remotely.