Complementary sliding mode and emotional neural network control for vertical takeoff and landing systems
This paper proposes a complementary integral sliding mode control strategy based on a continuous radial basis function emotional neural network for the double closed-loop control system of vertical takeoff and landing aircraft with unknown disturbances. First, a mathematical model of a VTOL aircraft with unknown disturbance terms is developed. Second, the sliding mode controller and the complementary integral sliding mode controller are intended for the system's inner and outer loops. With consideration of system robustness, the continuous radial basis function emotional neural network is employed to approximate the system's unknown disturbance terms. The adaptive rule of neural network weights is presented to construct a new set of composite control techniques. The Lyapunov approach is used to assess the system's stability. The developed controller achieves faster convergence speed, higher tracking accuracy, and superior robustness after the simulation trials and actual trials of the vertical takeoff and landing aircraft are assessed and compared.
vertical takeoff and landing aircraftcomplementary integral sliding modeemotional neural networkdeflection angle control
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