This paper investigates the extant approach for morphing aircraft control. For the aerodynamic uncertainty and coupling among morphing process, we proposed a sliding mode control scheme based on backstepping design ap...
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This paper investigates the extant approach for morphing aircraft control. For the aerodynamic uncertainty and coupling among morphing process, we proposed a sliding mode control scheme based on backstepping design approach, in which the Extended State Observer (ESO) is introduced to estimate internal and external disturbance in flight. The stability of the controller is proved by Lyapunov theorem of stability. The height subsystem and flight path angle subsystem are stabilized by proposed scheme respectively. Besides, the parameters of proposed controller are optimized by an improved Pigeon-inspired optimization (pio) algorithm to obtain better control results. Numerical simulation is implemented to verify the effectiveness of proposed control method and improved pio algorithm, where the aerodynamic uncertainty caused by morphing is considered. The simulation results show that this sliding mode controller and the improved pio algorithm have good tracking performance.
This article introduces a controller for solving the problem of multiple unmanned aerial vehicles (UAVs) formation *** the constraints of terminal status and of control action energy,the controller aims to find the be...
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ISBN:
(纸本)9781479946983
This article introduces a controller for solving the problem of multiple unmanned aerial vehicles (UAVs) formation *** the constraints of terminal status and of control action energy,the controller aims to find the best values of UAV's inputs (including thrust,load factor,bank angle) to accomplish the *** basis of our controller is a method which combines pio with ***-Inspired optimization (pio) is a novel *** has been proposed and applied in engineering problems by following the inspirational precious *** is a method called control parameterization and time ***,we use a mathematical model to get a function which can evaluate the reconfiguration ***,to verify the validity of our controller,comparative experiments between pio and particle swarm optimization (PSO) are *** comparative results demonstrate that our proposed controller embedded with pio is much better than the one with PSO.
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