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Design and Simulation for Flight Control System of BTT UAV

Lan Dian

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Abstract

In order to solve the multiple variables and strong coupling problems,a backstepping algorithm of the BTT UAV autopilot controller was proposed in this paper.Based on the peculiarity of BTT UAV,the nonlinear model of UAV was built.After the UAV model was translated into the feedback block model to realize the backstepping design,a special nonlinear synthetical backstepping method was applied into designing the controlling rules of BTT UAV,which added neural networks to solve the uncertainties problems,and the adaptive tuning rules were derived using the Lyapunov stability theorem.This method can finish the decoupling design of controller and track the command signals well.Simulation studies are included to demonstrate the effectiveness of the proposed method.

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What this paper is about

In order to solve the multiple variables and strong coupling problems,a backstepping algorithm of the BTT UAV autopilot controller was proposed in this paper.Based on the peculiarity of BTT UAV,the nonlinear model of UAV was built.After the UAV model was translated into the feedback block model to realize the backstepping design,a special nonlinear synthetical backstepping method was applied into designing the controlling rules of BTT UAV,which added neural networks to solve the uncertainties problems,and the adaptive tuning rules were derived using the Lyapunov stability theorem.This method can finish the decoupling design of controller and track the command signals well.Simulation studies are included to demonstrate the effectiveness of the proposed method.

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Available abstract

In order to solve the multiple variables and strong coupling problems,a backstepping algorithm of the BTT UAV autopilot controller was proposed in this paper.Based on the peculiarity of BTT UAV,the nonlinear model of UAV was built.After the UAV model was translated into the feedback block model to realize the backstepping design,a special nonlinear synthetical backstepping method was applied into designing the controlling rules of BTT UAV,which added neural networks to solve the uncertainties problems,and the adaptive tuning rules were derived using the Lyapunov stability theorem.This method can finish the decoupling design of controller and track the command signals well.Simulation studies are included to demonstrate the effectiveness of the proposed method.

Key concepts: Backstepping, Autopilot, Control theory (sociology), Control engineering, Nonlinear system, Computer science, Lyapunov function, Lyapunov stability

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