Aerial vehicle finite-time adaptive attitude control method based on improved power reaching law

Abstract

An aerial vehicle finite-time adaptive attitude control method based on an improved power reaching law aims at a problem of aerial vehicle attitude stabilization with concentrated uncertainty. A sliding mode control method based on the improved power reaching law is utilized, and furthermore through adaptive controlling, the aerial vehicle finite-time adaptive attitude control method based on the improved power reaching law is designed. A terminal sliding mode surface is designed for ensuring definite-time convergence of a system. Furthermore through the improved power reaching law, a buffeting problem is reduced in an actual control system. Furthermore the adaptive controlling is used for a feedback control system which intelligently adjusts a self characteristic according to the environment change so that the system can operate in an optimal state according to some preset standards. The invention provides the control method which can reduce the buffeting problem of the sliding mode surface and a control torque and furthermore realizes uniform ultimate boundedness of finite time of the system on the condition that uncertainty and interference exist in the system.

Description

technical field [0001] The invention relates to a finite-time self-adaptive attitude control method of an aircraft based on an improved power reaching law, in particular to an aircraft attitude control method with external disturbance and uncertainty of the rotational inertia matrix. Background technique [0002] The flight control system is the core of the UAV. To complete the autonomous flight of the UAV, the control system needs to have good control characteristics for both the inner loop (attitude loop) and the outer loop (horizontal position and height loop). The flight control law design of UAV determines its flight performance. These performances include various flight performances, such as: takeoff and landing performance, operational flight performance, flight safety and reliability, flight monitorability, system automation, maintainability, etc. However, the performance requirements of UAV flight control systems are becoming more and more complex, and it is diffic...

AI Technical Summary

Problems solved by technology

[0004] However, in most of the methods proposed above, the kinematics and dynamics model parameters of the aircraft attitude system must be known in advance

Therefore, when there are uncertain factors in the system, the method proposed above cannot be directly applied to the attitude control of the aircraft

Images