一种基于非线性模型预测控制的升力翼多旋翼容错方法

By introducing fault-tolerant control methods such as NMPC and EKF, the stability problem of lifting multi-rotor aircraft under rotor failure was solved, achieving efficient attitude control and fault recovery in complex environments, and improving the stability and reliability of the aircraft.

CN120044788BActive Publication Date: 2026-07-17BEIHANG UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIHANG UNIV
Filing Date
2025-01-20
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional multi-rotor aircraft control technology cannot effectively cope with highly nonlinear dynamic changes. Especially when some rotors fail, the aircraft's attitude and trajectory are difficult to maintain, affecting flight stability and mission performance.

Method used

A fault-tolerant control method based on nonlinear model predictive control (NMPC) and disturbance observation technology using extended Kalman filter (EKF) were adopted to design a dynamic model and a relaxed hovering solution for a lifting wing multirotor aircraft. By optimizing the control strategy, stability was maintained under rotor failure and complex aerodynamic conditions.

Benefits of technology

It improves the flight stability and control precision of lifting wing multi-rotor aircraft in complex environments, enables rapid recovery of attitude stability, and enhances the robustness and reliability of the system.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明提出一种基于非线性模型预测控制的升力翼多旋翼容错方法,包括步骤:步骤一:建立升力翼多旋翼飞行器的动力学模型;步骤二:推导升力翼多旋翼的松弛悬停解;步骤三:设计基于NMPC的姿态控制器;步骤四:设计速度控制器;步骤五:设计基于EKF的扰动观测器。本发明用以应对其在旋翼故障和复杂气动条件下的稳定性问题。本发明将容错控制扩展到多故障和复杂环境下的场景,提升了整体飞行稳定性和控制精度。本发明引入了基于扩展卡尔曼滤波器(EKF)的扰动观测技术,并结合Φ‑theory推导了考虑气动效应的升力翼多旋翼飞行器的松弛悬停解,有效地解决了升力翼多旋翼在高速飞行下的空气动力学复杂性问题。
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