基于扩展滤波卡尔曼的滑模控制四旋翼直升机垂直飞行状态向量估计

Samir Zeghlache, D. Saigaa, Kamel Kara, Abderrahmen Bouguerra
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引用次数: 6

摘要

四旋翼直升机的控制包含非线性、不确定性和外部摄动,在控制律设计中需要考虑这些因素。提出了一种基于滑模控制(SMC)的欠驱动六自由度四旋翼直升机控制策略。本文的主要目的是提出一种基于扩展卡尔曼滤波(EKF)的非线性观测器来估计非测量状态。仿真结果表明,采用该控制器的四旋翼无人机能够很好地跟踪期望轨迹,并对外界干扰保持鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
State vector estimation using extended filter kalman for the sliding mode controlled quadrotor helicopter in vertical flight
The control of the quadrotor helicopter includes nonlinearities, uncertainties and external perturbations that should be considered in the design of control laws. This paper presents a control strategy for an underactuated six degrees of freedom (6 DOF) quadorotor helicopter, based on the sliding mode control (SMC). The main purpose of this work is to proposed a non linear observer based on extended kalman filter (EKF) to estimate the unmeasured states. Finally simulation results are included to indicate the quadrotor UAV with the proposed controller ensure a good tracking of a desired trajectory and remain robust to the external disturbances.
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