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微型飞行器的自抗扰控制器设计
引用本文:高少婷,黄静雯,陈兵彬,符文星. 微型飞行器的自抗扰控制器设计[J]. 计算机测量与控制, 2017, 25(7): 136-139
作者姓名:高少婷  黄静雯  陈兵彬  符文星
作者单位:西北工业大学 航天学院,西安 710072,中航工业西安飞行自动控制研究所,西安 710072,中航工业西安飞行自动控制研究所,西安 710072,西北工业大学 航天学院,西安 710072
基金项目:国家自然科学基金(U1630127)。
摘    要:微型飞行器具有高度的非线性特性,且气动参数具有不确定性,难以建立精确的数学模型;为实现其姿态、速度、以及高度的精确鲁棒控制,基于自抗扰控制方法设计了微型飞行器速度回路和高度回路的控制器;首先建立了微型飞行器的非线性模型,然后利用扩张状态观测器对飞行器状态和气动不确定性因素进行了估计,并通过非线性反馈对模型不确定性部分和状态耦合进行补偿,实现了纵向通道的解耦控制;通过仿真对所设计的控制器进行性能验证,结果表明自抗扰控制器能够实现对微型飞行器的快速稳定控制,且不依赖于精确的飞行器数学模型,具有良好的鲁棒性。

关 键 词:微型飞行器  自抗扰控制  解耦控制
收稿时间:2016-12-20
修稿时间:2017-02-06

Active Disturbance Rejection Control for Micro Aerial Vehicle
Gao Shaoting,Huang Jingwen,Chen Bingbin and Fu Wenxing. Active Disturbance Rejection Control for Micro Aerial Vehicle[J]. Computer Measurement & Control, 2017, 25(7): 136-139
Authors:Gao Shaoting  Huang Jingwen  Chen Bingbin  Fu Wenxing
Affiliation:College of Astronautics,Northwestern Polytechnical University, Xi''an 710072, China,AVIC Xi''an Flight Automatic Control Research Institute, Xi''an 710072,China,AVIC Xi''an Flight Automatic Control Research Institute, Xi''an 710072,China and College of Astronautics,Northwestern Polytechnical University, Xi''an 710072, China
Abstract:The micro aerial vehicle''s (MAV) dynamic is nonlinear; in addition, due to the uncertainty aerodynamic parameters of MAV, it is difficult to establish the accurate mathematical model. So, controllers of altitude and velocity tracking is designed with the active disturbance rejection control (ADRC) algorithm aiming to achieve the high quality control of MAV''attitude, velocity, and altitude. In the first place, the nonlinear model of the MAV is established. Then, the vehicle''s state and uncertainty factors is estimated by the extended state observer; the uncertainty parts and state coupling is compensated with the nonlinear feedback. Thus, the decoupling control of longitudinal channel was implemented. Finally, there is a simulation in order to demonstrate the performance of the designed controller , the result shows that the proposed ADRC control law can improve the robust performance of the system, and the effects is independent of the accurate mathematical model.
Keywords:
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