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Proceedings of the 29th Chinese Control Conference最新文献

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Study on UAV flight based identification technology 无人机飞行识别技术研究
Pub Date : 2010-07-29 DOI: 10.1049/CP.2012.1387
Junkui Yao, Zaikang Qi, Fugui Li, Tao Guo
In order to verify the feasibility of applying identification technology to engineering control of such air vehicles as missiles, by taking into consideration the flight authenticity, repeatability, safety and reliability, the unmanned aerial vehicle (UAV) similar to missile flight control is selected as the controlled object. Based on identification theory and control guidance theory, this paper firstly makes theoretical analysis on UAV's identification technology, and then conducts flight practice to verify the theory. Firstly, The feasibility of UAV's closed-loop identification and the generation of excitation signals are studied. Secondly, identification experiments platform, namely UAV system platform, is constructed, including hardware platform and such software platforms as control guidance, signal transmission and data collection. Thirdly, multiple flight identification experiments are conducted on UAV, thus obtaining identification data. Finally, the mathematical model of UAV is obtained through analyzing and processing data, and this model is verified in time domain and frequency domain. Through a series of simplification method, a mathematical model, which is available in engineering, simplified and close to reality, is achieved, and its correctness is verified at last. The results show that identification's theory and ideology can be entirely applied to the engineering practice controlled by actual air vehicles.
为了验证识别技术应用于导弹等飞行器工程控制的可行性,在考虑飞行真实性、可重复性、安全性和可靠性的基础上,选择与导弹飞行控制相似的无人机作为被控对象。本文以识别理论和控制制导理论为基础,首先对无人机识别技术进行理论分析,然后进行飞行实践验证理论。首先,研究了无人机闭环辨识和激励信号产生的可行性。其次,构建识别实验平台,即无人机系统平台,包括硬件平台和控制制导、信号传输、数据采集等软件平台。再次,对无人机进行多次飞行识别实验,获取识别数据。最后,通过对数据的分析和处理,得到了无人机的数学模型,并在时域和频域对该模型进行了验证。通过一系列的简化方法,得到了工程上可用的、简化的、接近实际的数学模型,并对其正确性进行了验证。结果表明,该辨识理论和思想完全可以应用于实际飞行器控制的工程实践。
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引用次数: 2
Output regulation for linear systems with input saturation by composite nonlinear feedback control 基于复合非线性反馈控制的输入饱和线性系统输出调节
Pub Date : 2010-07-29 DOI: 10.1080/00207179.2014.896478
Chong Wang, Xiao Yu, Weiyao Lan
This paper addresses the semi-global output regulation problem of linear systems with actuator saturation by composite nonlinear feedback (CNF) control. The CNF control law is constructed in the base of the linear control law which is designed by low gain feedback technique. It is shown that the solvability of the semi-global output regulation problem by CNF control is the same as that of the semi-global output regulation problem by linear control. However, by introducing a nonlinear part in the CNF control, the CNF control law can be applied to improve the transient performance of the closed-loop system.
采用复合非线性反馈控制方法研究了具有执行器饱和的线性系统的半全局输出调节问题。在采用低增益反馈技术设计线性控制律的基础上,构造了CNF控制律。结果表明,CNF控制对半全局输出调节问题的可解性与线性控制对半全局输出调节问题的可解性相同。然而,通过在CNF控制中引入非线性部分,可以应用CNF控制律来改善闭环系统的暂态性能。
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引用次数: 26
Visual servoing with an uncalibrated eye-in-hand camera 视觉伺服与一个未校准的眼在手相机
Pub Date : 2008-09-01 DOI: 10.5772/6222
Haifeng Li, Jingtai Liu, Yan Li, Xiang Lu, Lei Sun
This paper presents a novel approach for image-based visual servo of a robot manipulator with an eye-in-hand configuration when the camera parameters are not calibrated and the trajectory of the moving object is not predicted. Firstly, the expression of the image Jacobian matrix for the eye-in-hand configuration, namely extended image Jacobian matrix, is proposed, then an update law is designed to estimate the extended image Jacobian online. Furthermore, a control scheme is presented and the Lyapunov method is employed to prove asymptotic convergence of the image errors. No assumption for the moving objects is needed. Finally, Both simulation and experimental results are shown to support the approach in this paper.
本文提出了一种在摄像机参数未标定、运动物体轨迹未预测的情况下,实现眼手机械手图像视觉伺服的新方法。首先,提出了手持眼构型的图像雅可比矩阵表达式,即扩展图像雅可比矩阵,然后设计了在线估计扩展图像雅可比矩阵的更新律。在此基础上,提出了一种控制方案,并利用李雅普诺夫方法证明了图像误差的渐近收敛性。不需要对移动的物体进行假设。最后,仿真和实验结果均支持本文的方法。
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引用次数: 5
期刊
Proceedings of the 29th Chinese Control Conference
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