| 基于径向基神经网络的空天飞行器鲁棒自适应轨迹线性化控制 |
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| 引用本文： | 薛雅丽,姜长生,朱亮.基于径向基神经网络的空天飞行器鲁棒自适应轨迹线性化控制[J].航空动力学报,2008,23(4):765-770. |
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| 作者姓名： | 薛雅丽 姜长生 朱亮 |
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| 作者单位： | 南京航空航天大学,自动化学院,南京,210016 |
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| 摘 要： | 基于轨迹线性化控制方法(TLC)以及径向基神经网络(RBFNN)技术研究了一种新的鲁棒自适应轨迹线性化控制方案并应用于空天飞行器(ASV)飞行控制系统设计中.首先基于被控对象的分析模型设计系统的TLC控制器,然后利用RBFNN对系统不确定的逼近能力,设计了鲁棒自适应控制器及参数的自适应调节律,并采用Lyapunov方法严格证明了闭环系统所有误差信号一致最终有界.最后应用新控制方案设计了ASV飞行控制系统,仿真结果表明了方法的有效性.
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| 关 键 词： | 轨迹线性化控制(TLC) 径向基神经网络(RBFNN) 鲁棒自适应控制 空天飞行器(ASV) |
| 文章编号： | 1000-8055(2008)04-0765-07 |
| 收稿时间： | 2007/4/17 0:00:00 |
| 修稿时间： | 2007年4月17日 |
Design of robust adaptive trajectory linearization controller for aerospace vehicles based on RBFNN |
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| XUE Ya-li,JIANG Chang-sheng and ZHU Liang.Design of robust adaptive trajectory linearization controller for aerospace vehicles based on RBFNN[J].Journal of Aerospace Power,2008,23(4):765-770. |
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| Authors: | XUE Ya-li JIANG Chang-sheng and ZHU Liang |
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| Affiliation: | College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China |
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| Abstract: | This paper presents a novel robust adaptive trajectory linearization control(TLC) method based on radial basic function neural network(RBFNN) and introduces its application to an aero-space vehicle(ASV) flight control system.Firstly,the TLC controller was designed based on an analytical model of the control plant.Secondly,RBFNN was utilized to approximate the system's uncertainties,and based on which,a robust adaptive controller as well as an adaptive law were designed.Then,Lyapunov's direct method was used,and a rigorous poof was demonstrated in order to guarantee the ultimate boundedness of all the signals in the closed loop system of the provided method.Finally,the proposed method was applied to the flight control system design of ASV,and its effectiveness was verified by simulation results. |
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| Keywords: | trajectory linearization control(TLC) radial basic function neural network(RBFNN) robust adaptive control aerospace vehicles(ASV) |
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