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无人动力伞在线子空间预测控制 被引量：1

Online Subspace Predictive Control of Unmanned Powered Parafoil
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摘要 针对无人动力伞(UPP)的飞行具有不确定性、非线性和复杂性的特点,建立了无人动力伞6自由度非线性动力学模型,仿真分析了模型对输入信号的响应特性.提出了无人动力伞在线子空间预测控制算法.该算法能及时地克服模型失配、时变及干扰等对飞行控制系统的影响,使有约束的预测控制能够在控制时域内保持最优.仿真结果表明,该算法能有效辨识仿真模型产生的输入输出数据,表现出了较好的跟踪性能和控制精度. According to the uncertainty, the nonlinearity and the complexity features of UPP （unmanned powered parafoil）, a 6-DOF nonlinear dynamic model for UPP is established. The response performance of UPP model to input signals is simulated and analyzed. A UPP online subspace prediction method is proposed which can overcome the effects of the uncertainty, the time-varying and the disturbance on the flight control system in time, and can keep constrained predictive control optimum in predictive horizon. Simulation results show that the method can identify the input and the output data generated by simulation model effectively, and it has excellent tracking performance and control precision.
作者 谢志刚 陈自力 何应德
机构地区 军械工程学院光学与电子工程系 中国人民解放军
出处 《信息与控制》 CSCD 北大核心 2011年第6期841-845,共5页 Information and Control
关键词 无人动力伞 建模 递推子空间 预测控制 子空间预测控制 unmanned powered parafoil modeling recursive subspace predictive control subspace predictive control
分类号 V294.1 [航空宇航科学技术] TP273 [自动化与计算机技术—检测技术与自动化装置]
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参考文献10

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二级参考文献8

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共引文献17

同被引文献19

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二级引证文献21

信息与控制
2011年 第6期

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