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首页> 外文期刊>Journal of aerospace engineering >Disturbance Observer-Based Nonlinear Model Predictive Control for Air-Breathing Hypersonic Vehicles
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Disturbance Observer-Based Nonlinear Model Predictive Control for Air-Breathing Hypersonic Vehicles

机译:基于扰动观测者的超音速飞行器非线性模型预测控制

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The disturbance-observer-based nonlinear model predictive control (DOB-NMPC) for air-breathing hypersonic vehicles (AHVs) is proposed in this paper. The longitudinal dynamic model of generic AHVs is first redesigned and optimized for prediction, whereas the cost function of nonlinear model predictive control (NMPC) is designed with series expansions and derivative feedback. A disturbance-observer-based control (DOBC) law is then developed for enhancing robustness in the presence of external disturbances and parameter uncertainties. The relationship among tracking errors, sample time, and estimation errors is finally investigated. Compared with existing tracking control for AHVs, the proposed DOB-NMPC achieves tracking commands effectively without sacrificing the nominal tracking performance, and the convergence range of tracking errors is verified by stability analysis and simulation studies. (C) 2018 American Society of Civil Engineers.
机译:提出了一种基于扰动观测器的空气超音速飞行器非线性模型预测控制(DOB-NMPC)。首先对通用AHV的纵向动态模型进行了重新设计和优化,以进行预测,而非线性模型预测控制(NMPC)的成本函数是通过级数展开和微分反馈设计的。然后,开发了基于干扰观测器的控制(DOBC)律,以在存在外部干扰和参数不确定性的情况下增强鲁棒性。最后研究跟踪误差,采样时间和估计误差之间的关系。与现有的AHV跟踪控制相比,提出的DOB-NMPC在不牺牲标称跟踪性能的情况下有效地实现了跟踪命令,并通过稳定性分析和仿真研究验证了跟踪误差的收敛范围。 (C)2018美国土木工程师学会。

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