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首页> 外文期刊>Aerospace science and technology >Finite-time model-assisted active disturbance rejection control with a novel parameters optimizer for hypersonic reentry vehicle subject to multiple disturbances
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Finite-time model-assisted active disturbance rejection control with a novel parameters optimizer for hypersonic reentry vehicle subject to multiple disturbances

机译：基于新型参数优化器的高模超音速再入飞行器有限时间模型辅助主动干扰抑制控制

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摘要

In this paper, a scheme which combines finite-time model-assisted active disturbance rejection control and novel greedy criterion-based salp swarm algorithm is developed for attitude tracking problem of hypersonic reentry vehicle with multiple disturbances. To simplify control structure, the control scheme is designed within the framework of active disturbance rejection control completely. To lessen tuning parameters, a sigmoid function-based tracking differentiator is employed to generate a more realizable attitude transient profile instead of utilizing conventional nonlinear tracking differentiator. Taking known model information as model-assisted term, finite-time model-assisted extended state observers are constructed to estimate the lumped disturbance in attitude and angular rate loop with employment of functionfal. To achieve rapid response and strong robustness, finite-time model-assisted control laws are derived by utilizing functionfhan. Finally, a novel greedy criterion-based salp swarm algorithm is used to optimize control parameters in finite-time model-assisted control laws to achieve optimal solution that minimizes the tracking error and energy consumption. Comparative simulations are conducted to illustrate the effectiveness of the proposed scheme.
机译：针对多扰动的高超声速再入飞行器姿态跟踪问题，提出了一种基于有限时间模型辅助主动扰动抑制控制与基于贪婪准则的新型蜂群算法相结合的方案。为了简化控制结构，在主动干扰抑制控制的框架内完全设计了控制方案。为了减少调整参数，采用基于S形函数的跟踪微分器来生成更可实现的姿态瞬态曲线，而不是利用传统的非线性跟踪微分器。以已知的模型信息作为模型辅助项，构造了有限时间模型辅助扩展状态观测器，以估计利用函数的姿态和角速率环中的集总扰动。为了获得快速响应和强大的鲁棒性，利用函数函数推导了有限时间模型辅助控制律。最后，基于贪婪准则的新型salp群算法被用于优化有限时间模型辅助控制律中的控制参数，以实现使跟踪误差和能耗最小化的最优解决方案。进行了比较仿真以说明所提出方案的有效性。

著录项

  • 来源
    《Aerospace science and technology》 |2018年第8期|588-600|共13页
  • 作者

    Yue Yu; Honglun Wang; Na Li; Huiping Zhang; Zikang Su; Xingling Shao;

  • 作者单位

    School of Automation Science and Electrical Engineering, Beihang University,Science and Technology on Aircraft Control Laboratory, Beihang University;

    School of Automation Science and Electrical Engineering, Beihang University,Science and Technology on Aircraft Control Laboratory, Beihang University;

    Unmanned System Research Institute, Beihang University;

    School of Automation, Beijing Institute of Technology,Beijing Aerospace Automatic Control Institute;

    School of Automation Science and Electrical Engineering, Beihang University,Science and Technology on Aircraft Control Laboratory, Beihang University;

    Key Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, North University of China,National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Hypersonic reentry vehicle; Finite-time; Extended state observer; Tracking differentiator; Active disturbance rejection control; Salp swarm algorithm;

    机译：高超音速再入飞行器;有限时间;扩展状态观察器;跟踪微分器;主动干扰抑制控制;萨尔普算法;

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