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Flight control design using a blend of modern nonlinear adaptive and robust techniques.

机译:飞行控制设计结合了现代非线性自适应技术和鲁棒技术。

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摘要

In this dissertation, the modern control techniques of feedback linearization, μ synthesis, and neural network based adaptation are used to design novel control laws for two specific applications: F/A-18 flight control and reusable launch vehicle (an X-33 derivative) entry guidance. For both applications, the performance of the controllers is assessed.; As a part of a NASA Dryden program to develop and flight test experimental controllers for an F/A-18 aircraft, a novel method of combining μ synthesis and feedback linearization is developed to design longitudinal and lateral-directional controllers. First of all, the open-loop and closed-loop dynamics of F/A-18 are investigated. The production F/A-18 controller as well as the control distribution mechanism are studied. The open-loop and closed-loop handling qualities of the F/A-18 are evaluated using low order transfer functions. Based on this information, a blend of robust μ synthesis and feedback linearization is used to design controllers for a low dynamic pressure envelope of flight conditions. For both the longitudinal and the lateral-directional axes, a robust linear controller is designed for a trim point in the center of the envelope. Then by including terms to cancel kinematic nonlinearities and variations in the aerodynamic forces and moments over the flight envelope, a complete nonlinear controller is developed. In addition, to compensate for the model uncertainty, linearization error and variations between operating points, neural network based adaptation is added to the designed longitudinal controller. The nonlinear simulations, robustness and handling qualities analysis indicate that the performance is similar to or better than that for the production F/A-18 controllers. When the dynamic pressure is very low, the performance of both the experimental and the production flight controllers is degraded, but Level I handling qualities are still achieved.; A new generation of Reusable Launch Vehicles (RLVs) demands improvements to the current entry guidance capability. The acceleration entry guidance method has proven effective for the current Space Shuttle Orbiter. The basic concept is to track a reference drag acceleration generated by a planner, replanning the drag profile periodically if necessary. Tracking the drag profile ensures that the vehicle will fly the correct distance to reach the target without violating the vehicle constraints. (Abstract shortened by UMI.)
机译:本文采用反馈线性化,μ合成和基于神经网络的自适应控制技术来设计针对两种特定应用的新颖控制律:F / A-18飞行控制和可重复使用的运载火箭(X-33衍生物)入门指南。对于这两种应用,都要评估控制器的性能。作为开发和测试F / A-18飞机实验控制器的NASA Dryden计划的一部分,开发了一种结合μ合成和反馈线性化的新颖方法来设计纵向和横向控制器。首先,研究了F / A-18的开环和闭环动力学。研究了生产型F / A-18控制器以及控制分配机构。使用低阶传递函数评估F / A-18的开环和闭环处理质量。基于此信息,将鲁棒的μ综合和反馈线性化的混合物用于设计用于飞行条件的低动态压力包络线的控制器。对于纵向轴和横向轴,都为外壳中心的修整点设计了坚固的线性控制器。然后,通过包括抵消运动非线性和在飞行包络线上的空气动力和力矩变化的项,开发了一个完整的非线性控制器。另外,为了补偿模型的不确定性,线性化误差和工作点之间的变化,将基于神经网络的自适应添加到了设计的纵向控制器中。非线性仿真,鲁棒性和处理质量分析表明,该性能与F / A-18生产的控制器相似或更好。当动态压力非常低时,实验和生产飞行控制器的性能都会下降,但是仍然达到了I级操作质量。新一代可重复使用运载火箭(RLV)要求对当前的进入引导能力进行改进。事实证明,加速进入引导方法对当前的航天飞机轨道器是有效的。基本概念是跟踪计划者生成的参考阻力加速度,并在必要时定期重新计划阻力曲线。跟踪阻力曲线可确保车辆飞行正确的距离以达到目标,而不会违反车辆约束。 (摘要由UMI缩短。)

著录项

  • 作者

    Yang, Xiaolong.;

  • 作者单位

    University of California, Irvine.;

  • 授予单位 University of California, Irvine.;
  • 学科 Engineering Aerospace.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 p.298
  • 总页数 167
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 航空、航天技术的研究与探索;
  • 关键词

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