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A nonlinear control design methodology using maneuvering ideas.

机译:一种采用操纵思想的非线性控制设计方法。

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This thesis presents a method of nonlinear control design where system behaviors are described as maneuver curves in the state-control space of the system. The concept of using feedback to enable the system to perform these behaviors in a reliable manner is an essential aspect of this methodology. To this purpose, several methods for constructing achievable maneuvers for the system and several methods for designing feedback controllers using maneuvering ideas are presented.; The Coordinated Flight Vehicle model (or CFV) is used as a platform to display these maneuver generation ideas. Using static and dynamic inversion techniques the CFV can be used to generate flight maneuvers of generic aircraft. Also presented is path following, a maneuver design tool to generate maneuvers of the CFV model with a fixed (or predetermined) throttle setting. In piloted flight, the throttle is seldom used as a steering control, so with path following, we attempt to generate flight maneuvers similar to what a real pilot might achieve.; Maneuver regulation is a control alternative to trajectory tracking. Maneuver regulation uses a fibration of the state space about a maneuver to define a projection from that space onto the maneuver. By using this projection point in a stable trajectory tracking feedback control law, we achieve stable maneuver regulation. Although only fibrations consistent with a valid Lyapunov function of the trajectory tracking control law are proven to provide stable maneuver regulation, some evidence is presented that supports our claim that any transverse foliation of the space about the maneuver provides stable maneuver regulation.; A major contribution of this thesis is the emphasis on dynamic visualization. Dynamic visualization is a tool that allows the control designer to more readily understand maneuver and control design problems through the use of computer graphics. These tools include computer animations and interactive simulators. Several examples of the author's use of dynamic visualization will be presented.
机译:本文提出了一种非线性控制设计方法,该方法将系统行为描述为系统状态控制空间中的操纵曲线。使用反馈使系统能够以可靠的方式执行这些行为的概念是此方法的重要方面。为此,提出了几种用于构造系统可实现的操纵的方法以及使用操纵思想设计反馈控制器的几种方法。协调飞行器模型(或CFV)被用作展示这些机动生成思想的平台。通过使用静态和动态反转技术,CFV可用于生成通用飞机的飞行机动。还介绍了路径跟踪,这是一种机动设计工具,用于以固定(或预定)油门设置生成CFV模型的机动。在无人驾驶飞行中,油门很少用作转向控制,因此在跟随路径时,我们尝试生成类似于真实飞行员可能实现的飞行操纵。机动调节是轨迹跟踪的替代控制。操纵规则使用操纵周围状态空间的纤维化来定义从该空间到操纵的投影。通过在稳定的轨迹跟踪反馈控制律中使用此投影点,我们实现了稳定的操纵调节。尽管只有与轨迹跟踪控制律的有效Lyapunov函数一致的纤维被证明可以提供稳定的机动调节,但仍提供了一些证据来支持我们的主张,即机动周围空间的任何横向叶状运动都可以提供稳定的机动调节。本文的主要贡献是对动态可视化的重视。动态可视化是一种工具,它可使控制设计人员通过使用计算机图形来更容易地了解操纵和控制设计问题。这些工具包括计算机动画和交互式模拟器。将提供作者使用动态可视化的几个示例。

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