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首页> 外文期刊>Journal of Dynamic Systems, Measurement, and Control >Trajectory Control of Miniature Helicopters Using a Unified Nonlinear Optimal Control Technique
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Trajectory Control of Miniature Helicopters Using a Unified Nonlinear Optimal Control Technique

机译:基于统一非线性最优控制技术的微型直升机弹道控制

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摘要

It is always a challenge to design a real-time optimal full flight envelope controller for a miniature helicopter due to the nonlinear, underactuated, uncertain, and highly coupled nature of its dynamics. This paper integrates the control of translational, rotational, and flapping motions of a simulated miniature aerobatic helicopter in one unified optimal control framework. In particular, a recently developed real-time nonlinear optimal control method, called the -D technique, is employed to solve the resultant challenging problem considering the full nonlinear dynamics without gain scheduling techniques and timescale separations. The uniqueness of the -D method is its ability to obtain an approximate analytical solution to the Hamilton–Jacobi–Bellman equation, which leads to a closed-form suboptimal control law. As a result, it can provide a great advantage in real-time implementation without a high computational load. Two complex trajectory tracking scenarios are used to evaluate the control capabilities of the proposed method in full flight envelope. Realistic uncertainties in modeling parameters and the wind gust condition are included in the simulation for the purpose of demonstrating the robustness of the proposed control law.
机译:由于其动态性的非线性,欠驱动,不确定和高度耦合的特性,为微型直升机设计实时最优的全飞行包络线控制器始终是一个挑战。本文将模拟微型特技直升机的平移,旋转和拍打运动控制集成在一个统一的最优控制框架中。特别地,考虑到没有增益调度技术和时间标度分离的全非线性动力学,最近开发的实时非线性最优控制方法称为-D技术,用于解决由此带来的挑战性问题。 -D方法的独特之处在于它能够获得Hamilton-Jacobi-Bellman方程的近似解析解,从而得出封闭形式的次优控制定律。结果,它可以在实时实施中提供很大的优势,而又不会增加计算量。使用两种复杂的轨迹跟踪方案来评估所提出的方法在全飞行包线中的控制能力。为了证明所提出的控制律的鲁棒性,在模拟中包括建模参数和阵风条件的实际不确定性。

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    Department of Aerospace Engineering, Mississippi State University, Starkville, MS 39759;

    Department of Mechanical, Materials, and Aerospace Engineering, University of Central Florida, Orlando, FL 32816;

    Nordam Transparency Division, Tulsa, OK 74117;

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