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Optimal Variable-Speed Climb for a Fixed-Wing Aircraft

机译:固定翼飞机的最佳变速爬升

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In this paper, climb performance optimization is studied to determine control trajectories that minimize the Direct Operating Cost of an air transport. First a model of the vehicle motion is developed. A reduced-order model is then derived, and the calculus of variations is applied to formulate the optimization problem using the reduced-order model. An algorithm is designed to solve the problem, and the efficacy of the solver is validated using the high-order model. Two optimization methods are developed. In the first method, nonlinear programming (NLP) is used to determine the optimal open-loop control. In the second method, the reduced-order model is further simplified-relative to the equations used in the first method-and termed the energy state approximation (ESA) method. The second method is more robust and faster in terms of computing a solution, but the resulting control is marginally sub-optimal relative to the control determined by the first method. Accordingly, the relative benefits of each approach are studied to determine the best design for a real-time embedded application. It is shown that the optimal path determined by a simplified model (i.e., a point mass model and energy state approximation) is indeed a singular arc. It is further shown that if the optimal arrival to the singular arch and the optimal departure from the singular arc are added to the control trajectory, the resulting flight path is a close approximation of the optimal control determined by the NLP method. The optimal controls generated by the first method are tested using the higher-order model and compared to the performance of a typical Flight Management System for a mid-range narrow-body transport. Minimum fuel burn is studied first. The time-related cost to operate the airplane is then included in the cost function to minimize the total Direct Operating Cost. A generic narrow-body transport with modern turbofan engines is the subject of the analyses, but the developed methods are applicable to any fixed-wing aircraft propelled by high-bypass-ratio turbofan engines.
机译:在本文中,对爬升性能的优化进行了研究,以确定可以将航空运输的直接运营成本降至最低的控制轨迹。首先,开发车辆运动的模型。然后推导降阶模型,并使用变分演算来使用降阶模型来表达优化问题。设计了一种算法来解决该问题,并使用高阶模型验证了求解器的有效性。开发了两种优化方法。在第一种方法中,非线性规划(NLP)用于确定最佳开环控制。在第二种方法中,降阶模型相对于第一种方法中使用的方程式被进一步简化,并称为能量状态近似(ESA)方法。就计算解决方案而言,第二种方法更健壮,速度更快,但是相对于第一种方法所确定的控件,生成的控件在边缘上不是次优的。因此,研究了每种方法的相对优势,以确定用于实时嵌入式应用程序的最佳设计。结果表明,由简化模型(即点质量模型和能量状态近似)确定的最佳路径实际上是奇异弧。进一步表明,如果将最佳到达奇异弓形和最佳偏离奇异弧线添加到控制轨迹中,则所得到的飞行路径将是由NLP方法确定的最佳控制的近似值。第一种方法生成的最佳控制将使用高阶模型进行测试,并与用于中距离窄体运输的典型飞行管理系统的性能进行比较。首先研究最小燃油消耗。然后,将与飞机运行时间相关的成本包括在成本函数中,以使总的直接运营成本降至最低。分析的主题是使用现代涡扇发动机的通用窄体运输,但是开发的方法适用于任何由高旁通比涡扇发动机推动的固定翼飞机。

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