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Rotorcraft Flight Envelope Protection by Model Predictive Control

机译:通过模型预测控制保护旋翼飞行器的包络

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A novel flight envelope protection method is presented in this paper. The approach is based on a model predictivernreceding horizon formulation, which computes at each instant in time the future extremal control inputs that wouldrnlead the vehicle to ride the flight envelope boundary without ever exceeding it. The actual control inputs fed tornthe vehicle are then bounded, through pilot cueing, by the extremal ones. The calculation of the extremal inputs isrnbased on the constrained optimization of a quadratic figure of merit for a linear parameter varying reduced modelrnof the vehicle. The model accounts for the cross-couplings among the inputs that characterize the flight mechanicsrnof rotorcraft vehicles, and spans the entire flight envelope of interest by piecewise linear interpolation of given trimrnpoints. The approach leads to a convex optimization problem, which can be computed very efficiently in real-timernusing a deterministic number of operations. A heuristic modification of the limit parameter allowables, driven byrna non-linear reduced model of the vehicle, is used for on-line solution adaption against possible model mismatch.rnThe new approach is demonstrated by the numerical simulation of a number of complex pilot-in-the-loop aggressivernmaneuvers.
机译:本文提出了一种新颖的飞行包线保护方法。该方法基于模型预测地平线公式,该公式在每个时间点计算将来的极端控制输入,这些输入将导致飞行器飞越飞行包络线边界而不会超过该边界线。然后,通过驾驶员提示,将输入到车辆的实际控制输入限制为极值。基于车辆线性参数变化的简化模型的二次品质因数的约束优化,来计算极值输入。该模型考虑了表征飞行机械师旋翼飞行器车辆的输入之间的交叉耦合,并通过给定修剪点的分段线性内插法跨越了整个感兴趣的飞行包线。该方法导致凸优化问题,可以使用确定数量的操作实时非常有效地计算凸问题。通过对车辆的非线性降阶模型进行驱动,对极限参数允许值进行启发式修改,以用于针对可能的模型不匹配情况进行在线解决方案调整。新方法通过大量复杂驾驶员的数值模拟来证明循环攻击性动作。

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