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Flight envelope limit detection and avoidance.

机译:飞行包线极限检测和避免。

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New advanced algorithms, control laws, and pilot cueing methods were developed to provide flight envelope limit protection on rotorcraft and fixed-wing aircraft. The envelope limiting systems were designed to detect an approaching limit boundary and then provide force-feel cues on the control stick so that the pilot can avoid violations of structural and controllability limits. The limit detection algorithms were designed to predict the future response of a limited parameter in order to give an adequate time margin for corrective action. The dynamic trim estimation method, which uses a neural network to estimate the quasi-steady response of the aircraft based on stick position and measured flight data, was applied to provide torque and V-n envelope protection on the XV-15 tilt-rotor aircraft and demonstrated in simulations with a pilot model. This system was also applied to provide angle-of-attack and load factor protection on the V-22 tilt-rotor aircraft and demonstrated using real-time piloted simulation. The adaptive dynamic trim estimation method extended this approach by using sensor data history to adapt to model uncertainties. The peak response limiting algorithm, which is used to detect and prevent limit violations that occur in the transient response, was applied to provide longitudinal flapping limiting on the XV-15 and demonstrated in batch simulations. Simulation results showed that the dynamic trim estimation scheme has the potential to effectively expand an aircraft's flight envelope by allowing the pilot to safely fly near limit boundaries. An adaptive algorithm was used to adjust to variations in the mass properties of the aircraft, but improvements to the adaptation method are warranted. The peak response limiting system was shown to be effective in determining rate and position constraints on the stick travel to ensure that flapping limits are not violated.
机译:开发了新的高级算法,控制律和飞行员提示方法,以在旋翼飞机和固定翼飞机上提供飞行包线限制保护。包络限制系统旨在检测接近的限制边界,然后在控制杆上提供力感提示,以便飞行员可以避免违反结构和可控性限制。极限检测算法旨在预测有限参数的未来响应,以便为纠正措施提供足够的时间余量。使用神经网络基于操纵杆位置和测得的飞行数据来估计飞机的准稳态响应的动态配平估计方法被应用于为XV-15倾斜旋翼飞机提供扭矩和Vn包络保护,并进行了演示在带有试验模型的仿真中。该系统还被用于在V-22倾斜旋翼飞机上提供攻角和载荷因子保护,并通过实时驾驶仿真进行了演示。自适应动态修整估计方法通过使用传感器数据历史记录来适应模型不确定性,从而扩展了该方法。峰值响应限制算法用于检测和防止在瞬态响应中发生的限制违规,该算法用于在XV-15上提供纵向拍打限制,并在批量仿真中得到了证明。仿真结果表明,动态纵倾估计方案通过允许飞行员在极限边界附近安全飞行,具有有效扩展飞机飞行范围的潜力。自适应算法用于调整飞机质量特性的变化,但仍需对自适应方法进行改进。结果表明,峰值响应限制系统可有效确定操纵杆行程的速度和位置限制,以确保不违反拍打限制。

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