使用模型预测控制公式的组件负荷减轻的单个叶片控制

C. Mballo, J. Prasad
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引用次数: 0

摘要

综合考虑了一种基于主动旋翼控制的直升机部件减载方案。在模型预测框架下,提出了相应的减载方案。利用飞行器上的降阶耦合体/转子/流入动态模型,实时估计由于飞行器机动而产生的部件载荷。负载估计反过来用于最优控制公式,以获得所需的高谐波单个叶片控制(IBC)输入,以减少组件负载的选定谐波。在通用直升机的综合非线性模型中,利用IBC方案实现了构件减载的性能。非线性模型仿真表明,在对机动性能影响很小的情况下,可以获得显著的单个谐波负载降低,并且对组件负载的非受控谐波影响最小。
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Individual Blade Control for Component Load Alleviation using a Model Predictive Control Formulation
This paper considers synthesis of a load alleviation scheme based on active rotor control for helicopter component life extension. The proposed load alleviation scheme is formulated in a model predictive framework. Using a reduced order coupled body/rotor/inflow dynamic model onboard the vehicle, real-time estimates of component loads arising due to vehicle maneuvers are generated. The load estimates in turn are used in an optimal control formulation to obtain the higher harmonic individual blade control (IBC) inputs needed to reduce selected harmonics of component loads. The performance of the proposed component load alleviation using IBC scheme is implemented in a comprehensive nonlinear model of a generic helicopter. Nonlinear model simulations show that significant individual harmonic load reduction can be obtained with very little impact on the maneuver performance and minimal impact on the uncontrolled harmonics of component loads.
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