首页> 外文会议>28th European Rotorcraft Forum >PROGRESS IN THE DEVELOPMENT OF A ROBUST PILOT MODEL FOR THE EVALUATION OF ROTORCRAFT PERFORMANCE, CONTROL STRATEGY AND PILOT WORKLOAD
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PROGRESS IN THE DEVELOPMENT OF A ROBUST PILOT MODEL FOR THE EVALUATION OF ROTORCRAFT PERFORMANCE, CONTROL STRATEGY AND PILOT WORKLOAD

机译:用于评估转轮性能,控制策略和飞行员工作量的鲁棒飞行员模型的开发进展

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This paper describes the development of the SYCOS pilot model which has its origins in the need for an off-line (desktop) simulation technique to evaluate rotorcraft performance and handling qualities in piloted flight through a set of standard manoeuvres such as the Mission Task Elements of ADS33. The aim of its development is to overcome some of the limitations of the precise, open loop, control of inverse simulation, by adopting a structure which includes a corrective component that adjusts the control strategy to counteract departures in the desired flight path. In its basic form the SYCOS model has two components. An error is detected between the required and desired performance which is then consolidated by a 'crossover' component and processed by a 'learned response' component which generates an appropriate corrective action to apply to the vehicle's controls. The model in its basic form may be implemented for a given application in a well defined and straightforward manner and has proved to be a reliable tool for piloting a state-of-the-art rotorcraft simulation. Its capability isl be demonstrated through a number of recent applications in performance, control strategy and pilot workload studies. Some of the applications benefit from enhancements to the basic structure and these are described in context.
机译:本文介绍了SYCOS飞行员模型的开发,该模型的起源是需要一种离线(桌面)仿真技术,以通过一系列标准演习(例如“任务任务要素”)来评估旋翼飞机的性能和操纵飞行的质量。 ADS33。其发展的目的是通过采用一种结构,该结构包含一个校正组件,该校正组件可以调整控制策略以抵消所需飞行路线的偏离,从而克服了逆向仿真的精确,开环控制的某些限制。 SYCOS模型的基本形式包含两个部分。在所需性能和期望性能之间检测到错误,然后通过“交叉”组件合并该错误,并通过“学习的响应”组件进行处理,该错误会生成适当的纠正措施以应用于车辆的控件。该模型的基本形式可以以明确定义和直接的方式为给定应用程序实现,并且已被证明是驾驶最新旋翼飞机仿真的可靠工具。它的功能通过性能,控制策略和飞行员工作量研究中的许多最新应用得以证明。一些应用程序受益于基本结构的增强,并在上下文中进行了描述。

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