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首页> 外文期刊>Journal of Intelligent & Robotic Systems: Theory & Application >System Identification and Controller Implementation of a Centrifugal Compressor for Circulation Control Applications
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System Identification and Controller Implementation of a Centrifugal Compressor for Circulation Control Applications

机译:用于循环控制应用的离心压缩机的系统识别和控制器实现

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This paper describes a comprehensive methodology to reduce the power penalties of an Air Supply Unit (ASU) used in Circulation Control Unmanned Aerial Vehicles (UC(2)AVs). Circulation Control (CC), which is an active flow control technique that can be used on fixed-wing aircraft to achieve lift augmentation, requires the use of an efficient CC system on-board. The experimental testbed for a CC system and the development and integration of both a PID and Fuzzy Logic (FL) control scheme are presented in this paper. Ground test experimental results indicate that power penalties can be minimized throughout the flight envelope. The results indicate that the behavior of both controllers exhibits a correlation to the simulation data above 67%. Additionally, both controllers present similar energy usage characteristics, when applied throughout a simulated flight envelope. Results also show that PI control displays a faster rise time and less overshoot than FL control in most cases, but also a longer settling time. Overall the PI controller displays better regulation of the dynamics of the CC system's behavior. The use of the active CC regulation systems described in this study provides opportunities for application to commercial UAV technology, providing important advances in this rapidly growing field.
机译:本文介绍了综合方法,以减少循环控制无人机(UC(2)AVS)中使用的空气供应单元(ASU)的动力损失。循环控制(CC)是一种可用于固定翼飞机以实现提升增强的主动流量控制技术,需要使用高效的CC系统。本文介绍了CC系统的实验测试和PID和模糊逻辑(FL)控制方案的开发和集成。地面测试实验结果表明,在整个飞行信封中可以最小化电力惩罚。结果表明,两个控制器的行为表现出与高于67%的模拟数据的相关性。另外,当在整个模拟飞行包络处时,两个控制器都存在类似的能量使用特性。结果还表明,在大多数情况下,PI控制在大多数情况下显示比FL控制更快的上升时间和较少的过冲,也是更长的稳定时间。总的来说,PI控制器会更好地调节CC系统行为的动态。本研究中描述的有源CC调节系统的使用为商业UAV技术提供了应用的机会,在此快速生长的领域提供了重要进展。

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