A Modified Total Energy Control Scheme for Unmanned Aircraft

Peter Bauer
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Abstract

Abstract The paper focuses on safety and simplicity of unmanned aircraft longitudinal control and proposes a new combination of total energy control (TECS) and conventional control. The introduced new modified total energy control (TECSMOD) method applies IAS priority all the time. IAS is controlled through the elevator while the total energy of the system and so the altitude is maintained with throttle. Neither engine fault or stall detection nor switching logic is required while stall is prevented keeping the solution simple and safe. To prove the viability of the new concept it is compared to a conventional multiple zone PI controller and the TECS solution in simulation and real flight tests. First, the six degrees of freedom simulation model of the Sindy test UAV (developed and built in Institute for Computer Science and Control, HUN-REN, Hungary) is verified comparing its inputs and outputs to flight results. Then a simulation campaign is done for all three controllers with special test cases which can be critical according to the literature. Finally, real flight test comparison is done considering IAS and altitude tracking and engine fault handling. The new method was the best in IAS tracking with acceptable results in altitude tracking and successful stall prevention upon engine fault (without any fault detection or switching). Future improvements can be fine tuning for improved altitude tracking with the price of decreased IAS tracking performance and the introduction of a glideslope tracking mode for landing scenarios.
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一种改进的无人机总能量控制方案
摘要针对无人机纵向控制的安全性和简便性,提出了一种新的全能量控制与常规控制相结合的方法。提出了一种新的改进的总能量控制(TECSMOD)方法,该方法始终采用IAS优先级。IAS是通过电梯控制的,而系统的总能量是通过节流阀来保持高度的。既不需要发动机故障或失速检测,也不需要切换逻辑,同时防止失速,使解决方案简单安全。为了证明新概念的可行性,将其与传统的多区域PI控制器和TECS解决方案进行了仿真和实际飞行测试。首先,对Sindy测试无人机(由匈牙利hunn - ren计算机科学与控制研究所开发和建造)的六自由度仿真模型进行验证,并将其输入和输出与飞行结果进行比较。然后对所有三个控制器进行模拟活动,并进行特殊测试用例,根据文献,这可能是至关重要的。最后,将IAS与高度跟踪、发动机故障处理进行了实飞比较。新方法在IAS跟踪中效果最好,在高度跟踪和发动机故障时成功防止失速(没有任何故障检测或切换)。未来的改进可以是微调改进的高度跟踪,以降低IAS跟踪性能为代价,并为着陆场景引入滑梯跟踪模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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