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System Identification and Robust Controller Design for the Autopilot of an Unmanned Helicopter

机译:无人直升机自动驾驶仪的系统识别和鲁棒控制器设计

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摘要

One of the most complex issues which are proposed in designing a controller for autopilots is robustness. This requirement is due to the dynamic model changes and also, the resistance to environmental disturbances. A main factor that changes the dynamic model of the helicopter autopilot is any change in body mass center, such as any additional load. Furthermore, wind is one of the main causes of environmental disturbances. In this paper model identification of four systems in helicopter by using real data is presented. For all systems robust H2/H_∞ and mixed sensitivity controller are designed. The simulation results show the robustness of designed controllers in the existence of uncertainty. The designed controller was implemented on the real case study. Results demonstrate the robustness of the system.
机译:在设计用于自动驾驶仪的控制器时提出的最复杂的问题之一是鲁棒性。这一要求是由于动态模型的变化,而且也是对环境干扰的抵抗力。改变直升机自动驾驶仪的动态模型的主要因素是体重中心的任何变化,例如任何额外的负载。此外,风是环境干扰的主要原因之一。在本文通过使用实际数据识别四个直升机中的四个系统的模型。对于所有系统,设计了H2 /H_∞和混合灵敏度控制器。仿真结果表明,设计控制器存在不确定性的鲁棒性。设计的控制器在真实的案例研究中实现。结果展示了系统的稳健性。

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