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Lateral directional fractional order (PI)<0; control of a small fixed-wing unmanned aerial vehicles: controller designs and flight tests

机译:小型固定翼无人机的横向方向分数阶(PI) <0; 控制:控制器设计和飞行测试

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摘要

In this study, a fractional order (PI);B; controller is developed and implemented to improve the flight control performance and robustness of a small fixed-wing unmanned aerial vehicle (UAV). The decoupled roll-channel control is realised under certain conditions and tested using the designed controllers in this study. The inner closed-loop system of the roll-channel is approximately identified as a first-order plus time delay model using the flight test data. For comparison purpose, an integerorder PI controller is designed following the modified Ziegler??Nichols (MZNs) tuning rule, based on this identified rollchannel control model. According to three design pre-specifications, the integer-order proportional integral derivative (PID), fractional-order (PI);B; and (PI);B; controllers are designed for the roll-channel flight control system of a small fixed-wing UAV. These three designed controllers share the same gain crossover frequency and phase margin settings for fair comparisons. From both simulation and real flight experiments, the two designed fractionalorder controllers outperform the MZNs PI and the designed integer-order PID controllers. The designed (PI);B; controller can achieve even better performance than the designed (PI);B; controller.
机译:在这项研究中,分数阶(PI); B;该控制器的开发和实施旨在提高小型固定翼无人机的飞行控制性能和鲁棒性。在某些条件下实现了解耦的侧倾通道控制,并在本研究中使用设计的控制器对其进行了测试。使用飞行测试数据,滚动通道的内部闭环系统大约被识别为一阶加时延模型。为了进行比较,基于修改后的齐格勒·尼科尔斯(MZNs)调整规则,基于此识别出的滚动通道控制模型,设计了整数阶PI控制器。根据三个设计预规范,整数阶比例积分微分(PID),分数阶(PI); B;和(PI); B;控制器是为小型固定翼无人机的侧翻通道飞行控制系统设计的。这三个设计好的控制器共享相同的增益交叉频率和相位裕量设置,以进行公平比较。从仿真和实际飞行实验来看,这两种设计的分数阶控制器均优于MZNs PI和设计的整数阶PID控制器。设计(PI); B;控制器可以获得比设计(PI)更好的性能;控制器。

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  • 来源
    《Control Theory & Applications, IET》 |2011年第18期|p.2156-2167|共12页
  • 作者

    Luo Y.; Chao H.; Di L.; Chen Y.Q.;

  • 作者单位

    Department of Automation Science and Engineering, South China University of Technology, Guangzhou, People's Republic of China, Center for Self-Organizing and Intelligent Systems (CSOIS), Department of Electrical and Computer Engineering, Utah State University;

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  • 正文语种 eng
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  • 入库时间 2022-08-17 14:18:03

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