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A Sliding Mode LCO Regulation Strategy for Dual-Parallel Underactuated UAV Systems Using Synthetic Jet Actuators

机译:使用合成射流作动器的双并联欠驱动无人机系统的滑模LCO调节策略

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摘要

Aslidingmode control-(SMC-) based limit cycle oscillation (LCO) regulation method is presented, which achieves asymptotic LCO suppression for UAVs using synthetic jet actuators (SJAs). With a focus on applications involving small UAVs with limited onboard computational resources, the controller is designed with a simplistic structure, requiring no adaptive laws, function approximators, or complex calculations in the control loop. The control law is rigorously proven to achieve asymptotic regulation of both pitching and plunging displacements for a class of systems in a dual-parallel underactuated form, where a single scalar control signal simultaneously affects two states. Since dual-parallel underactuated systems cannot be expressed in a strict feedback or cascade form, standard backstepping-based control techniques cannot be applied. This difficulty is mitigated through careful algebraic manipulation in the regulation error system development, along with innovative design of the sliding surface. A detailed model of the UAV LCO dynamics is utilized, and a rigorous analysis is provided to prove asymptotic regulation of the pitching and plunging displacements. Numerical simulation results are provided to demonstrate the performance of the control law.
机译:提出了基于滑模控制(SMC)的极限循环振荡(LCO)调节方法,该方法利用合成射流致动器(SJA)实现了无人机的渐近LCO抑制。着眼于涉及小型无人机的有限计算资源的应用,该控制器的结构设计简单,无需自适应定律,函数逼近器或控制回路中的复杂计算。严格证明,对于双并联欠驱动形式的一类系统,该控制律可实现俯仰和俯冲位移的渐近调节,其中单个标量控制信号同时影响两个状态。由于不能以严格的反馈或级联形式表示双并联欠驱动系统,因此无法应用基于标准反推的控制技术。通过在调节误差系统开发中进行精心的代数运算以及滑动面的创新设计,可以缓解这种困难。利用无人机LCO动力学的详细模型,并进行了严格的分析,以证明俯仰和俯冲位移的渐近调节。数值仿真结果证明了该控制律的性能。

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  • 来源
    《International journal of aerospace engineering》 |2015年第2015期|795348.1-795348.7|共7页
  • 作者单位

    Embry Riddle Aeronaut Univ, Dept Phys Sci, Daytona Beach, FL 32114 USA;

    Embry Riddle Aeronaut Univ, Dept Phys Sci, Daytona Beach, FL 32114 USA;

    Embry Riddle Aeronaut Univ, Dept Phys Sci, Daytona Beach, FL 32114 USA;

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  • 正文语种 eng
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  • 入库时间 2022-08-18 00:05:55

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