基于改进PSO和分数阶滑模的四旋翼无人机轨迹跟踪
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Trajectory Tracking Controller of Quadrotor UAV Based on Improved PSO and Fractional Sliding Mode
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    摘要:

    针对四旋翼无人机系统强耦合、非线性导致期望轨迹难以精准跟踪的问题,设计一种结合改进的粒子群算法(particle swarm optimization,PSO)和分数阶积分滑模的控制器。采用滑模控制法设计姿态内环和位置外环控制器,选取控制器输出和跟踪误差的函数作为优化目标函数;为改善系统中高频抖振问题,引入分数阶指数趋近律来提高控制效果,并给出了系统能够有限时间稳定的充分条件;针对滑模参数和误差系数难整定问题,采用PSO算法优化了滑模参数,加快了收敛速度。Matlab仿真结果表明,该控制器能较好地满足四旋翼轨迹跟踪控制的需求。

    Abstract:

    Aiming at the problem that the strong coupling and nonlinearity of quadrotor UAV system make it difficult to track the desired trajectory accurately, a controller combining improved particle swarm optimization (PSO) algorithm and fractional order integral sliding mode is designed. The sliding mode control method is used to design the inner attitude loop and outer position loop controllers, and the function of controller output and tracking error is selected as the optimization objective function; To improve the high-frequency chattering problem in the system, a fractional order exponential reaching law is introduced to improve the control effect, and sufficient conditions for the system to be stable in finite time are given; In response to the problem of difficult tuning of sliding mode parameters and error coefficients, an improved PSO algorithm was adopted to optimize the sliding mode parameters and accelerate the convergence speed. Matlab simulation results show that the controller can meet the requirements of quadrotor trajectory tracking control.

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邵克勇.基于改进PSO和分数阶滑模的四旋翼无人机轨迹跟踪[J].,2025,44(09).

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  • 收稿日期:2024-09-22
  • 最后修改日期:2024-10-23
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  • 在线发布日期: 2025-11-04
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