Hybrid disturbance observer and fuzzy logic controller for a new aerial manipulation system.

IF 3 Q2 ROBOTICS
Frontiers in Robotics and AI Pub Date : 2025-07-07 eCollection Date: 2025-01-01 DOI:10.3389/frobt.2025.1528415
Alaa Khalifa, Shaaban M Shaaban, Ahmed Khalifa
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引用次数: 0

Abstract

Aerial manipulation systems are highly attractive for various applications due to their distinctive features. However, the systems discussed in the literature are constrained by either a restricted number of end-effector degrees of freedom (DOFs) or low payload capability. In our previous research, we mounted a manipulator with a gripper on the underside of a quadrotor to enhance environmental interaction. This paper explores a quadrotor equipped with a 2-DOF manipulator featuring a distinctive topology that allows the end-effector to follow a specified 6-DOF trajectory with the least number of actuators required. An overview of the proposed manipulation system, along with its kinematic and dynamic analysis, is presented. Nevertheless, controlling this system presents significant challenges because of its considerable couplings, nonlinearities, and external disturbances. This paper employs a Disturbance Observer (DOb)-based linearization for an aerial manipulation robot. The DOb-based inner loop is responsible for estimating and compensating nonlinearities and disturbances, which simplifies the control problem into a more straightforward linear control algorithm. Subsequently, a fuzzy logic controller is incorporated into the outer loop to achieve the desired control objectives and closed-loop performance while minimizing computational load. Stability analysis of the proposed controller is introduced. Finally, the system is simulated using MATLAB/SIMULINK, and the results demonstrate tracking accuracy during 6-DOF maneuvers under many kinds of disturbances, with low computational load. The system maintains stability during payload exchanges while respecting all actuator constraints (rotor thrust less than 6 N, joint torques less than 0.7 and 0.4 N.m, respectively). These results demonstrate the effectiveness of the proposed control approach. Also, they show that the proposed controller outperforms the DOb-PD controller's response.

一种新型航空操纵系统的混合扰动观测器和模糊控制器。
空中操纵系统由于其独特的特点,在各种应用中具有很高的吸引力。然而,在文献中讨论的系统受到限制的数量的末端执行器自由度(dof)或低有效载荷能力。在我们之前的研究中,我们在四旋翼飞行器的底部安装了一个带有夹持器的机械手,以增强与环境的交互。本文探讨了一种配备2自由度机械臂的四旋翼,该四旋翼具有独特的拓扑结构,允许末端执行器以最少的执行器数量遵循指定的6自由度轨迹。概述了所提出的操纵系统,以及其运动学和动力学分析。然而,由于其相当大的耦合、非线性和外部干扰,控制该系统提出了重大挑战。本文采用基于扰动观测器(DOb)的线性化方法对空中操纵机器人进行控制。基于dob的内环负责估计和补偿非线性和干扰,将控制问题简化为更直接的线性控制算法。然后,在外环中加入模糊逻辑控制器,以实现期望的控制目标和闭环性能,同时最小化计算负荷。介绍了该控制器的稳定性分析。最后,利用MATLAB/SIMULINK对该系统进行仿真,结果表明该系统在多种干扰下具有良好的六自由度机动跟踪精度,且计算量低。该系统在载荷交换过程中保持稳定,同时尊重所有执行器约束(转子推力小于6 N,关节扭矩分别小于0.7和0.4 N.m)。这些结果证明了所提出的控制方法的有效性。此外,他们还表明,所提出的控制器优于DOb-PD控制器的响应。
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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来源期刊
CiteScore
6.50
自引率
5.90%
发文量
355
审稿时长
14 weeks
期刊介绍: Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.
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