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Navigation control and stability investigation of a hexacopter equipped with an aerial manipulater

机译:装备空中机械手的六泊车的导航控制和稳定性研究

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In this paper, the dynamics model of a hexacopter equipped with a robotic arm has been formulated using Newton-Euler's method and its stability was investigated. For disturbances emulation, a simplified pendulum method was used. This Hexacopter configuration was not covered in scientific papers before. The resulting model is a nonlinear, coupled, and underactuated dynamics model, which includes aerodynamic effects and disturbances because of equipping the hexacopter with a robotic arm. The purpose of the presented paper is to offer a comprehensive study of determining the inertia moments of the hexacopter using a simplified pendulum method, taking into consideration the effect of mass distribution and center of gravity changes, which are a result of the continuous movement of the manipulator during the hexacopter motion in the air. The experimental tests were made using solid works application and were evaluated using LabVIEW in order to get a complete view of the disturbances, which were inserted into the dynamics model. The overall aircraft model was driven by four classical PID controllers for the vehicle's attitude and altitude of a desired trajectory in the space. These controllers were used to get a good understanding of how to evaluate and validate the model to make it an anti-disturbance model, in addition to their ease of design and fast response, but they require development in order to get optimal results. In future, a precise trajectory will be defined, and the controllers will be developed in order to get robust stability using nonlinear techniques and artificial intelligence.
机译:本文使用牛顿 - 欧拉的方法配制了配备有机器人臂的六泊车的动力学模型,并研究了其稳定性。对于干扰仿真,使用简化的摆锤。这种六顶配置未在科学论文之前涵盖。得到的模型是非线性,耦合和欠扰动的动力学模型,包括空气动力学效果和扰动,因为用机器人臂装配六转翅膀。本文的目的是提供一种综合研究,可以使用简化的摆动方法确定六泊泊车的惯性矩,考虑到质量分布和重心变化的效果,这是持续运动的结果在空中六泊车运动期间的操纵器。使用固体工程应用进行实验测试,并使用LabVIEW进行评估,以便将其插入动态模型的干扰完整视图。整体飞机模型由四个古典PID控制器驱动,用于车辆的姿态和空间所需轨迹的高度。这些控制器用于了解如何评估和验证模型以使其成为反干扰模型的良好理解,除了易于设计和快速响应之外,还需要开发以获得最佳结果。将来,将定义精确的轨迹,并将开发控制器,以便使用非线性技术和人工智能来获得鲁棒稳定性。

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