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Vibration Control of Piezoelectric Flexible Manipulator Based on Machine Vision and Improved PID

机译:基于机器视觉和改进PID的压电柔性机械手的振动控制

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In aerospace and aviation, in equipment with light and high-speed motion, the mechanism rods must be designed to be lightweight and flexible to meet the requirements of reducing energy consumption, weight and cost, so it is necessary and meaningful to study how to suppress the vibration of flexible robotic arms. On the basis of numerical simulation analysis, an intelligent flexible manipulator system measurement and control platform is built. Numerical simulation and experimental results show that the proposed control strategy is feasible. This topic takes the multi-flexible robot arm as the research object, and uses the method of PID fuzzy control fusion to suppress the elastic vibration of the flexible robot arm. The vibration during the operation of the flexible arm reduces its positioning and operation accuracy, and the vibration suppression effect of the flexible arm is not the same in different control algorithms. To solve the problem that contact measurement affects the structure characteristics and the setting of PID control parameters is not ideal in the vibration active control system, the vibration control is carried out by using machine vision technology to measure the vibration of the structure and combined with the PID optimized by artificial fish swarm algorithm [1]. The main purpose of this paper is to improve the positioning and control accuracy of the flexible arm end and improve the operating efficiency of the system.
机译:在航空航天和航空中,在带有光和高速运动的设备中,机构杆必须设计为轻巧灵活,以满足降低能量消耗,重量和成本的要求,因此研究如何抑制是必要和有意义的柔性机器人臂的振动。在数值模拟分析的基础上,建立了智能柔性机械手系统测量和控制平台。数值模拟和实验结果表明,建议的控制策略是可行的。本主题采用多柔性机器人ARM作为研究对象,并采用PID模糊控制融合方法来抑制柔性机器人臂的弹性振动。柔性臂的操作期间的振动降低了其定位和操作精度,并且在不同的控制算法中柔性臂的振动抑制效果不尽。为了解决接触测量影响的问题影响结构特性和PID控制参数的设置在振动有源控制系统中不理想,通过使用机器视觉技术进行振动控制来测量结构的振动并结合使用通过人工鱼类群算法优化PID [1]。本文的主要目的是提高柔性臂的定位和控制精度,提高系统的运行效率。

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