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A parameter self-tuning fuzzy-PID control system for pneumatic manipulator of library robot

机译:图书馆机器人气动机械手的参数自整定模糊PID控制系统

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An embedded controller for the pneumatic manipulator of library robot is designed using PC/104 boards system. The parameter self-tuning fuzzy-PID algorithm of the controller is the emphasis of the design. According to the valuation table of membership and the fuzzy logic rules, the modified parameters are drawn by searching the fuzzy matrix table, and the parameters'' online self-tuning of the fuzzy-PID algorithm is finished. The intelligent control of the pneumatic manipulator of library robot is realized by programming using Microsoft eMbedded Visual C++ (EVC). The algorithm flow diagram of the control software and the key method are given. The simulation is finished by inputting some typical signals such as step and sine signal. The experiment result illustrates that the pneumatic manipulator of library robot can quickly trace the target value and keep a satisfied stability and a nearly zero error. The designed method put forward in this paper has a generic application meaning to similar fields.
机译:利用PC / 104板系统设计了图书馆机器人气动机械手的嵌入式控制器。控制器的参数自整定模糊PID算法是设计的重点。根据隶属度的赋值表和模糊逻辑规则,通过搜索模糊矩阵表来绘制修改后的参数,完成了模糊PID算法的参数在线自整定。图书馆机器人气动机械手的智能控制是通过使用Microsoft eMbedded Visual C ++(EVC)进行编程实现的。给出了控制软件的算法流程图和关键方法。通过输入一些典型信号(例如步进和正弦信号)来完成仿真。实验结果表明,图书馆机器人的气动机械手可以快速跟踪目标值,并保持满意的稳定性和接近零的误差。本文提出的设计方法对类似领域具有普遍的应用意义。

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