| 基于自适应PID的切带机控制系统设计 |
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| 引用本文： | 姚庆文,何成平.基于自适应PID的切带机控制系统设计[J].煤炭技术,2011,30(11). |
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| 作者姓名： | 姚庆文 何成平 |
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| 作者单位： | 常州轻工职业技术学院电子电气工程系,江苏常州,213164 |
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| 基金项目： | 横向课题资助项目(切带机控制系统改造)(HK2010-14) |
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| 摘 要： | 切带机控制系统中,位置控制是重要的环节,控制的好坏直接影响到产品质量及生产效率的高低。针对切带机电气系统的控制要求,提出了一种HMI+PLC+半闭环伺服位置控制的策略,实现了切带机的手自动运行控制。为提高控制精度,在传统的PID控制中加入DRNN神经网络算法,用于PID参数的自整定。仿真结果表明,其性能明显改善。
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| 关 键 词： | 自适应PID控制器 位置控制 切带机 神经网络 |
Design of Cuttiing Machine Control System Based on Self-adaptive PID |
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| YAO Qing-wen,HE Cheng-ping.Design of Cuttiing Machine Control System Based on Self-adaptive PID[J].Coal Technology,2011,30(11). |
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| Authors: | YAO Qing-wen HE Cheng-ping |
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| Affiliation: | YAO Qing-wen,HE Cheng-ping(Department of Elctron&electric Engineering,Changzhou Institute of Light Industry Technology,Changzhou 213164,China) |
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| Abstract: | Position control is a very important part of processing control in cutting machine system.The quality of control decides the quality of products and productivity.Aimming at the electrical system control requirements,a kind of HMI & PLC & semi-closed servo position control strategy is putted forward to achieve manual/automatic operation control cutting machine.A new dynamic neural network-diagonal recurrent neural network(DRNN) is presented in order to improve the control precision,which is applied in self-t... |
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| Keywords: | self-adaptive PID position control cutting machine neural network |
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