| 智能PID参数自整定技术在伺服系统中的应用 |
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| 引用本文： | 林青松,姚玉菲,王军晓.智能PID参数自整定技术在伺服系统中的应用[J].自动化仪表,2011,32(2). |
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| 作者姓名： | 林青松 姚玉菲 王军晓 |
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| 作者单位： | 河南科技大学电子信息工程学院,河南,洛阳,471003 |
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| 摘 要： | 针对常规PID控制参数整定困难,且受时变、非线性等因素影响而不能达到预期控制效果的实际情况,提出了RBF网络动态辨识的BP神经网络PID参数自整定算法.此算法可实现PID控制参数的在线自整定和优化;同时,将算法应用于伺服控制系统中,以VC++6.0和Matlab为开发和仿真工具,对动态辨识神经网络智能PID参数自整定方法进行仿真研究.仿真结果表明,控制算法鲁棒性强、响应速度快,可用于控制参数时变的非线性系统.
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| 关 键 词： | 伺服系统 参数自整定 PID控制 BP神经网络 RBF辨识 Matlab仿真 |
Application of Intelligent PID Parameters Auto-tuning Technology in Servo System |
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| Lin Qingsong,Yao Yufei,Wang Junxiao.Application of Intelligent PID Parameters Auto-tuning Technology in Servo System[J].Process Automation Instrumentation,2011,32(2). |
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| Authors: | Lin Qingsong Yao Yufei Wang Junxiao |
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| Affiliation: | Lin Qingsong Yao Yufei Wang Junxiao |
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| Abstract: | In accordance with the actual conditions of conventional PID control tuning,i.e.difficult to reach expected control effects because of the influence of time varying and non-linearity,the new algorithm based on RBF neural network dynamic identification for PID parameters auto-tuning is proposed.The algorithm implements online auto-tuning and optimization for PID control parameters;in addition,it has been applied in servo system and simulated with the software tools of VC++ 6.0 and Matlab.The result of simula... |
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| Keywords: | Servo system Parameters auto-tuning PID control BP neural network RBF identification Matlab simulation |
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