| 工业过程控制算法设计与仿真 |
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| 引用本文： | 文志勇,谢宏,何怡刚.工业过程控制算法设计与仿真[J].计算机仿真,2010,27(4):133-137. |
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| 作者姓名： | 文志勇 谢宏 何怡刚 |
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| 作者单位： | 湖南大学电气与信息工程学院自动化系,湖南,长沙,410082 |
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| 基金项目： | 国家自然科学基金项目(50677014、60876022);;高校博士点基金(20060532002);;国家863计划(2006AA04A104);;湖南省自然科学基金项目(06JJ2024) |
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| 摘 要： | 传统的Smith预估器在理论上解决了纯滞后系统控制问题,但由于它必须依赖被控对象精确的数学模型,在实际应用中存在局限。要克服Smith算法的局限性,采用一种具有比例、积分和微分神经元的PID神经元网络(PIDNN)与Smith预估器结合的算法,利用Smith对纯滞后系统进行预估补偿以及PID神经元网络的自适应、自学习和在线自调整控制器的参数的功能,解决大纯滞后系统的控制问题。仿真结果表明该Smith-PIDNN算法简单,稳定且收敛速度快,能够很好地改善大纯滞后系统的性能指标。
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| 关 键 词： | 神经元网络 史密斯预估 大纯滞后系统 |
Design and Simulation of the Control Algorithm Based on Smith-PIDNN |
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| WEN Zhi-yong,XIE Hong,HE Yi-gang.Design and Simulation of the Control Algorithm Based on Smith-PIDNN[J].Computer Simulation,2010,27(4):133-137. |
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| Authors: | WEN Zhi-yong XIE Hong HE Yi-gang |
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| Affiliation: | College of Electrical and Information Engineering/a>;Hunan University/a>;Changsha Hunan 410082.China |
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| Abstract: | The traditional Smith predictor can solve the problem of time delay control system in theory.It must rely on the accurate model of the controlled object,so there are some limitations in practice applications.This paper adopted a neural network containing proportion neural unit,differential neural unit and integral neural unit,and combined it with Smith predictor.By using Smith predictor as a compensator for the time delay system and the neural network functions of self-adaptive,self-learning and on-line sel... |
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| Keywords: | Neural unit networks Smith predictor Large time delay system |
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