改进型单神经元PID在多温区系统中的应用  

Application of Single Neuron PID Ameliorated in Multiple Temperature Zones Control System

作　　者：汪学军[1] 鲁五一[1] 郭益安[2] 

机构地区：[1]中南大学信息科学与工程学院,湖南长沙410075 [2]大连海事大学信息科学与工程学院,辽宁大连116026

出　　处：《计算机测量与控制》2007年第7期949-952,共4页Computer Measurement &Control

摘　　要：在介绍多温区控制系统的基础上,提出一种改进型单神经元自适应PID控制策略,利用模糊集理论和Marsik与Strejc的无需辩识的自适应控制算法对单神经元自适应控制策略进行了改进,并对该策略进行了仿真,对比了传统PID、单神经元PID和改进型单神经元PID三者的仿真曲线,并且将该策略应用到温度控制系统中,仿真和实际控温效果表明该控制策略具有很好的自学习、自组织能力和鲁棒性,而且具有较好的实现性,是一种很有发展前景的控制策略。Control strategy of single Neuron self-adaptive PID ameliorated is presented at the base of introducing multiple-temperature zones control system, Control strategy of single Neuron self-adaptive PID is ameliorated using fuzzy set technology and self-adaptive control algorithm without identification that has been presented by Marsik and Strejc, and also simulation is executed using the control strategy, and the simulation curves are compared among the traditional PID, single Neuron PID and single Neuron PID ameliorated. The control strategy also is applied at the temperature control system, the efficiency of simulation and temperature control indicates that the control strategy has the abilities of self-study and self organizing and robustness , and that also has preferable realizability, this is a control strategy that has good trend of development.

关 键 词：多温区系统 单神经元自适应PID 模糊集 自适应控制 鲁棒性 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]