符岳全,侯国莲,李泉
FU Yue-quan,HOU Guo-lian,LI Quan

• 1:浙江嘉华发电有限责任公司
• 2:华北电力大学控制科学与工程学院
• 3:浙江省电力试验研究院 浙江杭州310009
• 4:北京102206

摘要(Abstract)：

提出了一种新型智能PID控制器,并在电厂主汽温串级控制系统中进行仿真研究。智能PID控制器由模糊PD控制器和自调节积分环节并联组成,其特点是:模糊控制器的规则库由自适应神经元在线调节,积分器的增益由模糊推理机在线整定。因而该控制系统是无模型控制系统,无须被控对象的精确数学模型,系统可以实现参数的自整定,具有很强的自学习能力。对某超临界600MW直流锅炉主汽温控制的仿真结果表明,这种控制器可以实现多个工况点的控制,具有很强的自适应能力,并且在大范围的负荷变化和时变控制系统中仍具有稳定的控制效果、较强的鲁棒性和较好的抗扰动性能。
A novel intelligent PID controller is proposed and applied to the cascade feedback control system of boiler steam temperature in this paper.This intelligent PID controller is composed of fuzzy PD controller and an integral controller with self-tuning ability.The main characteristics of this controller are that the rules of fuzzy controller are adjusted through single-neuron self-learning on-line and the gain of integrator is tuned by fuzzy inference on-line.So the parameters of this controller are tuning on-line through intelligent algorithm completely,this controller is independent of the system model.After applied to the superheated steam temperature cascade control system of 600 MW coal-fired boiler,a great number of simulation results show that the controller not only has strong adaptive ability to control different working situations,but also has more stable control performance and stronger robustness and better characteristics of overcoming disturbances during the large scale load change and real-time change controlled system.

关键词(KeyWords)： 单神经元;自适应;智能PID;模糊控制;主汽温控制
single-neuron;adaptive;intelligent PID;fuzzy control;superheated steam temperature

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 符岳全,侯国莲,李泉
FU Yue-quan,HOU Guo-lian,LI Quan

DOI: 10.19585/j.zjdl.2007.06.004

参考文献(References)：

• [1]范永胜,徐自皋.基于动态特性机理分析的锅炉主汽温自适应模糊控制系统研究[J].中国电机工程学报,1997,17(1):23-28.
• [2]胡一倩,吕建虹,张铁军.一类自适应模糊控制方法研究及在汽温控制中的应用[J].中国电机工程学报,2003,23(1):136-140.
• [3]赵锡龄,焦云婷.单神经元自适应控制PSD在再热汽温控制中的应用[J].中国电机工程学报.2001,21(2):93-96.
• [4]杨智,高靖.神经元自适应预测PID控制器及实现[J].信息与控制,1999,28(5):345-349.
• [5]沈永福,吴少军,邓方林.智能PID控制综述[J].工业仪表与自动化装置,2002(6):11-13.
• [6]王永骥,涂健.神经元网络控制[M].北京:机械工业出版社,1998.
• [7]李泉.新型智能控制系统研究及其在热工过程中的应用[D].北京:华北电力大学(北京),2004.