基于主汽温多模型的变论域模糊控制  

Variable Domain Fuzzy Control Based on Main Steam Temperature Multi-model

作　　者：李阳峰 金秀章[1] 姚宁 LI Yangfeng;JIN Xiuzhang;YAO Ning(School of Control and Computer Engineering,North China Electric Power University,Baoding 071003,China)

机构地区：[1]华北电力大学控制与计算机工程学院,河北保定071003

出　　处：《华北电力大学学报（自然科学版）》2023年第2期109-117,126,共10页Journal of North China Electric Power University：Natural Science Edition

摘　　要：火电厂主汽温系统具有非线性、大惯性、大迟延性等特点,针对传统串级PID控制在不同工况下控制效果变差且难以适应的问题,提出一种基于模糊决策构建切换算法的多模型变论域模糊控制方法。首先,基于预处理过的某火电厂历史数据利用改进粒子群算法对导前区和惰性区传递函数优化建模,再将其拟合为一阶纯迟延形式的广义被控对象。之后,在常规模糊PID的基础上引入变论域思想,并根据不同工况设计不同控制器,同时用改进粒子群优化变论域参数。最后,在控制过程中,采用模糊规则推理得到实际各控制器输出权值,从而实现多工况控制。仿真结果表明,在不同工况下较传统控制方案,控制品质有明显提升,表现出较好的鲁棒性。The main steam temperature system of thermal power plant has the characteristics of non-linearity,large inertia and large delay.As for the problem that the traditional cascade PID control is difficult to adapt to the poor control effect under different working conditions,a multi-model variable theory domain fuzzy control method based on fuzzy decision building scheduling algorithm was proposed.First of all,based on the previous preprocessed data of a certain power plant,we used improved particle swarm optimization algorithm to model guide and inertia transfer function optimization.Then it was fitted for the first order generalized controlled object in the form of pure delay.Later,on the basis of the conventional fuzzy PID,we introduced variable domain of ideas and designed the controller according to the different condition.At the same time,the improved particle swarm optimization was used to optimize the parameters of variable domain.Finally,in the control process,the fuzzy decision was used to get the actual output weight of each controller,so as to achieve control under various working condition.The simulation results show that compared with the traditional control scheme,the control quality is improved obviously under different working conditions,showing better robustness.

关 键 词：主汽温 模糊控制 变论域 模糊规则推理 多模型 粒子群 

分 类 号：TK323[动力工程及工程热物理—热能工程] TP273.4[自动化与计算机技术—检测技术与自动化装置]