摘要
针对工业现场复杂的时变系统存在的经典PID控制调节复杂、效应滞后、超调量大、稳定性差等问题,将模糊控制与内模PID控制相结合,并对滤波参数进行优化调整以适应复杂工业系统。首先,在完成模型辨识后,将内模控制等效为PID反馈控制,采用麦克劳林展开,并加入一阶时滞模型,形成等效反馈控制器的传递函数;其次,利用模糊控制策略,设计模糊内模PID控制器,利用偏差和偏差变化率实时调整内模PID的滤波参数λ;最后,分别利用MATLAB软件和功率控制装置进行仿真和测试。实验结果表明,模糊内模PID控制具有更快的响应速度和更小的超调。
Aiming at the problems of complex time-varying systems in industrial sites,such as complex PID control adjustment,effect lag,large overshoot and poor stability,fuzzy control and internal mold PID control are combined,and the filter parameters are optimized and adjusted to adapt to complex industrial systems.Firstly,after completing the model identification,the internal model control is equivalent to PID feedback control,which is expanded by McLaughlin and added to form the transfer function of the equivalent feedback controller.Secondly,the fuzzy internal model PID controller is designed by using the fuzzy control strategy,and the filter parameterλof the internal model PID is adjusted in real time by using the deviation and deviation change rate.Finally,MATLAB software and power control devices were used for simulation and testing.Experimental results show that fuzzy internal model PID control has faster response speed and smaller overshoot.
作者
葛笑寒
杜琛鑫
GE Xiaohan;DU Chenxin(College of Applied Engineering,Henan University of Science and Technology,Sanmenxia 472000,China;School of Intelligent Manufacturing,Sanmenxia Polytechnic,Sanmenxia 472000,China)
出处
《实验技术与管理》
CAS
北大核心
2023年第6期104-108,共5页
Experimental Technology and Management
基金
河南省高校青年骨干教师培养计划项目(2020GZGG076)
三门峡市科技发展计划项目(2021002001)。
关键词
一阶时滞系统
模型识别
模糊控制
内模PID
MATLAB仿真
first-order time delay system
model identification
fuzzy control
internal mold PID
MATLAB simulation
