摘要
针对普通空压机普遍存在的耗能过高且控制效果不佳的问题,在研究比例-积分-微分(PID)算法和鸡群算法的基础上,对空压机的控制算法进行了改进,利用鸡群算法对PID的三个参数进行整定,并将这种智能算法应用到PLC控制器中。仿真实验和实际测试表明:该智能算法不仅实现了对空压机系统的有效控制,而且增强了系统的抗干扰能力,节能效果更佳。
Air compressor is a device for compressing air.It is widely used in light industry,chemical industry,textile,machinery,electronics,mining,metallurgy,food,medical and other fields.It is almost associated with various industries of national economic development.Importantly,the current air compressors generally consume.Aiming at the problems of high energy consumption and poor control effects of general common air compressors,control algorithm for air compressor is improved on the basis of research on proportional-integral-differential(PID)algorithm and chicken swarm optimization(CSO)algorithm.Three parameters of PID are adjusted by chicken swarm optimization(CSO)algorithm and the intelligent algorithm is applied to PLC controller.Simulation experiment and the actual test show that the intelligent algorithm not only realizes the effective control over the air compressor system,but also enhances the anti-interference ability of the system,and the energy saving effect is better.
作者
吕晨悦
施一萍
刘瑾
张金立
程宗政
Lü Chenyue;SHI Yiping;LIU Jin;ZHANG Jinli;CHENG Zongzheng(School of Electronic&Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《传感器与微系统》
CSCD
北大核心
2021年第1期157-160,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(61701296)
上海工程技术大学研究生科创项目(18KY0227)。
关键词
空压机
比例-积分-微分(PID)算法
鸡群优化算法
air compressor
proportional-integral-differential(PID)algorithm
chicken swarm optimization(CSO)algorithm
