摘要
为提高注塑机电磁感应加热装置温度控制系统的控制精度和响应速度,提出了一种基于改进人工蜂群算法的电磁加热温度控制策略。该策略在传统人工蜂群算法基础上,向当前种群最优个体和随机个体中增加了学习因子,在目标函数中融入超调量机制。仿真结果表明:与带Smith预估控制的线性二次最优比例积分微分控制方法和粒子群算法相比,采用改进人工蜂群算法温度控制系统升至100℃时的误差小,控制精度高,阶跃响应平滑。
An electromagnetic heating temperature control strategy based on improved bee colony algorithm was proposed to enhance the control accuracy of the temperature control system of injection molding machine and shorten the control time.The learning factor was added to the optimal and random individuals of the current population according to the traditional artificial bee colony algorithm,and the output overshoot mechanism was integrated into the objective function.The simulation results show that the improved artificial bee colony algorithm has a more minor error,higher control accuracy and smoother step response than the linear quadratic optimal proportional-integral-derivative control method with Smith predictive control and particle swarm optimization when the system temperature reaches 100℃.
作者
王力
高珣洋
朱亮宇
赵志挺
Wang Li;Gao Xunyang;Zhu Liangyu;Zhao Zhiting(School of Mechanical and Power Engineering,Shenyang University of Chemical Technology,Shenyang 110021,China)
出处
《合成树脂及塑料》
CAS
北大核心
2023年第5期51-56,共6页
China Synthetic Resin and Plastics
关键词
注塑机
人工蜂群
比例积分微分控制
温度控制
plastic injection machine
artificial bee colony
proportional-integral-derivative control
temperature control
