摘要
在注塑工艺过程中,注射速度控制是其重要环节之一,实现注射速度的快速可靠优化控制对于注塑产品的高效生产具有重要意义。该文针对一类典型的注塑装备中的伺服电机驱动恒泵液压系统,研究了注塑机工作过程中的注射速度最优跟踪控制问题,提出一种高效的基于控制参数化与粒子群优化相结合的混合智能优化控制方法,分别设计实现了开环最优控制器和状态反馈最优控制器,将控制器设计问题转化为一序列最优参数选择问题,实现了在给定时间内对所期望的注射速度跟踪控制的高效求解。最后通过实验仿真结果验证了所提出的混合优化控制算法对于求解注塑工艺过程中注射速度的动态优化问题的可行性和有效性。
In the process of injection molding,the injection speed control is one of the important aspects,and it is important to achieve fast and reliable optimal control of the injection speed for the efficient production of injection molded products.In this paper,an efficient hybrid intelligent optimal control method based on the combination of control parameterization and particle swarm optimization is proposed,and an open-loop optimal controller and a state feedback optimal controller are designed and implemented,respectively.The controller design problem is transformed into a sequence of optimal parameter selection problems to achieve an efficient solution for the desired injection speed tracking control in a given time.Finally,the feasibility and effectiveness of the proposed hybrid optimal control algorithm for solving the dynamic optimization problem of the injection speed in the injection molding process are verified by experimental simulation results.
作者
任志刚
吴国燊
吴宗泽
REN Zhigang;WU Guoshen;WU Zongze(School of Automation,Guangdong University of Technology,Guangzhou 510006,China;Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing,Guangdong University of Technology,Guangzhou 510006,China)
出处
《电子与信息学报》
EI
CSCD
北大核心
2022年第5期1664-1673,共10页
Journal of Electronics & Information Technology
基金
广东省重点领域研发计划(2021B0101200005)
国家自然科学基金(62073088,U1911401)
广东省基础与应用基础研究基金(2019A1515011606)。
关键词
工业过程
控制参数化
优化控制
粒子群优化
注塑成型
Industrial process
Control parameterization
Optimization and control
Particle Swarm Optimization(PSO)
Injection molding