感应加热CFRP温度控制算法  

Temperature Control Algorithm of Induction Heating CFRP

作　　者：许家忠[1] 赵辉 付天宇 张成东 XU Jia-zhong;ZHAO Hui;FU Tian-yu;ZHANG Cheng-dong(School of Automation,Harbin University of Science and Technology,Harbin 150080,China;School of Mechanical and Power Engineering,Harbin University of Science and Technology,Harbin 150080,China)

机构地区：[1]哈尔滨理工大学自动化学院,哈尔滨150080 [2]哈尔滨理工大学机械动力工程学院,哈尔滨150080

出　　处：《东北大学学报（自然科学版）》2022年第1期17-23,39,共8页Journal of Northeastern University(Natural Science)

基　　金：国家自然科学基金重点资助项目(91948202);黑龙江省应用技术研究与开发计划项目(GA20A401)。

摘　　要：为了解决在电磁感应加热碳纤维增强复合材料(carbon fiber reinforced polymer, CFRP)过程中,因系统抗干扰性弱、响应速度慢导致的CFRP成型质量差的问题,提出了一种基于改进粒子群优化的模糊PID(improved particle swarm optimization fuzzy PID,IPF-PID)控制算法,利用IPF对PID三个参数进行寻优和自调整.该算法结合PSO和Fuzzy-PID算法的优点,在避免了陷入局部最优的同时,保证控制精度和最佳的寻优性能.结果表明,该算法在增强控制器的自适应能力和减小调整时间方面效果显著.比传统的PID算法具有更小超调和稳态误差,更适用电磁感应加热CFRP温度控制系统.In order to solve the problem of poor molding quality of CFRP(carbon fiber reinforced polymer) caused by the system’s weak anti-interference, slow response speed during the induction heating of CFRP, a Fuzzy-PID algorithm based on improved particle swarm optimization(IPF-PID) was proposed. IPF was used to optimize and self-adjust the three parameters of PID. The algorithm combines the advantages of PSO and Fuzzy-PID algorithm, while avoiding falling into the local optimum, it ensures the control accuracy and the best optimization performance. The results show that the algorithm used to enhance the adaptive ability of the controller and reduce the adjustment time has a significant effect. Compared with the traditional PID algorithm, it has smaller overshoot and steady-state error, and it is more suitable for induction heating CFRP temperature control system.

关 键 词：感应加热 粒子群算法 模糊控制 碳纤维增强复合材料 辨识 

分 类 号：TP15[自动化与计算机技术—控制理论与控制工程]