摘要
针对硫化过程中因模糊性与不确定性导致的塑胶产品成形过程难以控制、产品质量稳定性差的问题.提出一种智能融合控制策略.总结了复杂硫化过程中的控制难点,探讨了硫化过程的控制论特性,研究对不确定性复杂过程的控制策略,提出智能融合控制策略,基于仿人智能构造了控制算法.工程实现效果显示该策略的鲁棒性强、控制精度高.研究结果表明:智能融合控制策略对不确定性复杂硫化过程实施控制是可行与有效的.
Aiming at the puzzle that the shaping process of plastic & rubber products is difficult to control resulted from fuzzification and uncertainty in the process of vulcanization and poor in stability of product quality,the paper proposed a sort of intelligence based control strategy based on human simulated intelligent controller(HSIC.It summed up the control puzzle in the process of complex vulcanization,explored the cybernetics characteristic of vulcanizing process,researched on control strategy of complex process with uncertainty,proposed a sort of intelligence based control strategy,and constructed the control algorithm based on HSIC.It made the engineering realization in control system,and the control effect demonstrated that it could be stronger in robustness,and higher in control precision compared with PID controller.The research result shows that it is feasible and effective to the proposed strategy for complex vulcanizing process with uncertainty.
出处
《辽宁工程技术大学学报(自然科学版)》
CAS
北大核心
2013年第8期1145-1148,共4页
Journal of Liaoning Technical University (Natural Science)
基金
重庆市教委科学技术研究基金资助项目(KJ110805)
关键词
硫化过程
不确定性
等效硫化
仿人智能
智能融合
控制策略
鲁棒性
控制品质
vulcanizing process
uncertainty
equivalent vulcanizing
human simulated intelligence
intelligence fusion
control strategy
robustness
control quality