摘要
针对过程工业对气动调节阀的控制精度与稳定性有较高要求,而常规PID控制策略自适应性与实时性差,难以取得较好的控制效果的问题,根据GM(1,1)模型灰色作用量具有的动态特征来改进灰色预测模型,结合改进灰色预测控制与模糊PID控制的优点,提出了改进灰色预测模糊PID控制策略.仿真结果表明:改进控制策略明显优于常规PID、模糊PID、灰色预测模糊PID控制策略,使系统响应速度加快,超调量减小,且适用于不同的阀门定位系统.
For high demand to the control precision and stability of the pneumatic control valve in the process industry,with poor self-adaptability and real-time performance,the traditional PID control strategy is hard to achieve good control effect. The grey action based on the GM(1,1) have dynamic characteristics. Combining with the advantages of improved grey predictive control and fuzzy PID control,which put forward the improved grey prediction fuzzy PID control strategy.The simulation results show that this strategy possess better control performance compared with the traditional PID,fuzzy PID,grey prediction fuzzy PID control strategy,which response velocity improved and overshoot is decreased for applying to different valve positioning system.
作者
梁秀霞
牛菁洋
Liang Xiuxia Niu Jingyang(College of Control Science and Engineering, Hebei University of Technology, Tianj in 300130,China)
出处
《中南民族大学学报(自然科学版)》
CAS
北大核心
2017年第1期87-91,共5页
Journal of South-Central University for Nationalities:Natural Science Edition
基金
河北省教育厅研究项目(zd2016071)