基于预测函数控制算法的动态配料系统应用研究  

Application research of dynamic batching system based on predictive function control algorithm

作　　者：杜亚江[1] 欧志新[1] 

机构地区：[1]兰州交通大学机电技术研究所,甘肃兰州730070

出　　处：《计算机工程与设计》2010年第11期2585-2587,2658,共4页Computer Engineering and Design

基　　金：甘肃省科技重大专项计划基金项目(0702GKDA018)

摘　　要：通过分析混凝土搅拌站动态配料系统的控制过程,为提高系统的效率与配料精度和速度,依据动态配料称重系统和定量控制相结合的思想,在系统动态称重配料过程中引入预测函数控制算法(PFC)。MATLAB仿真结果表明,预测函数控制类似对操作员经验的模拟,在模型匹配和模型失配时,系统性能良好,稳定后能满意运行,表现出鲁棒性强、响应快、超调量小的特点,便于在工业控制领域推广应用。Through an analysis of control process for concrete batching mixing plant dynamic ingredient system,the precision and rate of system batching and the efficiency of system is improved.Based on the idea of dynamic batching weight system and quantitative control,predictive function control algorithm（PFC） is introduced into the system of dynamic ingredient process with weighing.Simulated results based on Matlab prove that Predictive function control is a simulated experience of the operator and shows good performance when predictive model matches and satisfactory results when model mismatches,represents the response is quickly,better robustness and small overshoot,thus would make it easy for industrial application.

关 键 词：预测控制 预测函数控制 算法 动态配料系统 仿真 

分 类 号：TP273.5[自动化与计算机技术—检测技术与自动化装置]