摘要
针对矿浆管道输送流速控制的大时滞、建模困难等问题,提出分段变增量的仿人智能多模态控制新算法.将完整矿浆批量输送实际过程划分成多段特征模态,采用不同的控制增量算法以推理确定控制模态.基于新研制的多泵站管道输送平台,给出了系统结构框图与算法模块设计,采用两种矿浆管道批量输送流速运行方式,实现了满意的实时控制,验证了控制系统结构与算法的可行性和有效性.
For the characteristics of flow velocity control of mineral slurry pipeline,such as large delay,difficulty in modeling and etc.,a humanoid intellegent multi-modality control algorithm of segmental variable increment is presented.The whole practical process of mineral slurry delivery can be devided into multi-stage characteristic modes,and different control increment algorithm can be adopted,so that the control mode can be decided.Based on the new developed pipeline delivery platform of multi-pump station,the control block diagram and algorithm module design of delivery flow velocity are given.By adopting the mode of two types of flow velocity operating method,the real-time control performances are satisfied.The results show the feasibility and effectiveness of control structure and algorithm.
出处
《控制与决策》
EI
CSCD
北大核心
2012年第2期295-298,303,共5页
Control and Decision
基金
十一五国家支撑计划项目(2006BAB02A12)
关键词
矿浆管道输送
多泵站输送平台
输送流速
仿人智能控制
mineral slurry pipeline transportation
multi-pump transportation platform
flow velocity
humanoid intelligent control
