项目名称： 浮力称重式粉状物料动态计量控制方法与应用研究

项目编号： No.61503226

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 自动化技术、计算机技术

项目作者： 杨新军

作者单位： 山东英才学院

项目金额： 21万元

中文摘要： 伴随国家战略性新兴产业、国防事业和民生计量等领域的国家重大工程项目的与日俱增，研发动态计量特别是高效高性能的粉状物料动态定量计量技术与装备极为迫切。粉状物料动态定量过程本质上是一类复杂的时变、不确定、多参数强耦合系统，现有应变式传感机理及控制方法难以实现高效高准确度动态计量，亟需新理论和方法予以突破。本项目将从探究动态计量高准确度与浮力称重传感工艺参数关系入手，由正交试验获取完备数据并进行灰关联分析；建立全系统动态定量计量模型；研究高精度、快响应动态定量容积积分卡尔曼滤波算法和MIMO自适应模糊控制策略，实现动态定量的精准控制。本项目属控制、微电子和材料加工等多学科交叉的前沿研究，不仅可推进动态定量计量控制理论的发展，而且有望对未来战略性新兴产业、民生计量等工程实践中粉状物料动态定量的设计与实施产生重要指导意义。

中文关键词： 浮力称重传感机理；动态称量；定量包装；灰关联分析；自适应模糊控制

英文摘要： With the growing of the areas such as the national strategic emerging industries, national defense and people's livelihood measurement etc, research on dynamic measurement especially efficient dynamic quantitative measurement of powder materials technology is very urgent. Dynamic measurement of powder process is a system which is complex, time-varying, uncertainty,multi-parameter strongly coupling. It is difficult to achieve high efficiency and high dynamic measurement accuracy for the popular strain sensors. So studying new theories and methods become a urgent need.The objective of our project is listed as follows. That is achieving complete data and conducting gray relational analysis, establishing quantitative dynamic Measurement models of the whole system, studying Kalman filter algorithm and adaptive fuzzy control strategy with high precision and high Dynamic response speed，achieving precise control of dynamic measurement. Which is becoming from exploring the dynamic measurement from the high accuracy and buoyancy weighing sensor parameters relations. The project belongs to frontier subject on control Theory, microelectronics and materials processing. Which can not only promote the development of dynamic quantitative measurement control theory but also guiding the designation and implementation of powder dynamic measurement in the areas of strategic emerging industries and the livelihood meaurement.

英文关键词： Buoyancy weighing sensing principle;Dynamic weighing;Quantitative Packing;Grey relational analysis;Adaptive fuzzy control