权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Study on Optimal Control of Dam Gate Openings by Self-Tuninfg Control Theory

自整定控制理论对坝门开度优化控制的研究

基本信息

批准号：
62550377
负责人：
UEDA Toshihiko
金额：
$ 1.09万
依托单位：
Kyushu University
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1987
资助国家：
日本
起止时间：
1987 至 1988
项目状态：
已结题

项目摘要

The intended purposes of the research are to investigate the use of a self-tuning controller to real-time control of weir gates' openings during flood conditions and to study the applicability of time series models and filtering technique to the real-time forecasting of water levels in tidal rivers. The approach adopted for the real-time control of weir gates' openings uses the self-tuning controller (STC) of Clarke and Gawthrop. In this report, STC derived for the system (the control of weir gates' openings) described by an ARMAX model consists of an on-line recursive system identification algorithm within a Kalman filter framework and a feedback control law whose parameters depend on the corrently estimated system model. It is first applied to a synthetically generated data to illustrate the characteristics of the use of STC to the control of weir gates' openings. Its application to control the weir gates at Onga River is then presented. using data of the actual operation of the weir gates during periods of high inflows, the performance of STC is compared with that of the existing control strategy.Techniques for the modelling and prediction of water levels when flood passes through the tidal reach of a river during typhoon periods are discussed. Two simple time series models, a periodic function model and an ARMAX model, are used to describe the water-level variations at different locations in the tidal reach. The Kalman filter is used to automatically update the estimates of model coefficients or make forecasts recursively, based on the latest information. These techniques are applied to the problem of predicting the water levels in the tidal reach of the Sendai River, Kyushu, Japan.

本研究的目的是研究利用自整定控制器在洪水条件下实时控制堰门开度，并研究时间序列模型和滤波技术在潮汐河流水位实时预测中的适用性。堰门开度实时控制采用的方法是采用Clarke和Gawthrop的自整定控制器(STC)。在本报告中，由 ARMAX 模型描述的系统（堰门开口控制）导出的 STC 由卡尔曼滤波器框架内的在线递归系统识别算法和反馈控制律（其参数取决于当前估计的系统模型）组成。首先将其应用于综合生成的数据来说明使用STC控制堰门开度的特点。然后介绍了其在远贺河堰门控制中的应用。利用高流量期间堰门的实际运行数据，将STC的性能与现有控制策略的性能进行比较。讨论了台风期间洪水经过河流潮汐河段时的水位建模和预测技术。两个简单的时间序列模型，即周期函数模型和ARMAX模型，用于描述潮汐河段不同位置的水位变化。卡尔曼滤波器用于根据最新信息自动更新模型系数的估计或递归地进行预测。这些技术应用于预测日本九州仙台河潮汐河段的水位问题。