简介概要

广义预测控制在监控AGC系统中的应用

来源期刊:中南大学学报(自然科学版)2012年第10期

论文作者:孙杰 张浩宇 李旭 张殿华

文章页码:3852 - 3856

关键词:广义预测控制;Smith预估器;监控AGC;模型失配;鲁棒性

Key words:generalized predictive control; Smith predictor; monitor AGC; model mismatch; robustness

摘    要:根据广义预测控制的预测模型、滚动优化和在线反馈校正等特征,设计一种基于广义预测控制器的监控AGC系统,并以某冷轧实验轧机为对象,对其控制性能进行仿真。研究结果表明:在模型匹配时,常规Smith预估器响应时间比广泛预测控制的少,稳态精度上比广义预测控制器的高;在轧件塑性系数或系统滞后时间计算不准确导致模型不匹配时,常规Smith预估器出现了系统超调或振荡现象,而广义预测控制器基本不受模型参数变化的影响。

Abstract: Using the characteristics of prediction model, rolling optimization and feedback correction, a monitor AGC system based on generalized predictive control was designed, and its control performance was simulated based on a cold rolling experimental mill. The results show that the Smith predictor achieves better control effects than generalized predictive controller on response time and steady precision with matching model; when model mismatching is caused by inaccuracy of plastic coefficient and pure delay time, the Smith predictor AGC system is overshot or even oscillation, but the control performance of the generalized predictive controller is not influenced by model parameter variations.

详情信息展示

广义预测控制在监控AGC系统中的应用

孙杰1,张浩宇1,李旭12,张殿华1

(1. 东北大学 轧制技术及连轧自动化国家重点实验室,辽宁 沈阳,110004;
2. 唐山钢铁集团有限责任公司 博士后科研工作站,河北 唐山,063016)

摘 要:根据广义预测控制的预测模型、滚动优化和在线反馈校正等特征,设计一种基于广义预测控制器的监控AGC系统,并以某冷轧实验轧机为对象,对其控制性能进行仿真。研究结果表明:在模型匹配时,常规Smith预估器响应时间比广泛预测控制的少,稳态精度上比广义预测控制器的高;在轧件塑性系数或系统滞后时间计算不准确导致模型不匹配时,常规Smith预估器出现了系统超调或振荡现象,而广义预测控制器基本不受模型参数变化的影响。

关键词:广义预测控制;Smith预估器;监控AGC;模型失配;鲁棒性

Generalized predictive control scheme for monitor AGC system

SUN Jie1, ZHANG Hao-yu1, LI Xu1, 2, ZHANG Dian-hua1

(1. State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110004, China;
2. Post-doctoral Scientific Research Station in Tangshan Iron and Steel Company, Tangshan 063016, China)

Abstract:Using the characteristics of prediction model, rolling optimization and feedback correction, a monitor AGC system based on generalized predictive control was designed, and its control performance was simulated based on a cold rolling experimental mill. The results show that the Smith predictor achieves better control effects than generalized predictive controller on response time and steady precision with matching model; when model mismatching is caused by inaccuracy of plastic coefficient and pure delay time, the Smith predictor AGC system is overshot or even oscillation, but the control performance of the generalized predictive controller is not influenced by model parameter variations.

Key words:generalized predictive control; Smith predictor; monitor AGC; model mismatch; robustness

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