Robust Control of Multi-Line Re-Entrant Manufacturing Plants via Stochastic Continuum Models

稳健性(进化) 维数之咒 半导体器件制造 计算机科学 控制工程 生产线 数学优化 工厂(面向对象编程) 非线性系统 生产控制 控制理论(社会学) 工程类 控制(管理) 生产(经济) 人工智能 数学 薄脆饼 机械工程 生物化学 宏观经济学 量子力学 物理 经济 化学 程序设计语言 电气工程 基因
作者
Chunyang Zhang,Qing Gao,Michael Basin,Jinhu Lü,Hao Liu
出处
期刊:IEEE Transactions on Automation Science and Engineering [Institute of Electrical and Electronics Engineers]
卷期号:21 (4): 4923-4935 被引量:2
标识
DOI:10.1109/tase.2023.3305308
摘要

This paper investigates the robust intelligent control problem of multi-line re-entrant manufacturing plants. The control system is designed with a hierarchical architecture, where a nonlinear stochastic hyperbolic partial differential equation (PDE) is used to describe the system dynamics and a robust controller is designed to exponentially drive the manufacturing plants to a desired operation mode with steady feeding and production rates. The developed robust control scheme is shown to be practically implementable through convex optimization techniques. Numerical experiments are presented to demonstrate the feasibility and advantages of the proposed approach. Note to Practitioners —The motivation of this work originates from the need to develop an intelligent robust control strategy for a class of practical complex re-entrant manufacturing plants, for instance, the semiconductor wafer factory and the chemical production lines with numerous process procedures. Discrete-model-based algorithms have been extensively employed in this field due to their excellent convenience and great accuracy. However, when dealing with coupled multi-line re-entrant manufacturing plants with nonlinearities, traditional discrete-model-based methods lack rigorous theoretical analysis and, more importantly, suffer from the curse of dimensionality in many cases. To equip the re-entrant manufacturing plant with a desired operation mode that enjoys significant robustness against stochastic noises, we propose a continuum-model-based intelligent robust control strategy. The proposed method is practically useful in the sense that it can be conveniently applied to various industrial scenarios with re-entrant characteristics and the control design problem can be well solved via available convex optimization algorithms.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
Volcano发布了新的文献求助10
2秒前
3秒前
星辰大海应助拓小八采纳,获得10
4秒前
Tao发布了新的文献求助10
5秒前
5秒前
Tangviva1988发布了新的文献求助10
5秒前
阳光沛柔发布了新的文献求助10
6秒前
SYLH应助cyn0762采纳,获得30
7秒前
11秒前
打打应助Tine采纳,获得30
12秒前
研友_VZG7GZ应助EED采纳,获得10
13秒前
缥缈问柳应助wjw采纳,获得10
13秒前
DijiaXu应助朝朝采纳,获得10
15秒前
sanyecai完成签到,获得积分10
15秒前
李健的小迷弟应助高铭泽采纳,获得10
18秒前
Zsl121完成签到,获得积分10
19秒前
19秒前
爆米花应助肖肖采纳,获得10
20秒前
20秒前
冬至完成签到,获得积分10
21秒前
22秒前
shenzhou9完成签到,获得积分10
22秒前
量子星尘发布了新的文献求助10
22秒前
23秒前
lll完成签到,获得积分20
25秒前
欣喜豌豆完成签到,获得积分10
27秒前
彭于晏应助雨过天晴采纳,获得10
27秒前
李健的小迷弟应助唐_采纳,获得10
28秒前
云辞忧发布了新的文献求助10
28秒前
华仔应助Livrik采纳,获得10
28秒前
EED发布了新的文献求助10
29秒前
30秒前
31秒前
32秒前
赘婿应助hhhi采纳,获得10
32秒前
领导范儿应助康康采纳,获得10
33秒前
李健的小迷弟应助blue采纳,获得10
33秒前
35秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3988868
求助须知:如何正确求助?哪些是违规求助? 3531255
关于积分的说明 11253071
捐赠科研通 3269858
什么是DOI,文献DOI怎么找? 1804822
邀请新用户注册赠送积分活动 881994
科研通“疑难数据库(出版商)”最低求助积分说明 809035