Time and Event Driven Control Systems
时间和事件驱动控制系统
基本信息
- 批准号:RGPIN-2018-05124
- 负责人:
- 金额:$ 6.63万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2020
- 资助国家:加拿大
- 起止时间:2020-01-01 至 2021-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Traditional industrial facilities are monitored and controlled through industrial computers, in which time driven
operations are the norm. Digital control is the paradigm for such time driven systems. This digital control paradigm uses a fundamental assumption that all signals and
systems are sampled periodically in time. However, such an assumption is no longer valid in modern
industrial systems because of two reasons. First, integrating new communication and computing technologies generates a new class of systems called cyber-physical systems, in which network protocols and
real-time computer algorithms evolve by events, and are event driven. Second, most existing industrial facilities are still operated by human operators through alarm monitoring systems. Could industrial plants be fully automated, without the
intervention of operators at all? This would require incorporating alarm systems with control
systems; but alarm systems are event driven, violating the periodicity assumption.
The main research objective is to develop a
unified paradigm for analysis and design of hybrid time and event driven control systems. Such systems present tremendous challenges for control engineers and designers
because of the interactions among control, computation, and communication components, and inclusion of both
time and event driven mechanism. The proposed research program covers modeling, state estimation, and control design of time and event driven systems, integration of control and alarm systems, and studying the
properties of importance to both control and monitoring purposes, such as stability, control performance, communication and computing resource usage, fault detection accuracy,
and fault diagnosis capabilities.
The research problems are complex and challenging, requiring a great deal of innovation and originality to
uncover new solutions which are effective and efficient. Since event driven systems are in general time-varying and nonlinear, traditional frequency-domain based methods are not applicable. The
planned approach would be in general time-domain, using state-space models for continuous-time processes,
time based equations for time and event driven operations, Lyapunov based argument for closed-loop stability
analysis, and optimization tools for analysis and design solutions.
The proposed research program targets knowledge advance in the field of Control Systems which is relevant to
electrical, chemical, and mechanical Engineering. The novelty and expected significance include: It would address major challenges facing the control systems community, and hopefully impact both the theory and
practice; it would provide control engineers and practitioners with new tools for analysis and synthesis of
cyber-physical systems; finally, it would benefit Canadian industry by engaging in technology- and industry-relevant research student training.
传统的工业设施是通过工业计算机进行监测和控制的,在工业计算机中进行时间驱动
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Chen, Tongwen其他文献
On impedance matching and maximum power transfer
关于阻抗匹配和最大功率传输
- DOI:
10.1016/j.epsr.2010.01.015 - 发表时间:
2010-09-01 - 期刊:
- 影响因子:3.9
- 作者:
Li, Weixing;Chen, Tongwen;Xu, Wilsun - 通讯作者:
Xu, Wilsun
Optimal H2 filtering in networked control systems with multiple packet dropout
- DOI:
10.1109/tac.2007.902766 - 发表时间:
2007-08-01 - 期刊:
- 影响因子:6.8
- 作者:
Sahebsara, Mehrdad;Chen, Tongwen;Shah, Sirish L. - 通讯作者:
Shah, Sirish L.
Sounding off on industrial alarm systems
- DOI:
10.1109/mpot.2016.2582219 - 发表时间:
2018-03-01 - 期刊:
- 影响因子:0
- 作者:
Al-Dabbagh, Ahmad W.;Chen, Tongwen - 通讯作者:
Chen, Tongwen
Generalized moving variance filters for industrial alarm systems
- DOI:
10.1016/j.jprocont.2020.10.001 - 发表时间:
2020-11-01 - 期刊:
- 影响因子:4.2
- 作者:
Roohi, Mohammad Hossein;Chen, Tongwen - 通讯作者:
Chen, Tongwen
Event based agreement protocols for multi-agent networks
- DOI:
10.1016/j.automatica.2013.03.002 - 发表时间:
2013-07-01 - 期刊:
- 影响因子:6.4
- 作者:
Meng, Xiangyu;Chen, Tongwen - 通讯作者:
Chen, Tongwen
Chen, Tongwen的其他文献
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{{ truncateString('Chen, Tongwen', 18)}}的其他基金
Intelligent Monitoring and Control
智能监控
- 批准号:
CRC-2017-00317 - 财政年份:2022
- 资助金额:
$ 6.63万 - 项目类别:
Canada Research Chairs
Time and Event Driven Control Systems
时间和事件驱动控制系统
- 批准号:
RGPIN-2018-05124 - 财政年份:2022
- 资助金额:
$ 6.63万 - 项目类别:
Discovery Grants Program - Individual
Intelligent Monitoring And Control
智能监控
- 批准号:
CRC-2017-00317 - 财政年份:2021
- 资助金额:
$ 6.63万 - 项目类别:
Canada Research Chairs
Time and Event Driven Control Systems
时间和事件驱动控制系统
- 批准号:
RGPIN-2018-05124 - 财政年份:2021
- 资助金额:
$ 6.63万 - 项目类别:
Discovery Grants Program - Individual
Advanced solutions for efficient alarm monitoring and management of complex industrial facilities
用于复杂工业设施的高效报警监控和管理的先进解决方案
- 批准号:
494073-2016 - 财政年份:2020
- 资助金额:
$ 6.63万 - 项目类别:
Collaborative Research and Development Grants
Intelligent Monitoring and Control
智能监控
- 批准号:
CRC-2017-00317 - 财政年份:2020
- 资助金额:
$ 6.63万 - 项目类别:
Canada Research Chairs
Advanced solutions for efficient alarm monitoring and management of complex industrial facilities
用于复杂工业设施的高效报警监控和管理的先进解决方案
- 批准号:
494073-2016 - 财政年份:2019
- 资助金额:
$ 6.63万 - 项目类别:
Collaborative Research and Development Grants
Intelligent Monitoring and Control
智能监控
- 批准号:
CRC-2017-00317 - 财政年份:2019
- 资助金额:
$ 6.63万 - 项目类别:
Canada Research Chairs
Time and Event Driven Control Systems
时间和事件驱动控制系统
- 批准号:
RGPIN-2018-05124 - 财政年份:2019
- 资助金额:
$ 6.63万 - 项目类别:
Discovery Grants Program - Individual
Intelligent Monitoring and Control
智能监控
- 批准号:
CRC-2017-00317 - 财政年份:2018
- 资助金额:
$ 6.63万 - 项目类别:
Canada Research Chairs
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- 资助金额:
$ 6.63万 - 项目类别:
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