A Distributed Automation Framework for Plant-Wide Control, Optimisation, Scheduling and Planning

Havlena, Vladimı́r; Lu, Joseph

doi:10.3182/20050703-6-cz-1902.01462

Cited by 13 publications

(6 citation statements)

References 68 publications

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“…A layered protection framework for integrated process safety. From (Honeywell, 2005) See Horn et al (2005) for a recent application infrastructure development, Uniformance Real Time (URT), that addresses several such issues and Havlena and Lu (2005) for examples of how the development and deployment of advanced applications can benefit from such infrastructure.…”

Section: 4mentioning

confidence: 99%

Session 1.1: Applications of State Estimation and Monitoring

2006

IFAC Proceedings Volumes

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New developments in information technologies are radically transforming process automation. Their impact and benefit derive both from these technologies individually and from their convergence in new system architecture concepts. This paper reviews how process automation system architectures have evolved and discusses future trends. We draw an analogy between the synergistic new technologies being developed today and the technology landscape of the early 1970s-characterized by the nearsimultaneous appearance of microprocessors, communication networks, CRT displaysthat resulted in the first DCS system (the Honeywell TDC2000). Emerging technologies highlighted include wireless, embedded devices, service-oriented architecture, and application infrastructures.

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Section: 4mentioning

confidence: 99%

Session 1.1: Applications of State Estimation and Monitoring

2006

IFAC Proceedings Volumes

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“…In the market environment, the growing incentive to improve product quality and production efficiency and reduce cost requires the optimal control of the production indices of the entire production line (Tosukhowong et al 2004;Havlena and Lu 2005). A hierarchical fab-wide framework of process control and monitoring for semiconductor manufacturing was proposed; this framework consists of the feedback control of equipment, run-to-run control, islands of control, and fab-wide control (Qin et al 2006).…”

Section: Introductionmentioning

confidence: 99%

An intelligent factory-wide optimal operation system for continuous production process

Ding

Chai

Wang

et al. 2015

Enterprise Information Systems

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In this study, a novel intelligent factory-wide operation system for a continuous production process is designed to optimise the entire production process, which consists of multiple units; furthermore, this system is developed using process operational data to avoid the complexity of mathematical modelling of the continuous production process. The data-driven approach aims to specify the structure of the optimal operation system; in particular, the operational data of the process are used to formulate each part of the system. In this context, the domain knowledge of process engineers is utilised, and a closed-loop dynamic optimisation strategy, which combines feedback, performance prediction, feedforward, and dynamic tuning schemes into a framework, is employed. The effectiveness of the proposed system has been verified using industrial experimental results. ARTICLE HISTORY

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“…significantly in the case of plant model mismatch. This technique is similar but not identical to the funnels used by Honeywell in RMPC (Qin and Badgwell, 2003;Havlena and Lu, 2005;Havlena and Findejs, 2005). Compared to classical process control, our use of the soft constraints has some similarities to PID control with dead zones (Shinskey, 1988).…”

Section: Introductionmentioning

confidence: 99%