The Control Station training simulator enhances process control education

Cooper, Douglas J.; Rice, Robert C.; Arbogast, Jeffrey E.

doi:10.1109/acc.2003.1239099

Cited by 4 publications

(3 citation statements)

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“…For the feedback adjustor, k fp = 4.1 and k fi =1.3. Similarly, all of the lower‐level controllers of the process are PI‐controlled and turned by the method presented in Cooper et al…”

Section: Industrial Applicationmentioning

confidence: 99%

A data‐based optimal setting method for the coking flue gas denitration process

Wang

Liu

et al. 2018

Can J Chem Eng

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This study focuses on developing an optimal setting method for the first integrated coking flue gas desulphurization and denitration device in China. Maintaining the denitration process in a state of optimal economic efficiency has become an issue in production optimization control. This paper proposes a data-based two-stage nonparametric optimization method to optimize the operation of the denitration process. A principal component regression (PCR)-based multiple case fusion case-based reasoning (CBR) method is proposed to obtain the initial optimization set points. To overcome the steady-state modelling difficulties associated with the process, a local modelling method for the coking flue gas denitration process is developed using an improved just-in-time learning (JITL) algorithm. Taking the preset values obtained above as the initial value of an active set algorithm, the optimization problem can be solved in a timely and precise manner. The intelligent setting software has been developed for running industrial applications, and the results demonstrate the effectiveness of the proposed optimization approach.

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“…For the feedback adjustor, k fp = 4.1 and k fi =1.3. Similarly, all of the lower‐level controllers of the process are PI‐controlled and turned by the method presented in Cooper et al…”

Section: Industrial Applicationmentioning

confidence: 99%

A data‐based optimal setting method for the coking flue gas denitration process

Wang

Liu

et al. 2018

Can J Chem Eng

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“…A training simulator can provide students with a broad range of focused engineering scenarios in an efficient, safe and economical fashion [1]. For more than 7 years, we have been using Control Station as an instructional companion for three main reasons:…”

Section: Software and Systems Of The Coursementioning

confidence: 99%

Control engineering education at Monterrey Tech

Chávez

Cadena²,

Garza

2006

2006 American Control Conference

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Control engineering teaching at ITESM Campus Monterrey combines advanced didactic techniques, software systems and experimental equipment as instructional tools to achieve educational objectives. A course is designed with the purpose of helping the students to get deep knowledge of process control as well as team work and autonomous learning abilities. International guidelines for the course design are provided by ABET criteria and engineering education colloquies. The chosen tools are used under a principle of practical experience which is basic for engineering formation. Problem based learning and cooperative work provide a didactic framework for the course activities. Blackboard is the internet platform of the course. Matlab and Control Station allow the simulation of control systems. The experimental level process station gives the opportunity to implement and observe the real time performance of the different control strategies. A teaching learning system is proposed based on the synergy of instructors, students, academic contents and instructional tools.

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“…The program also allows for user control of a flow control valve so that, a change in valve position can be logged along with the resulting sensor reading. The data could be transferred to control station (Cooper, Doug, 2002) or a spreadsheet and a First Order Plus Dead Time model for the system can be obtained. Another feature of this program is its calibration element.…”

Section: Data Logging Programmentioning

confidence: 99%

Lego Based Computer Communication for Business and Learning

Marumo¹

2012

E-Learning-Organizational Infrastructure and Tools for Specific Areas

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The Control Station training simulator enhances process control education

Cited by 4 publications

References 0 publications

A data‐based optimal setting method for the coking flue gas denitration process

A data‐based optimal setting method for the coking flue gas denitration process

Control engineering education at Monterrey Tech

Lego Based Computer Communication for Business and Learning

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