Academic literature on the topic 'Process Control and Simulation'
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Journal articles on the topic "Process Control and Simulation"
Golten, J. W. "Process Control Simulation Package ‘PCS’." International Journal of Electrical Engineering Education 22, no. 3 (September 1985): 205–12. http://dx.doi.org/10.1177/002072098502200304.
Full textTyler, D. W., and A. K. Quibell. "Computer simulation in process control." Mathematics and Computers in Simulation 27, no. 2-3 (April 1985): 259–66. http://dx.doi.org/10.1016/0378-4754(85)90047-3.
Full textMATSUMURA, Takashi, and Jurgen LEOPOLD. "D18 Simulation of Drilling Process for Control of Burr Formation(Analytical advancement of machining process)." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2009.5 (2009): 489–94. http://dx.doi.org/10.1299/jsmelem.2009.5.489.
Full textPedersen, J. "Controlling Activated Sludge Process Using EFOR." Water Science and Technology 26, no. 3-4 (August 1, 1992): 783–90. http://dx.doi.org/10.2166/wst.1992.0459.
Full textGostev, Ivan M., and Pavel Е. Golosov. "SIMULATION MODEL OF PROCESS SPORADIC CONTROL." International Journal of Manufacturing Economics and Management 2, no. 1 (June 20, 2022): 16–22. http://dx.doi.org/10.54684/ijmem.2022.2.1.16.
Full textBui, R. T., and R. Ouellet. "Optimal Process Control Through Computer Simulation." SIMULATION 60, no. 3 (March 1993): 151–64. http://dx.doi.org/10.1177/003754979306000302.
Full textGarner, K. C., N. J. Peberdy, and C. N. Moreton. "Process and process control design using dynamic flowsheet simulation." Mining, Metallurgy & Exploration 3, no. 1 (February 1986): 41–45. http://dx.doi.org/10.1007/bf03402634.
Full text., M. Shaharurrizal B. M. W., Farrah D. Herman ., A. Arunagiri ., and Stella Morris . "Fuzzy Logic Simulation to Process Control Systems." Information Technology Journal 1, no. 3 (March 1, 2002): 272–79. http://dx.doi.org/10.3923/itj.2002.272.279.
Full textPonton, J. W., and R. McKinnel. "Nonlinear process simulation and control using transputers." IEE Proceedings D Control Theory and Applications 137, no. 4 (1990): 189. http://dx.doi.org/10.1049/ip-d.1990.0024.
Full textDavidson, J., and J. L. Houle. "Simulation of hierarchical process control computer systems." IFAC Proceedings Volumes 18, no. 1 (May 1985): 91–103. http://dx.doi.org/10.1016/b978-0-08-031664-2.50020-6.
Full textDissertations / Theses on the topic "Process Control and Simulation"
Sneesby, Martin G. "Simulation and control of reactive distillation." Thesis, Curtin University, 1998. http://hdl.handle.net/20.500.11937/2555.
Full textAlici, Semra. "Dynamic data reconciliation using process simulation software and model identification tools." Access restricted to users with UT Austin EID Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3025133.
Full textSpirito, Mario. "Simulation, control and optimization of asphalt drying process." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.
Find full textZhao, Jian 1963. "Simulation of boiler drum process dynamics and control." Thesis, McGill University, 1992. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=61104.
Full textThe control system contains two loops, a feedfoward loop using the steam flow and drum pressure signals as the input and a feedback loop using the deviation of the measured drum water level from its set point as an input. The feedback loop is an incremental PID controller with an adjustable proportional gain. The feedfoward loop is designed to directly actuate the control devices before the "swell" and "shrinkage" in the boiler water level occur. The feedforward controller output signal is summed along with the output of the PID controller to establish the set point for the control actuator. This scheme is effective because steam flow changes are immediately fed forward to change the final feedwater set point for the control actuator. In this way, feedwater flow tracks steam flow and any disturbances in the feedwater system will be arrested quickly.
It is shown that an incremental PID controller plus adapt feedfoward compensator can be successfully employed for the control of water level in such a plant.
Cameron, Ewan A. "Enhancement of process control using real-time simulation." Thesis, University of Edinburgh, 1989. http://hdl.handle.net/1842/10860.
Full textSneesby, Martin G. "Simulation and control of reactive distillation." Curtin University of Technology, School of Chemical Engineering, 1998. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=10629.
Full textselect the correct process for a given application. The optimal design must also consider economics and the relative values of products, reactants and energy. These issues were studied with respect to ETBE production for gasoline oxygenation.The complexity of hybrid reactive distillation not only presents design challenges but potentially makes the process more difficult to control. Dynamic simulations of ETBE and MTBE reactive distillation processes were used to explore some unusual dynamic phenomena and to elucidate the process non-linearity and bidirectionality of reactive distillation. The presence of multiple steady states for some reactive distillation columns has been documented previously but the analysis of this behaviour has been incomplete and somewhat flawed. It was shown that the distinction between molar inputs and physically realisable mass or volumetric inputs is crucial and that multiplicity could be present in one case and not in the other. Multiplicity that is only observed with molar inputs (relatively common) was termed pseudo-multiplicity. Pseudo-multiplicity has few implications for the operation and control of practical reactive distillation processes although most literature examples of multiple steady states fall into this category. Four distinct causes of output multiplicity were identified including one new cause, reaction hysteresis, which is only applicable to hybrid reactive distillation. It was shown, using dynamic simulations, that transitions between parallel steady states are possible for a range of physically realisable and practical disturbances. This contrasts with other work in the area, which examines only unrealisable events and control schemes.An extensive analysis of reactive distillation control was also undertaken with respect to ETBE and MTBE hybrid columns. Manual (open-loop) control was shown to be impractical due to ++
the need to sustain the operating conditions at close to the optimal values in order to produce acceptable process performance. One-point composition control was found to be relatively easy to implement and effective with either an energy-balance or a material-balance control scheme provided only one steady state was present. Where multiple steady states exist, there are restrictions on the feasible control structures due to unavoidable instability in the inventory controllers. For example, if multiple steady states exist for the one value of the reboiler duty, only the bottoms product draw rate can be used to control the reboiler sump level. Thus, a material-balance control structure that uses the reboiler duty to control the sump level cannot be implemented in practice. Two-point control was also investigated and found to effectively prevent transitions between parallel steady states. Although more complex and difficult to implement than one-point control, a two-point scheme could be used successfully to control both the product composition and the reactant conversion and this could be desirable in some cases.A reactive distillation pilot plant was designed and operated for ETBE synthesis from ethanol and a locally available refinery hydrocarbon stream. The design of the pilot plant was based on simulation studies and the objective of operating in the industrially significant ranges of product purity and isobutene conversion. A fully automatic control system was designed and installed on the pilot plant to permit precise control of the manipulated variables and the framework to implement a range of control structures and schemes.Keywords: reactive distillation; process simulation; process design; process control; dynamic simulation; multiplicity; bidirectionality; distillation control; inferential control; pilot plant design and operation.
Liu, Pi-Shien 1960. "Real-time process control and simulation for chemical mix facility." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276673.
Full textGodfrey, Simon. "Honeywell Experion System: Configuration, simulation and process control software interoperability." Thesis, Godfrey, Simon (2016) Honeywell Experion System: Configuration, simulation and process control software interoperability. Honours thesis, Murdoch University, 2016. https://researchrepository.murdoch.edu.au/id/eprint/35817/.
Full textVon, Raubenheimer Albert Ludwich. "Strategic supply chain management using simulation." Pretoria : [s.n.], 2005. http://upetd.up.ac.za/thesis/available/etd-12012005-092956/.
Full textCox, Steven. "Simulation and control of univariate and multivariate set-up dominant process." Thesis, Durham University, 2015. http://etheses.dur.ac.uk/11383/.
Full textBooks on the topic "Process Control and Simulation"
Process dynamics: Modeling, analysis, and simulation. Upper Saddle River, N.J: Prentice Hall PTR, 1998.
Find full textSimulation of industrial processes for control engineers. Oxford: Butterworth-Heinemann, 1999.
Find full textRamirez, W. Fred. Computational methods for process simulation. 2nd ed. Oxford: Butterworths, 1997.
Find full textComputational methods for process simulation. Boston: Butterworths, 1989.
Find full textProcess modeling, simulation, and control for chemical engineers. 2nd ed. New York: McGraw-Hill, 1990.
Find full textThomas, Brian G., James A. Yurko, and Lifeng Zhang, eds. Sensors, Sampling, and Simulation for Process Control. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118061800.
Full textG, Samper Katia, and Haghi Reza K, eds. Advanced process control & simulation for chemical engineers. Toronto: Apple Academic Press, 2013.
Find full textLuyben, William L. Process modelling, simulation and control for chemical engineers. Maidenhead: McGraw, 1990.
Find full textZhu, Yucai. Identification of multivariable industrial processes for simulation, diagnosis, and control. London: Springer-Verlag, 1993.
Find full textShinskey, F. Greg. Simulating process control loops using BASIC. Research Triangle Park, N.C: Instrument Society of America, 1989.
Find full textBook chapters on the topic "Process Control and Simulation"
Roffel, Brian, and Ben H. Betlem. "Process Simulation." In Advanced Practical Process Control, 33–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18258-7_2.
Full textBöhme, Berndt, Ralf Wieland, and Uwe Starke. "Knowledge Based Process Control." In Advances in Simulation, 419–22. New York, NY: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-6389-7_83.
Full textVogel, Ernest F. "Plantwide Process Control Simulation." In Practical Distillation Control, 86–95. New York, NY: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4757-0277-4_6.
Full textKatebi, Reza, Michael A. Johnson, and Jacqueline Wilkie. "Process Modelling and Simulation Methods." In Advances in Industrial Control, 1–37. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0423-0_1.
Full textKrasilshchikov, M. N., and V. I. Karlov. "Control of the Observation Process by Probability Criterion." In Advances in Simulation, 172–74. New York, NY: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-6389-7_35.
Full textChristofides, Panagiotis D., Antonios Amaou, Yiming Lou, and Amit Varsheny. "Multiscale Process Modeling and Simulation." In Control and Optimization of Multiscale Process Systems, 1–15. Boston: Birkhäuser Boston, 2008. http://dx.doi.org/10.1007/978-0-8176-4793-3_2.
Full textSantín, Ignacio, Carles Pedret, and Ramón Vilanova. "Process Modelling and Simulation Scenarios." In Control and Decision Strategies in Wastewater Treatment Plants for Operation Improvement, 5–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46367-4_2.
Full textWang, Jing, Jinglin Zhou, and Xiaolu Chen. "Simulation Platform for Fault Diagnosis." In Intelligent Control and Learning Systems, 45–58. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8044-1_4.
Full textProtalinsky, Oleg, Anna Khanova, and Ivan Shcherbatov. "Simulation of Power Assets Management Process." In Recent Research in Control Engineering and Decision Making, 488–501. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12072-6_40.
Full textZabiri, Haslinda, Faezah Isa, Tahir Sultan, Muhammad Afif Asyraf Affian, Anmol Fatima, and Abdulhalim Shah Maulud. "Improvements in Process Design, Simulation, and Control." In Sustainable Carbon Capture, 267–89. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003162780-10.
Full textConference papers on the topic "Process Control and Simulation"
Marsh, Dana G., and Paul H. Stiebitz. "Electrophotographic Process Control Simulation." In 1988 Los Angeles Symposium--O-E/LASE '88, edited by Ronald J. Clouthier, Gary K. Starkweather, Andrew G. Tescher, and Thomas L. Vogelsong. SPIE, 1988. http://dx.doi.org/10.1117/12.944695.
Full textGazdos, Frantisek, and Jiri Marholt. "Robust Process Control With Saturated Control Input." In 28th Conference on Modelling and Simulation. ECMS, 2014. http://dx.doi.org/10.7148/2014-0285.
Full textZhuang, Jiabin, Jian Tang, and Junfei Qiao. "Numerical Simulation of Municipal Solid Waste Incineration Process Based on Chemical Process Simulation Software." In 2021 40th Chinese Control Conference (CCC). IEEE, 2021. http://dx.doi.org/10.23919/ccc52363.2021.9550500.
Full textSkolnik, Petr, Lukas Hubka, Osvald Modrlak, and Tomas Nahlovsky. "Cogeneration units simulation models library." In 2013 International Conference on Process Control (PC). IEEE, 2013. http://dx.doi.org/10.1109/pc.2013.6581418.
Full textRangla, M. K. "Simulation of activated sludge process control strategies." In International Conference on Simulation (1998). IEE, 1998. http://dx.doi.org/10.1049/cp:19980630.
Full textChen, Tie-jun, Dan-dan Cui, Yan-he Shen, and Ke-hong Bi. "Methanol Synthesis Process Control and Simulation." In 2009 International Conference on Advanced Computer Control. IEEE, 2009. http://dx.doi.org/10.1109/icacc.2009.47.
Full textMolle, D. T. Dalle, and T. F. Edgar. "Qualitative Simulation for Process Modeling and Control." In 1989 American Control Conference. IEEE, 1989. http://dx.doi.org/10.23919/acc.1989.4790402.
Full textBunday, Benjamin D. "Noise fidelity in SEM simulation." In Metrology, Inspection, and Process Control for Microlithography XXXIV, edited by Ofer Adan and John C. Robinson. SPIE, 2020. http://dx.doi.org/10.1117/12.2559631.
Full textHubka, Lukas, and Petr Skolnik. "Steam turbine and steam reheating simulation model." In 2013 International Conference on Process Control (PC). IEEE, 2013. http://dx.doi.org/10.1109/pc.2013.6581378.
Full textMantilla, Cesar A., and Sanjay Srinivasan. "Feedback control of polymer flooding process considering geologic uncertainty." In SPE Reservoir Simulation Symposium. Society of Petroleum Engineers, 2011. http://dx.doi.org/10.2118/141962-ms.
Full textReports on the topic "Process Control and Simulation"
Spence, P. A., L. I. Weingarten, K. Schroder, D. M. Tung, and D. A. Sheaffer. Process control of large-scale finite element simulation software. Office of Scientific and Technical Information (OSTI), February 1996. http://dx.doi.org/10.2172/205962.
Full textRaboin, P. J. ,. LLNL. Integration of adaptive process control with computational simulation for spin-forming. Office of Scientific and Technical Information (OSTI), March 1998. http://dx.doi.org/10.2172/657365.
Full textSvobodny, Thomas P. Mathematical Modeling, Simulation, and Control of Physical Processes. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada455803.
Full textQuinn, William. Driving Down HB-LED Costs. Implementation of Process Simulation Tools and Temperature Control Methods of High Yield MOCVD Growth. Office of Scientific and Technical Information (OSTI), April 2012. http://dx.doi.org/10.2172/1053618.
Full textBobashev, Georgiy, John Holloway, Eric Solano, and Boris Gutkin. A Control Theory Model of Smoking. RTI Press, June 2017. http://dx.doi.org/10.3768/rtipress.2017.op.0040.1706.
Full textKhvostina, Inesa, Serhiy Semerikov, Oleh Yatsiuk, Nadiia Daliak, Olha Romanko, and Ekaterina Shmeltser. Casual analysis of financial and operational risks of oil and gas companies in condition of emergent economy. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4120.
Full textPanek, J., and S. Johnson. Cryogenic process simulation. Office of Scientific and Technical Information (OSTI), January 1994. http://dx.doi.org/10.2172/10124508.
Full textOliynyk, Kateryna, and Matteo Ciantia. Application of a finite deformation multiplicative plasticity model with non-local hardening to the simulation of CPTu tests in a structured soil. University of Dundee, December 2021. http://dx.doi.org/10.20933/100001230.
Full textDiahyleva, Olena S., Igor V. Gritsuk, Olena Y. Kononova, and Alona Y. Yurzhenko. Computerized adaptive testing in educational electronic environment of maritime higher education institutions. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4448.
Full textAdams, Jesse. Process Control Data. Office of Scientific and Technical Information (OSTI), May 2022. http://dx.doi.org/10.2172/1866776.
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