Application of DCS for Level Control in Nonlinear System using Optimization and Robust Algorithms


This proposed work deals with the real-time implementation of a PI level controller for a nonlinear interacting multi-input multi-output (MIMO) system using YOKOGAWA CENTUM CS 3000 DCS. Some intricate algorithms were chosen to tune the PI controller, presuming the effect of disturbances in a nonlinear interacting MIMO system. Three algorithms; a classical evolution algorithm, genetic algorithm (GA); a metaheuristic optimization algorithm, particle swarm optimization algorithm (PSO); and a robust algorithm, quantitative feedback theory (QFT) were chosen to tune thecontroller offline optimally. These controllers were then implemented in the process using distributed control systems (DCS), and the simulation results resulting from the three algorithms were compared with the experimental results. The impact of the tuning algorithms in the controller performance was studied in real-time.
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Aparna, V. Robust Controller for Nonlinear Interacting Multiple-Input and Multiple-Output System. Submitted (Unpublished results).

Aparna, V., Mohamed Hussain, K., Najumnissa Jamal, D., and Murshitha Shajahan, M. S. (2018). Implementation of Gain Scheduling Multiloop PI Controller Using Optimization Algorithms for a Dual Interacting Conical Tank Process. In Proceedings of the 2nd International Conference on Trends in Electronics and Informatics, ICOEI 2018, number Icoei, pages 598–603, Chennai, India. IEEE.

Asadipooya, H. and Safavi, A. A. (2016). Enhancement of model predictive control implementation on a DCS PCS7. In 2016 24th Iranian Conference on Electrical Engineering, ICEE 2016, pages 1272– 1277. IEEE.

Åström, K. J. and Hägglund, T. (2006). Advanced PID Control. ISA-The Instrumentation, Systems, and Automation Society.

Bailey, D. and Wright, E. (2003). Practical SCADA for Industry. Newnes-Elsevier Ltd.

Bergh, L. G. and Yianatos, J. B. (2011). The long way toward multivariate predictive control of flotation processes. Journal of Process Control, 21(2):226–234.

Bergh, L. G., Yianatos, J. B., Acuña, C. A., Pérez, H., and López, F. (1999). Supervisory control at salvador flotation columns. Minerals Engineering, 12(7):733–744.

Choi, J. Y. (2002). Evaluation of Ethernet based Control Network used in the Distributed Control System. In Proceedings on the 15th CISL Winter Workshop, number February, Seoul, Korea.

Desbiens, A., Hodouin, D., Najim, K., and Flament, F. (1994). Long-range predictive control of a rougher flotation unit. Minerals Engineering, 7(1):21–37.

El-Shafei, M. A., El-Hawwary, M. I., and Emara, H. M. (2017). Implementation of fractional-order PID controller in an industrial distributed control system. In 2017 14th International Multi-Conference on Systems, Signals and Devices, SSD 2017, volume 2017-Janua, pages 713–718.

Galloway, B. and Hancke, G. P. (2013). Introduction to Industrial Control Networks. IEEE Communications Surveys Tutorials, 15(2):860–880.

Gupta, R. A. and Chow, M. (2010). Networked Control System: Overview and Research Trends. IEEE Transactions on Industrial Electronics, 57(7):2527–2535.

Hodouin, D. (2011). Methods for automatic control, observation, and optimization in mineral processing plants. Journal of Process Control, 21(2):211–225.

Ion Marian, P. (2015). The Impact Of Increased Stability And Efficiency Through Automatic Control System For A Steam Power Plant. ACTA Universitatis Cibiniensis, 67(1):80–85.

Jämsä-Jounela, S.-L., Poikonen, R., Vatanski, N., and Rantala, A. (2003). Evaluation of control performance: methods, monitoring tool and applications in a flotation plant. Minerals Engineering, 16(11):1069–1074.

Jonas, R. K. and Craw, I. A. (2012). Paradigm shift in advanced control for mining. Separation Technologies for Minerals, Coal, and Earth Resources, pages 681–687.

Kämpjärvi, P. and Jämsä-Jounela, S.-L. (2003). Level control strategies for flotation cells. Minerals Engineering, 16(11):1061–1068.

Karray, F. and Silva, C. D. (2004). Soft Computing and Tools of Intelligent Systems Design: Theory and Applications. Pearson Addison Wesley.

Kiruthika, P., Navaseelan, P., and Senthilnathan, L. (2015). Automated control system design for Ultra Supercritical thermal power plant. In Proceedings - 2015 IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development, TIAR 2015, number Tiar, pages 182–187. IEEE.

Knapp, E. D. and Langill, J. T. (2015). Industrial Network Security: Securing Critical Infrastructure Networks for Smart Grid, SCADA, and Other Industrial Control Systems. Syngress-Elsevier Inc., 2nd editio edition.

Kolmare, G., Bhase, P., and Deshpande, A. (2017). Development of control system for an acid solution formation plant using DCS. In Proceeding - IEEE International Conference on Computing, Communication and Automation, ICCCA 2016, pages 977–981. IEEE.

Luo, X. and Song, Y. (2014). Adaptive predictive control: A data-driven closed-loop subspace identification approach. Abstract and Applied Analysis, 2014:11.

Mousavi, S. H., Noroozi, N., Safavi, A. A., and Ebadat, A. (2011). Modeling and control of nonlinear systems using novel fuzzy wavelet networks: The output adaptive control approach. Communications in Nonlinear Science and Numerical Simulation, 16(9):3798–3814.

Ogata, K. (1995). Discrete-Time Control Systems (2nd Ed.). Prentice-Hall, Inc., USA.

Osorio, D., Pérez-Correa, J. R., and Cipriano, A. (1999). Assessment of expert fuzzy controllers for conventional flotation plants. Minerals Engineering, 12(11):1327–1338.

Pérez-Correa, R., González, G., Casali, A., Cipriano, A., Barrera, R., and Zavala, E. (1998). Dynamic modelling and advanced multivariable control of conventional flotation circuits. Minerals Engineering, 11(4):333–346.

Rashid, M. M., Bhuiyan, M. M., Muzni, I. B., Mustafa, M. E. B., and Ferdaus, M. (2013). Design field controller for level, flow, temperature and networking using YOKOGAWA DCS. In IOP Conference Series: Materials Science and Engineering, volume 53.

Rojas, D. and Cipriano, A. (2011). Model based predictive control of a rougher flotation circuit considering grade estimation in intermediate cells. Dyna, 78:29–37.

Runceanu, A. and Popescu, M. (2010). EvalTool for Evaluate the Partitioning Scheme of Distributed Databases. Elleithy K., Sobh T., Iskander M., Kapila V., Karim M., Mahmood A. (eds) Technological Developments in Networking, Education and Automation. Springer, Dordrecht, pages 627–632.

Sbárbaro, D. and Villar, R. D. (2010). Introduction. In Sbárbaro, D. and Villar, R. D., editors, Advanced Control and Supervision of Mineral Processing Plants, chapter 1, pages 1–14. Springer-Verlag London, 1 edition.

Shean, B. J. and Cilliers, J. J. (2011). A review of froth flotation control. International Journal of Mineral Processing, 100(3):57–71.

Sinopoli, B., Sharp, C., Schenato, L., Schaffert, S., and Sastry, S. S. (2003). Distributed control applications within sensor networks. In Proceedings of the IEEE, volume 91, pages 1235–1245.

Suichies, M., Leroux, D., Dechert, C., and Trusiak, A. (2000). An implementation of generalized predictive control in a flotation plant. Control Engineering Practice, 8(3):319–325.

Sukalkar, M. P. (2016). Automation of tar separation plant. In International Conference on Energy Systems and Applications, ICESA 2015, number Icesa, pages 511–516. IEEE.

Thwaites, P. (2007). Process Control in metallurgical plants–From an Xstrata1 perspective. Annual Reviews in Control, 31(2):221–239.

Vilanova, R. and Visioli, A. (2012). PID Control in the Third Millennium: Lessons Learned and New Approaches. Springer-Verlag London Limited 2012, London, UK.

Wu, J., Meng, Q., Xing, B., and Wang, S. (2008). The Application of DCS to Waste Heat Power Generation of Cement Factory. In 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, volume 1, pages 822–826.

YOKOGAWA. CS1000/3000 Engineering Course Operation, Engineering Textbook. Enterprise Technology Solutions, te33q6c40- edition.

YOKOGAWA India Ltd. (2009). CS3000 Fundamental Training Manual, volume 105. Textbook and Educational Aids, India, 1st edition.

Zhang, P. (2010). Advanced Industrial Control Technology. Elsevier Science.
Venkataraman, A. (2020). Application of DCS for Level Control in Nonlinear System using Optimization and Robust Algorithms. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 9(1), 29–50.


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