Design of precise control systems of industrial plants
DOI:
https://doi.org/10.15587/1729-4061.2017.98941Keywords:
precise automated control system, reactor, vitamin B6, nonlinear mathematical modelAbstract
The research is conducted due to the need to modernize automated control systems of continuous industrial processes, improve their accuracy and quality. The approach to the design of precise control system is developed. The approach is based on a set of models. Based on the known analytical relationships, the mathematical model of the dynamics of a nonlinear control object is developed. Its feature is a full accounting of the kinetics and thermodynamics of the first-order chemical reaction. The model for direct determination of the hydraulic friction coefficient, based on the approximation of the Colebrook-White nomogram is developed. The model of the valve hydrodynamics, depending on the opening rate and flow velocity is developed. The models of automation hardware, considering characteristics, errors and dynamics are developed.
The optimal multivariable controller on the basis of the theory of analytical design of controllers is designed. The proportional - integral action of the controller is formed by the extension of the object model. A full measurement of the object states made it possible to abandon the use of a state observer.
The precise automated control system of the vitamin B6 synthesis reactor is developed. The transients resulting from the automated control system modeling demonstrate deviations of the controlled plant parameters from the nominal value: concentration – no more than 5 %, temperature – no more than 2.5 %, and level – within 2 % under significant disturbances in feedstock consumption rates at the reactor input (20–30 %). Due to small deviations of transients under the action of disturbances, the proposed precise automated control system ensures the high quality of the product and the process safety in the reactor. The developed approach is recommended for use in the design of precise control systems, and the designed precise automated control system of the vitamin B6 production reactor – in the pharmaceutical industry.
References
- Stopakevich, A. A., Stopakevich, A. A. (2016). Design of robust controllers for plants with large dead time. Eastern-European Journal of Enterprise Technologies, 1 (2 (79)), 48–56. doi: 10.15587/1729-4061.2016.59107
- Rutkovskii, V., Glumov, V., Suhanov, V. (2011). Pretsizionnoe upravlenie nestatsionarnymi letatelnymi apparatami po uglu krena. Problemy upravlenia, 5, 82–87.
- Palamar, M., Pasternak, Yu., Palamar, A. (2014). Doslidzhennia dynamichnyh pohibok sistemy pretsisijnogo keruvannia antenoyu z asinhronnym elektroprivodom. Visnyk ternopolskogo natsionalnogo tehnichnogo universitetu, 76 (7), 164–173.
- Zhu, W.-H., Lamarche, T., Dupuis, E., Jameux, D., Barnard, P., Liu, G. (2013). Precision Control of Modular Robot Manipulators: The VDC Approach With Embedded FPGA. IEEE Transactions on Robotics, 29 (5), 1162–1179. doi: 10.1109/tro.2013.2265631
- Lei, L., Yi, Y. (2015). Modeling and precision control of systems with hysteresis. UK, Oxford: Butterworth-Heinemann, 178.
- Seborg, D. E., Edgar, T. F., Mellichamp, D. A., Doyle, F. J. (2011). Process dynamics and control. USA, NJ, Holokn: John Willy and sons, 514.
- Prakash, J., Srinivasan, K. (2009). Design of nonlinear PID controller and nonlinear model predictive controller for a continuous stirred tank reactor. ISA Transactions, 48 (3), 273–282. doi: 10.1016/j.isatra.2009.02.001
- Shyamalagowri, M., Rajeswari, R. (2013). Modeling and simulation of nonlinear process control reactor – continuous stirred tank reactor. International Journal of Advances in Engineering & Technology, 6 (4), 1813–1818.
- Man, H., Shao, C. (2012). Nonlinear predictive adaptive controller for CSTR process. Journal of Computational Information Systems, 8 (22), 9473–9479.
- Shrivastava, P. (2012). Modeling and control of CSTR using model based neural network predictive control. International Journal of Computer Science & Information Security, 10 (7), 38.
- Suja Malar, R. M., Thyagarajan, T. (2009). Modelling of continuous stirred tank reactor using artificial intelligence techniques. International Journal of Simulation Modelling, 8 (3), 145–155. doi: 10.2507/ijsimm08(3)2.128
- Patrascioiu, C., Koester, M., Fidlin, A. (2013). Nonlinear dynamics of a hydraulic pressure control valve. 11th International Conference on Vibration Problems. Lisbon, Portugal, 129–135.
- Patrascioiu, C., Panaitescu, C., Paraschiv, N. (2009). Control valves – modeling and simulation. CONTROL'09 5th WSEAS International Conference on Dynamical Systems and Control. La Laguna, Spain, 63–68.
- Korotchenkova, N., Samarenko, V. (2006). Vitaminy geterotsiklicheskogo rjada. Strojenie, svojstva, sintez, himicheskaya tehnologia. Sankt-Peterburg: SPHFA, 80.
- Obnovlenskiy, P., Musiakov, L., Cheltsov, A. (1978). Sistemy zaschity potentsialno opasnyh protsessov himicheskoy tehnologii. Leningrad: Himia, 257.
- Remizova, О., Rudakova, I., Syrikvashin, V., Fokin, A. (2014). Diagnostika potentsialno opasnyh sostijanij pri upravlenii tehnologicheskimi protsessami. Izvestija Sankt-Peterburgskogo gosudarstvennogo tehnologicheskogo instituta, 25, 88–94.
- Kariakin, N. (2003). Osnovy himicheskoj termodinamiki. Мoscow: Akademia, 463.
- Rennels, D. C., Hudson, H. M. (2012). Pipe Flow. Hoboken, NJ: John Wiley & Sons, Inc., 289. doi: 10.1002/9781118275276
- Kaziner, Yu., Slobodkin, M. (1977). Armatura system avtomaticheskogo upravlenia. Мoscow: Mashinostrojenie, 136.
- Liptak, B. G. (2006). Instrument Engineers’ Handbook: Process control and optimization. USA, FL, Boca Raton: CRC Press, 2304.
- Stopakevych, A. (2015). Robust control system design of crude oil atmospheric distillation column. Eastern-European Journal of Enterprise Technologies, 5 (2 (77)), 49–57. doi: 10.15587/1729-4061.2015.50964
- Stopakevych, A. (2013). Sistemnij analiz i teorija slozhnyh system upravlenija. Odessa: Astroprint, 352.
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