Analysis of the effects of recycling on process control
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References
- Roy, P. & Roy, B.K. (2016). Fractional order PI control applied to level control in coupled two tank MIMO system witch experimental validation. Control Eng. Pract. 48, 119. DOI: 10.1016/j.conengprac.2016.01.002.
- Kadhim, R.A., Raheem, A.K.K.A. & Gitaffa, S.A.H. (2017). Implementing of liquid tank level control using arduino-labview interfaceing with ultrasonic sensor. Kufa J. Eng. 8, 29.
- Kittur, J. (2018). Enhancing the controller design skills in the course linear control systems. J. Eng. Educ. Transform. Special Issue. ISSN 2394-1707.
- Mendes, J., Osório, L. & Araújo, R. (2017). Self-Tuning PID Controllers in Pursuit of Plug and Play Capacity. Control Eng. Pract. 69, 73. DOI: 10.1016/j.conengprac.2017.09.006.
- Urrego, J.A.R. & Restrepo, N.L.P. (2016). Aplicación de Diseño, simulación, identificación de sistemas e implementación de controladores PID – DIGITROL. Rev. Politécnica. 12, 27. ISSN 2256-5353.
- Fernandes, J.P.S., Vidal, S.F.S., Marques, M.O., Souza, V.R.S. & Medeiros, L.A. (2019). Identification, control and tuning of non-interactive series tanks. Braz. J. Dev. 5. DOI: 10.34117/bjdv5n10-207.
- Prusty, S.B., Seshagiri, S., Pati, U.C. & Mahapatra, K.K. (2016). Sliding Mode Control of Coupled Tanks using Conditional Integrators. Indian Control Conference, Indian Institute of technology Hyderabad, (2016).
- Luz, G.R., Conceição, W.A.S., Jorge, Luiz, M. M., paraíso, P.R. & Andrade, C.M.G. (2010). Dynamic modeling and control of soybean meal drying in a direct rotary dryer. Food Bioprod. Process. 88. DOI: 10.1016/j.fbp.2010.01.008.
- Pan, H., Wong, H., Kapila, V. & Queiroz, M.S. (2005). Experimental validation of a non linear backstepping liquid level controller for a state coupled two tank system. Control Eng. Pract. 13, 27. DOI: 10.1016/j.conengprac.2003.12.019.
- Shah, D.H. & Patel, D.M. (2019). Design of sliding mode control for quadruple-tank MIMO process with time delay compensation. J. Process Control 76, 46. DOI: 10.1016/j.jprocont.2019.01.006.
- Ogunnaike, B.A. & Ray, W.H. Process Dynamics, Modeling, and Control. New York: Oxford University Press, 1994.
- Wang, J., Shin., P.C., Wu, Y. & Carroll, J.M. (2015). Comparative case studies of open source software peer review practices. Inf. Softw. Technol. 67, 1. DOI: 10.1016/j.infsof.2015.06.002.
- Verdejo, H. & Becker, C. (2020). The Erratic Implementation of Measuring, Monitoring and Control System (MMCS) in Chile: The crisis on smart meters. Energy Reports 6, 2140. DOI: 10.1016/j.egyr.2020.08.005.
- Alvaro, R.J., Maria, A.M. & David, F.B. (2018). Level control in system of tanks in interacting mode using Xcos software. Contemp. Eng. Sci. 11, 63. DOI: 10.12988/ces.2018.712206.
- Mankotia, A. & Shukla, A.K. (2021). IOT based manhole detection and monitoring system using Arduino. Mater. Today Process. 30. DOI: 10.1016/j.matpr.2021.12.264.
- Omar, H.M. (2018). Enhancing automatic control learning through Arduinobased projects. Eur. J. Eng. Educ. 43, DOI: 10.1080/03043797.2017.1390548.
- Machado, M.M., Carvalho, A.J., Santos, M.F. & Carvalho, J.R. (2018). Case Study: Level and Temperature Multivariable Control and Design via Arduino through Control Loop Decoupling. 19th International Carpathian Control Conference (ICCC).
- Veerasamy, V., Wahab, N.I.A., Ramachandran, R., Othman, M.L., Hizam, H., Kumar, J S. & Irudayaraj, A.X.R. Design of single- and multi-loop self-adaptive PID controller using heuristic based recurrent neural network for ALFC of hybrid power system. Expert Syst. Appl. 192, (2022).
- Briones, O., Alarcón, R., Rojas, J.A. & Sbarbaro, D. (2022). Tuning Generalized Predictive PI controllers for process control applications. ISA Trans. 119, 184. DOI: 10.1016/j.isatra.2021.02.040.
- Rodriguez, A., Plett, G.L. & Trimboli, M.S. (2018). Improved transfer functions modeling linearized lithium-ion battery-cell internal electrochemical variables. J. Energy Storage 20, 560. DOI: 10.1016/j.est.2018.06.015.
- Ogata, K. Engenharia de controle moderno. 4ª ed. Prentice-Hall Inc, 2003.
- Ziegler, J.G. & Nichols, N.B. Optimum Settings For Automatic Controllers. Transactions of the A.S.M.E, 1942. 759–768.
- Kaistha, N. Liquid level control in a recycle loop. J. Process Control 104 (2021) 11. DOI: 10.1016/j.jprocont.2021.05.014.
- Grimholt, C., Skogestad, S. (2018). Optimal PI and PID control of first-order plus delay processes and evaluation of the original and improved SIMC rules. J. Process Control 70, 36. DOI: 10.1016/j.jprocont.2018.06.011.
- Neto, A.F.S., Gomes, F.J. Modeling and Control of a Tito Process System Industrial through the OPC Protocol and FOSS Scilab. Brazilian Soc. Appl. Comput. Mathematics. 4, (2016).
- Handbook of Chemistry and Physics, CRC press, Ed. 64.
- Rajamand, S., (2021). Feedback-based control structure for frequency/voltage regulation using the state of electrical vehicle charge station and point estimation method. Sustain. Energy Technol. Assess. 51, 101922. DOI:10.1016/j.seta.2021.101922.
- Meng, X., Yu, H., Zhang, J., Xu, T., Wu, H. & Yan, K. (2021). Disturbance Observer-Based Feedback Linearization Control for a Quadruple-Tank Liquid Level System. ISA Trans 27, DOI: 10.1016/j.isatra.2021.04.021.
- Lawrence, N.P., Forbes, M.G., Loewen, P.D., McClement, D.G., Backström, J.U. & Gopaluni, R.B. (2022). Deep reinforcement learning with shallow controllers: An experimental application to PID tuning. Control Eng. Pract. 121, 105046. DOI: 10.1016/j.conengprac.2021.105046.
- Badu, N.R. & Saikia, L.C. (2022). Optimal location of accurate HVDC and energy storage devices in a deregulated AGC integrated with PWTS considering HPA-ISE as performance index. Eng. Sci. Tech. Inter. J. 33, 101072. DOI: 10.1016/j.jestch.2021.10.004.
- Bui, P.D.H. & You, S.S. (2022). Dynamics modeling and motion control for high-speed underwater vehicles using H-infinity synthesis with anti-windup compensator. J. Ocean Eng. Sci. 7, 84, DOI: 10.1016/j.joes.2021.07.002.
- Neto, A.M.S., Damo, T.P. & Coelho, A.A.R. Laboratory Essay with Online Back-calculation Anti-Windup Scheme for a MTG System. IFAC 45, (2012).
- Rubio, J.F.M., Cuéllar, B.M., Villa, M.V., Rodríguez, D.C. & Sename, Q. (2012). Control of delayed recycling systems with unstable first order forward loop. J. Process Control 22, 729. DOI: 10.1016/j.jprocont.2012.02.002.
- Samad, T.E. & Annaswamy, A.M. Control in the process industries, The impact of control technology, IEEE Control System Society, 21, (2011).
DOI: https://doi.org/10.2478/pjct-2023-0016 | Journal eISSN: 3072-0389
Language: English
Page range: 43 - 55
Published on: Jun 30, 2023
Published by: Sciendo
In partnership with: Paradigm Publishing Services
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© 2023 Cássio R.A. Silva, Victor C. Panuci, Monica R. Coutinho, Wagner A.S. Conceição, Cid M.G. Andrade, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 License.