Abstract
In the current work, a flow control tool with classic and advanced control setting functions has been developed for the laboratory bench in the UTS automation classroom. The focus is to strengthen the construction of process control strategies in the academic field for the professional community of students: the electromechanical engineering of the Technological Units of Santander. The advanced flow control system consists of a physical structure (Interconnected Tanks), a hydraulic system, an electrical and electronic control system. The main objective was to implement a flow control strategy using classical regulatory technique and advanced H2 technique on the existing Allen Bradley control system into a pilot plant. The methodology was to configure the hardware and software of the plant, emulate the plant with simulation tools, identify the dynamics of the process, implement the control strategies in the Allend Bradlley PAC simulator. The control strategies were: PID and H2 controllers, with automatic tuning tools and calculation of H2 optimization parameters. The control strategies were: PID and H2 controllers., with automatic tuning tools and calculation of H2 optimization parameters. The results showed good behavior for the follow-up of the flow variable with or without a set of perturbance signals. Finally, a model of the plant, a system for the supervision and control of the process, the programmed controllers, the data-based process models, the tuning parameters for the controllers with classical and advanced techniques are products in this work.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Portnoy, I.D., et al.: Tuning equations for PID controllers using minimization of error and of controller signal variance as the objective function. Inf. Tecnol. 30(1), 49–62 (2019). https://doi.org/10.4067/S0718-07642019000100049
Rodríguez, C.L.S., Pedrozo, R.M.: Aplicación de un Sistema Robusto al Control de Posición de un Cilindro Neumático, expuesto a perturbaciones. INGE@UAN - TENDENCIAS EN LA INGENIERÍA, 2(3), 3 (2011). Consultado: ago. 03, 2021. [En línea]. Disponible en: http://revistas.uan.edu.co/index.php/ingeuan/article/view/320
Amini, S., Golpira, H., Bevrani, H.: Robust H2 and H∞ controller design for DC position motor control under uncertainties. In: 2019 6th International Conference on Control, Instrumentation and Automation (ICCIA), October 2019, pp. 1–6. https://doi.org/10.1109/ICCIA49288.2019.9030972
Van Pham, T., Hoa Nguyen, D., Banjerdpongchai, D.: Design of robust hierarchical control for homogeneous multi-agent systems with parametric uncertainty and exogenous disturbance. In: 2019 12th Asian Control Conference (ASCC), June 2019, pp. 937–942 (2019)
Degtyarev, G.L., Garkushenko, V.I., Fayzutdinov, R.N., Gubaydullin, Sh.I., Spiridonov, I.O.: Robust mixed H2/H_infinity control synthesis for electrooptical device line-of-sight stabilization system. In: 2019 12th International Conference on Developments in eSystems Engineering (DeSE), October 2019, pp. 73–76 (2019). https://doi.org/10.1109/DeSE.2019.00023
Cao, J., Wan, Y., Hua, H., Qin, Y.: Delay analysis for end-to-end synchronous communication in monitoring systems. Sensors (Basel) 18(11), 3615 (2018). https://doi.org/10.3390/s18113615
Matute Clavier, A., Bernal Suárez, W.F.: Técnicas de lógica difusa en ingeniería de control | Ciencia, Innovación y Tecnología, July 2018, Consultado: ago. 03, 2021. [En línea]. Disponible en: https://www.jdc.edu.co/revistas/index.php/rciyt/article/view/81
Chen, X., Dong, C.: Design of a H2 robust controller for a small UAV based on LMI method. In: 2020 6th International Conference on Control, Automation and Robotics (ICCAR), abr. 2020, pp. 459–462 (2020). https://doi.org/10.1109/ICCAR49639.2020.9108015
Ahn, C.K., Shi, P., Li, H.: H2 output-feedback control with finite multiple measurement information. IEEE Trans. Automat. Cont. 63(8), 2588–2595 (2018). https://doi.org/10.1109/TAC.2017.2768165
Zhang, S., Li, Z., Wang, X.: Robust H2 consensus for multi-agent systems with parametric uncertainties. IEEE Trans. Circuits Syst. II: Exp. Briefs 68(7), 2473–2477 (2021). https://doi.org/10.1109/TCSII.2021.3051662
Pico Guerrero, R.J., Prado Fiallos, G.J.: Diseño y simulación de controladores robustos aplicados a un robot móvil y un robot manipulador. ene. 2018, Consultado: ago. 03, 2021. [En línea]. Disponible en: http://bibdigital.epn.edu.ec/handle/15000/19051
Simmonds-Mendoza, A., Cabrera-Londoño, N., Berdugo-Barandica, N., Roldán-Mckinley, J., Yime-Rodríguez, E.: Implementación de control PID de nivel en laboratorio usando PLC Siemens S7-300. Rev. UIS Ingenier. 17(2), 2 (2018). https://doi.org/10.18273/revuin.v17n2-2018015
Velásquez, H., Johana, N.: Sistema de control para una planta de tratamiento de aguas residuales con un modelo dinámico de decantación, 2019, Consultado: ago. 03, 2021. [En línea]. Disponible en: https://repositorio.unal.edu.co/handle/unal/76416
Yonchev, A., Puleva, T.: Multi-objective LMI based robust state-feedback design of a hydro generator speed controller. In: 2020 55th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), September 2020, pp. 248–251 (2020). https://doi.org/10.1109/ICEST49890.2020.9232865
Hao, C., Hua, H., Qin, Y., Cao, J.: Robust controller design for energy router in energy internet via mixed H2/H∞ control technique. In: 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), October 2018, pp. 457–462 (2018). https://doi.org/10.1109/APPEEC.2018.8566306
Raeispour, M., Atrianfar, H., Baghaee, H.R., Gharehpetian, G.B.: Robust sliding mode and mixed H2/H∞ output feedback primary control of AC microgrids. IEEE Syst. J. 15(2), 2420–2431 (2021). https://doi.org/10.1109/JSYST.2020.2999553
Dulau, M., Oltean, S.-E.: Simulations of robust control of the throttle valve position. In: 2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), May 2020, pp. 1–5. https://doi.org/10.1109/AQTR49680.2020.9129912
Chamanbaz, M., Sznaier, M., Lagoa, C., Dabbene, F.: Probabilistic discrete time robust H2 controller design. In: 2020 59th IEEE Conference on Decision and Control (CDC), dic. 2020, pp. 2240–2245 (2020). https://doi.org/10.1109/CDC42340.2020.9304278
Liu, Y., Hou, T.: H2/H∞ control for continuous-time infinite Markov jump systems: infinite horizon case. In: 2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), Tianjin, China, July 2018, pp. 1–6 (2018). https://doi.org/10.1109/CYBER.2018.8688084
Pedrollo. Manual Electrobombas Centrigugas. https://www.pedrollo.com.co/public/allegati/CP%200.37-2.2%20kW_ES_60Hz.pdf (consultado ago. 03, 2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Sandoval-Rodríguez, C.L., Higuera, C.L., Ascanio-Villabona, J.G., Rincón Quintero, A.D., Maradey-Lazaro, J.G. (2022). Flow Control Strategies Using Classical Regulatory Technique and Advanced H2 Technique in an Irrigation Emulation Pilot Plant. In: Botto-Tobar, M., Cruz, H., Díaz Cadena, A. (eds) Recent Advances in Electrical Engineering, Electronics and Energy. CIT 2021. Lecture Notes in Electrical Engineering, vol 931. Springer, Cham. https://doi.org/10.1007/978-3-031-08280-1_5
Download citation
DOI: https://doi.org/10.1007/978-3-031-08280-1_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-08279-5
Online ISBN: 978-3-031-08280-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)