Abstract
This article presents the design of PID, fuzzy and MPC control algorithms for the temperature process of an electric oven with the objective of comparing operational and economic indexes. The controllers are implemented using the hardware in the loop technique that considers the virtualization of the process in the Unity 3D graphics engine. The development of the virtual environment incorporates 3D models that resemble a real environment of the brick manufacturing process, allowing the immersion and interaction of the user with the environment, in order to perform monitoring and control tasks of the industrial process. For the virtualization of the industrial process, it is considered to obtaining a mathematical model that represents the dynamics of the temperature plant. Finally, the experimental results achieved through the implementation of the hardware in the loop technique are presented, and a comparison of the controllers is performed in terms of power consumption, controller performance by visualizing the behavior of the temperature system and the evolution of the control errors.
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References
Salah, B., et al.: Integrating the concept of Industry 4.0 by teaching methodology in industrial engineering curriculum. MDPI Processes. Chem. Eng., pp: 2–16 (2020)
Bahrin M., Othman, N., Azli, M.: Industry 4.0: a review on industrial automation and robotic. J. Technol., pp. 137–139 (2016)
Pauliková, A., et al.: Analysis of the impact of human–cobot collaborative manufacturing implementation on the occupational health and safety and the quality requirements. MDPI Environ. Res. Public Health, pp. 1–2 (2021)
Leso, V., et al.: The occupational health and safety dimension of industry 4.0. MDPI public health. Environ. Occup. Health, pp. 1–15 (2018)
Rodrígueza, T.: Modelado y control de turbinas eólicas marinas flotantes. Rev. Iberoamericana de Automática Informática ind. 4(16), 381–390 (2018)
Ulloa, F., Camacho, O., Aro. K.: Comparación de diferentes estrategias de control para sistemas con retardo. Rev. Cienc. Ing. 3(40), 303–310 (2019)
Zambrano, J.I., et al.: Multi-user virtual system for training of the production and bottling process of soft drinks. In: 2020 15th Iberian Conference on Information Systems and Technologies (CISTI). IEEE (2020)
Teneda, F.I., Villacís, J.I., Espinosa, E.G., Andaluz, V.H.: Conversational agent for industrial processes through virtual environments. Advances in Intelligent Systems and Computing, vol. 1368. Springer, Cham. https://doi.org/10.1007/978-3-030-72654-6_21 (2021)
Song, J., et al.: Study on PID temperature control performance of a novel PTC material with room temperature Curie point. Int. J. Heat Mass Transf. 96, 1038–1046 (2016)
Zou, H., Li, H.: Improved PI-PD control design using predictive functional optimization for temperature model of a fluidized catalytic cracking unit. ISA Trans. 65, 215–221 (2016)
Tamilselvan, G., Aarthy, P.: Online tuning logic controller using Kalman algorithm for conical tank system. J. Appl. Res. Technol. 5(5), 492–503 (2017)
Faedo, N., Olaya, S., Ringwood, J.: Optimal control, MPC, and PMC—like algorithms for wave energy systems: an overview. IFAC J. Syst. Control 1, 37–56 (2017)
González, G., Ramirez, M., Albertos, P. Robust nonlinear adaptive mould level control for steel continuous casting. IFAC – PapersOnline, 25, 164–170 (2018).
Pruna, E., et al.: Construction and analysis of PID, fuzzy and predictive controllers in flow system. In: IEEE International Conference on Automatica (ICA-ACCA), 1–7 (2016)
HoltKotter, J., et al.: Rapid control prototyping as part of model-based development of head pump dryers. Procedia Manuf. 24, 235–242 (2018)
Tran, C., et al.: Internal model control for industrial wireless plant using WirelessHART hardware-in-the-loop simulator. ISA Trans., pp. 1–11 (2018).
Carvajal, C., et al.: Autonomous and Tele-Operated Navigation of Aerial Manipulator Robots in Digitalized Virtual Environments, pp. 496–515. Springer International Publishing AG, (2018)
Ortiz, J.S., Palacios-Navarro, G., Andaluz, V.H., Guevara, B.S.: Virtual reality-based framework to simulate control algorithms for robotic assistance and rehabilitation tasks through a standing wheelchair. Sensors 21(15), 5083.https://doi.org/10.3390/s21155083 (2021)
Andaluz, G.M., et al.: Modeling dynamic of the human-wheelchair system applied to NMPC. Lecture Notes in Computer Science, vol. 9835. Springer, Cham. https://doi.org/10.1007/978-3-319-43518-3_18 (2016)
Acknowledgements
The authors would like to thank the Universidad de las Fuerzas Armadas ESPE; Universidad Tecnológica Indoamérica; SISAu Research Group, and the Research Group ARSI, for the support for the development of this work.
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Mollocana, J.D., Jorque, B.S., Varela-Aldás, J., Andaluz, V.H. (2022). Temperature Control of an Electric Through Virtual Hardware in the Loop Technique. In: Mesquita, A., Abreu, A., Carvalho, J.V. (eds) Perspectives and Trends in Education and Technology. Smart Innovation, Systems and Technologies, vol 256. Springer, Singapore. https://doi.org/10.1007/978-981-16-5063-5_56
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DOI: https://doi.org/10.1007/978-981-16-5063-5_56
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