Abstract
This document presents the development of a Proportional Integral Derivative (PID) and a Fuzzy-PID, for the control of the level of the MPS PA plant, which is constituted by industrial sensors and actuators. The mathematical model and the parameters of the system were obtained using the software the MATLAB environment using a STM32F4 card. The experimental results show the robustness of the Fuzzy PID, because it improves the response of the system and its parameters are tuned automatically according to the state of the process, thus enhancing the performance of the system. Besides, the conventional PID controller requires an adjustment of its parameters to operate in an optimal for each change of variable, and it does not respond efficiently to disturbances.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Sebastiao, A., Lucena, C., Palma, L., Cardoso, A., Gil, P.: Optimal tuning of scaling factors and membership functions for mamdani type PID fuzzy controllers. In: International Conference on Control, Automation and Robotics ICCAR, pp. 92–96. Universidade Nova de Lisboa, Singapore (2015)
Pruna, E., Andaluz, V.H., Proaño, L.E., Carvajal, C.P., Escobar, I., Pilatásig, M.: Construction and analysis of PID, fuzzy and predictive controllers in flow system. In: 2016 IEEE International Conference on Automatica (ICA-ACCA), pp. 1–7. IEEE, Curico (2016)
Sam, S.M., Angel, T.S.: Performance Optimization of PID controllers using fuzzy logic. In: 2017 IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), pp. 438–442. IEEE, Chennai (2017)
Sharma, H., Palwalia, D.K.: A modified PID control with adaptive fuzzy controller applied to DC motor. In: 2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC), pp. 1–6. IEEE, India (2017)
Xu, F., Wang, Z., Song, X., Wang, S.: The fuzzy PID controller design base on nonlinear U-model. In: 018 Chinese Control And Decision Conference (CCDC), pp. 5378–5383. IEEE, Shenyang (2018)
Ibrahim, I.N., Akkad, M.A.A.: Exploiting an intelligent fuzzy-PID system in nonlinear aircraft pitch control. In: 2016 International Siberian Conference on Control and Communications (SIBCON), pp. 1–7. IEEE, Russia (2016)
Fu, X.D., Cao, G.Z., Huang, S.D., Wu, C.: Fuzzy PID control of the planar switched reluctance motor for precision positioning. In: 2017 7th International Conference on Power Electronics Systems and Applications - Smart Mobility, Power Transfer & Security (PESA), pp. 1–4. IEEE, China (2017)
Chabni, F., Taleb, R., Benbouali, A., Bouthiba, M.A.: The application of fuzzy control in water tank level using Arduino. Int. J. Adv. Comput. Sci. Appl. 7(4), 261–265 (2016)
Zhou, Y., Qi, B., Huang, S., Jia, Z.: Fuzzy PID controller for FOPDT system based on a hardware-in-the-loop simulation. In: 2 Proceedings of the 37th Chinese Control Conference, pp. 3382–3387. Researchgate, China (2018)
Prusty, S.B., Pati, U.C., Mahapatra, K.: Implementation of fuzzy-PID controller to liquid level system using LabVIEW. In: 2014 International Conference on Control, Instrumentation, Energy & Communication (CIEC), pp. 36–40. IEEE, India (2014)
Dehghani, A., Khodadadi, H.: Designing a neuro-fuzzy PID controller based on smith predictor for heating system. In: 2017 17th International Conference on Control, Automation and Systems (ICCAS 2017), pp. 15–20. IEEE, South Korea (2017)
Bai Y., Wang, D.: Fundamentals of fuzzy logic control-fuzzy sets, fuzzy rules and defuzzificatios. In: Advanced Fuzzy Logic Technologies in Industrial Applications, pp. 17–36. Springer, London (2006)
Thamma, M., Homchat, K.: Real-time implementation of self-tuning fuzzy PID controller for FOPDT system base on microcontroller STM32. In: 2017 2nd International Conference on Control and Robotics Engineering (ICCRE), pp. 130–134. IEEE, Thailand (2017)
Garcia, M.V., Perez, F., Calvo, I., Moran, G.: Developing CPPS within IEC-61499 based on low cost devices. In: IEEE International Workshop on Factory Communication Systems - Proceedings, WFCS (2015). https://doi.org/10.1109/WFCS.2015.7160574
Jacko, P., Kovac, D., Bucko, R., Vince, T., Kravets, O.: The parallel data processing by nucleo board with STM32 Microcontrollers. In: 2017 International Conference on Modern Electrical and Energy Systems (MEES), pp. 264–267. IEEE, Ukraine (2017)
Koszewnik, A., Nartowicz, T., Pawluszewicz, E.: Fractional order controller to control pump in FESTO MPS® PA compact workstation. In: 2016 17th International Carpathian Control Conference (ICCC), pp. 364–367. IEEE, Slovakia (2016)
Acknowledgment
To the Salesian Polytechnic University and the research Group in Electronics Control and Automation (GIECA) for the support given to the development of the project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Saeteros, M., Paucar, W., Molina, C., Caiza, G. (2020). Development and Analysis of a PID Controller and a Fuzzy PID. In: Nummenmaa, J., Pérez-González, F., Domenech-Lega, B., Vaunat, J., Oscar Fernández-Peña, F. (eds) Advances and Applications in Computer Science, Electronics and Industrial Engineering. CSEI 2019. Advances in Intelligent Systems and Computing, vol 1078. Springer, Cham. https://doi.org/10.1007/978-3-030-33614-1_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-33614-1_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-33613-4
Online ISBN: 978-3-030-33614-1
eBook Packages: EngineeringEngineering (R0)