Implementation of a Fuzzy Controller on Low-Cost Embedded Systems for Learning Process Control

In this paper we propose the low-cost solutions granted to university students to contribute to their professional development. Two control systems were simulated applying embedded devices, such as the BeagleBone Black and Udoo Neo Full boards applied on a didactic flow station. With these prototypes, the aim is to develop critical thinking in the user as well as putting into practice, the learned concepts about advanced controllers. To visualize the events produced, an interface can be made in the software LabVIEW and the option of saving this data in an .xlsx file is added for the later analysis of this information. The validation of the project is carried out by evaluating the acceptance of these characteristics by the students and the experimental results of the controller to changes in the set-point value.

[1]  Rosario Domingo,et al.  Deep drawing tool for e-learning: A didactic approach for manufacturing engineering education , 2010, IEEE EDUCON 2010 Conference.

[2]  Kyaw Zaw Ye,et al.  Implementation of data driven control system of DC motor by using system identification process , 2018, 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).

[3]  Silvia Maria Zanoli,et al.  Advanced process control aimed at energy efficiency improvement in process industries , 2018, 2018 IEEE International Conference on Industrial Technology (ICIT).

[4]  Igor Belai,et al.  A positional servo drive with filtered PID control , 2017, 2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT).

[5]  Juan Jose M. Nolasco,et al.  LabVIEW-based Classic, Fuzzy and Neural Controllers Algorithm Design Applied to a Level Control Prototype , 2017, IEEE Latin America Transactions.

[6]  Wu Yi,et al.  Machine vision based statistical process control in fused deposition modeling , 2017, 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA).

[7]  Praveen Kumar,et al.  Arduino and Raspberry Pi based smart communication and control of home appliance system , 2016, 2016 Online International Conference on Green Engineering and Technologies (IC-GET).

[8]  Hirohisa Oneda,et al.  Development of a Teaching Material That Can Motivate Students to Learn Control Engineering and Image Processing , 2014, 2014 IEEE 17th International Conference on Computational Science and Engineering.

[9]  Ashit Kumar Dutta Computing with words using intuitionistic fuzzy logic programming , 2018 .

[10]  Indrazno Siradjuddin,et al.  A real-time Model Based Visual Servoing application for a differential drive mobile robot using Beaglebone Black embedded system , 2015, 2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS).

[11]  Hui Xu,et al.  Automatic Locating System of Clean-Up Locomotive Based on PLC , 2017, 2017 2nd International Conference on Cybernetics, Robotics and Control (CRC).

[12]  Shajnush Amir,et al.  PLC based traffic control system with emergency vehicle detection and management , 2017, 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT).

[13]  Gustavo Moreno,et al.  Design and implementation of an automation didactic module focused to machine vision and programmable logic control , 2014, 2014 III International Congress of Engineering Mechatronics and Automation (CIIMA).

[14]  Sajjad Durrani,et al.  SCADA & PLC based fully automated pneumatic cutting machine: A test bench for industry and laboratory , 2018, 2018 International Conference on Engineering and Emerging Technologies (ICEET).

[15]  Nishant Kumar Sinha,et al.  Multiple motor synchronization using nonlinear PID control , 2017, 2017 3rd International Conference on Advances in Computing,Communication & Automation (ICACCA) (Fall).

[16]  Vrashali Kathare,et al.  CTF controller for CT scan using Beagle Bone Black , 2016, 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT).

[17]  Jeffrey R. Mountain Fuzzy logic motor speed control with real-time interface using an 8-bit embedded processor , 2010, 2010 42nd Southeastern Symposium on System Theory (SSST).

[18]  E. Pruna,et al.  Training system for remote control of industrial processes , 2016, 2016 IEEE International Conference on Automatica (ICA-ACCA).

[19]  Marcelo V. Garcia,et al.  Fuzzy control implementation in low cost CPPS devices , 2017, 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

[20]  Jorge Buele,et al.  Interactive System for Monitoring and Control of a Flow Station Using LabVIEW , 2018, ICITS.

[21]  Jorge Buele,et al.  Implementation of fuzzy controller in low cost embedded boards for a flow system , 2017, 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON).

[22]  Ali Ghasemi,et al.  Trajectory tracking control for a quadrotor using fuzzy PID control scheme , 2017, 2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI).

[23]  Steven J. Johnston,et al.  Applicability of commodity, low cost, single board computers for Internet of Things devices , 2016, 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT).

[24]  O. Chang,et al.  Building a training module for modern control , 2015, 2015 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON).

[25]  Julio E. Normey-Rico,et al.  A flexible low cost embedded system for Model Predictive Control of industrial processes , 2013, 2013 European Control Conference (ECC).

[26]  A. W. Saif,et al.  Network-based process control and improvements with fuzzy time delay modulator , 2017, 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

[27]  Peng Wei,et al.  PMSM Servo Control System Design Based on Fuzzy PID , 2017, 2017 2nd International Conference on Cybernetics, Robotics and Control (CRC).

[28]  E. Pruna,et al.  Implementation of a simulator of industrial processes , 2016, 2016 IEEE International Conference on Automatica (ICA-ACCA).