TY - GEN
T1 - PLC Programming Instruction
T2 - 9th International Conference on Mechatronics Engineering, ICOM 2024
AU - Alizadeh, Tohid
AU - Akhtarshenas, Azim
AU - Karimi, Navab
AU - Soleimani, Hossein
AU - Alizadeh, Abdollah
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Programmable Logic Controllers (PLCs) are crucial in industrial automation, making proficiency in their use an es-sential skill for engineering students. Choosing the right platform for teaching PLC programming in universities, however, may be challenging. This paper summarizes, compares and evaluates various software platforms used in universities. The leading platforms could be identified based on a defined criteria frame-work encompassing cost, accessibility, learning curve, industry relevance, supported languages, and additional features. Through detailed examination and discussion, the platforms that offer the most efficient and effective learning experience for PLC program-ming education in universities could be identified. This selection should further be justified by considering additional factors like instructor experience, student preferences, institutional support, and geographical location. This paper not only highlights the strengths and weaknesses of different platforms but also provides valuable insights and recommendations for universities seeking to optimize their PLC programming curriculum. The findings hold the potential to enhance the quality of PLC programming education, better preparing students for successful careers in automation-driven industries.
AB - Programmable Logic Controllers (PLCs) are crucial in industrial automation, making proficiency in their use an es-sential skill for engineering students. Choosing the right platform for teaching PLC programming in universities, however, may be challenging. This paper summarizes, compares and evaluates various software platforms used in universities. The leading platforms could be identified based on a defined criteria frame-work encompassing cost, accessibility, learning curve, industry relevance, supported languages, and additional features. Through detailed examination and discussion, the platforms that offer the most efficient and effective learning experience for PLC program-ming education in universities could be identified. This selection should further be justified by considering additional factors like instructor experience, student preferences, institutional support, and geographical location. This paper not only highlights the strengths and weaknesses of different platforms but also provides valuable insights and recommendations for universities seeking to optimize their PLC programming curriculum. The findings hold the potential to enhance the quality of PLC programming education, better preparing students for successful careers in automation-driven industries.
KW - automation instruction
KW - industrial automation
KW - Industry 4.0
KW - PLC
KW - PLC programming
KW - PLC programming instruction
KW - PLC software
KW - Programmable logic controller
UR - http://www.scopus.com/inward/record.url?scp=85204312134&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85204312134&partnerID=8YFLogxK
U2 - 10.1109/ICOM61675.2024.10652410
DO - 10.1109/ICOM61675.2024.10652410
M3 - Conference contribution
AN - SCOPUS:85204312134
T3 - Proceedings of the 9th International Conference on Mechatronics Engineering, ICOM 2024
SP - 76
EP - 82
BT - Proceedings of the 9th International Conference on Mechatronics Engineering, ICOM 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 August 2024 through 14 August 2024
ER -