UAV Flight Instructional Design for Industry 4.0 based on the Framework of Educational Mechatronics

被引:0
|
作者
Vega, Luis F. Luque [1 ]
Lopez-Neri, Emmanuel [1 ]
Arellano-Muro, Carlos A. [2 ]
Gonzalez-Jimenez, Luis E. [3 ]
Ghommam, Jawhar [4 ]
Carrasco-Navarro, Rocio [5 ]
机构
[1] Univ Valle Mexico, CIIDETEC UVM, Tlaquepaque, Mexico
[2] CINVESTAV IPN, Automat Control Dept, Campus Guadalajara, Guadalajara, Jalisco, Mexico
[3] ITESO AC, Dept Elect Syst & Informat, Tlaquepaque, Mexico
[4] Sultan Quaboos Univ, Dept Elect & Comp, Muscat, Oman
[5] ITESO AC, Dept Math & Phys, Tlaquepaque, Mexico
关键词
Educational mechatronics; UAV; industry; 4.0;
D O I
10.1109/iecon43393.2020.9255295
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The new stage of the industrial revolution, called industry 4.0, involves the use of Internet of Things, Artificial Intelligence, process automation and cyber-physical systems to achieve smart factories; these technologies are part of the Information and Communications Technology (ICT) and are devoted to increase levels of industrial intelligence. Within Industry 4.0, drones appear as intelligent devices that have been changing the rules of the game in the industrial sector, providing benefits with innovative applications. However, the required knowledge, skills and attitudes to manage these technological devices are not being developed in most of the Universities. This paper presents an instructional design for teaching UAV flight dynamics based on the Educational Mechatronics Conceptual Framework (EMCF) with the aim to develop the mechatronic concept. This EMCF includes the macro-process levels: concrete, graphic and abstract, and the processes involved to promote learning construction. Moreover, it takes into account the perspective entities: flight Dynamics (Process), Aerial Robotics (Application) and Drone (Artifact). The designed manual is focused on developing knowledge, skills and attitudes in the new jobs generated in Industry 4.0. We consider it key to disseminate educational mechatronics to help Countries in its transformation to become a relevant actor in the fourth industrial revolution.
引用
收藏
页码:2313 / 2318
页数:6
相关论文
共 50 条
  • [21] Design of Automatic Processing System Based on Industry 4.0
    Lv, Yulin
    Xie, Feng
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 2548 - 2553
  • [22] Design of a small UAV flight control system based on DSP
    Key Laboratory of Modern Complex Equipment Design and Extreme Manufacturing, Central South University, Changsha 410083, China
    Huazhong Ligong Daxue Xuebao, 2008, SUPPL. 1 (254-257):
  • [23] Design and Implementation of UAV Flight Simulation Based on Matlab/Simulink
    Xing, Zheng
    He, Yang
    Jian, Cheng
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING AND INDUSTRIAL INFORMATICS, 2015, 15 : 190 - 193
  • [24] Design of flight controllers based on simplified LPV model of a UAV
    Natesan, Kannan
    Gu, Da-Wei
    Postlethwaite, Ian
    Chen, Jianchi
    PROCEEDINGS OF THE 45TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14, 2006, : 37 - 42
  • [25] Model-Driven Framework for Human Machine Interaction Design in Industry 4.0
    Leal, Patricia
    Madeira, Rui Neves
    Romao, Teresa
    HUMAN-COMPUTER INTERACTION - INTERACT 2019, PT IV, 2019, 11749 : 644 - 648
  • [26] Industrial blockchain based framework for product lifecycle management in industry 4.0
    Liu, X. L.
    Wang, W. M.
    Guo, Hanyang
    Barenji, Ali Vatankhah
    Li, Zhi
    Huang, George Q.
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2020, 63 (63)
  • [27] Data Analytics and BI Framework based on Collective Intelligence and the Industry 4.0
    Lopez, Cindy-Pamela
    Segura, Marco
    Santorum, Marco
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND SYSTEMS (ICISS 2019), 2019, : 93 - 98
  • [28] A Framework of Action for Implementation of Industry 4.0. an Empirically Based Research
    Pollak, Artur
    Hilarowicz, Agata
    Walczak, Maciej
    Gasiorek, Damian
    SUSTAINABILITY, 2020, 12 (14) : 1 - 16
  • [29] AN EVENT BASED MACHINE LEARNING FRAMEWORK FOR PREDICTIVE MAINTENANCE IN INDUSTRY 4.0
    Calabrese, Matteo
    Cimmino, Martin
    Manfrin, Martina
    Fiume, Francesca
    Kapetis, Dimos
    Mengoni, Maura
    Ceccacci, Silvia
    Frontoni, Emanuele
    Paolanti, Marina
    Carrotta, Alberto
    Toscano, Giuseppe
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2019, VOL 9, 2019,
  • [30] Integrating Lean Six Sigma and Industry 4.0: developing a design science research-based LSS4.0 framework for operational excellence
    Skalli, Dounia
    Cherrafi, Anass
    Charkaoui, Abdelkabir
    Chiarini, Andrea
    Shokri, Alireza
    Antony, Jiju
    Garza-Reyes, Jose Arturo
    Foster, Monika
    PRODUCTION PLANNING & CONTROL, 2024,