Portland, Oregon
June 23, 2024
June 23, 2024
June 26, 2024
Instrumentation Division (INST)
28
10.18260/1-2--46477
https://peer.asee.org/46477
100
Fernando Silveira Madani received the B.S (1998) in Mechatronics Engineering from the Univ. Paulista – Brazil, the M.S. (2002) and Ph.D. (2010) from the Aeronautical Institute of Technology (ITA) - Brazil. In 2002, he joined the faculty of the Dept. of Mechanical Engineering, Mauá Institute of Technology – Brazil, where he is currently as a full professor and Head of the Mechatronics Engineering program. His main research interests include, robotics, advanced manufacturing systems, embedded systems, and autonomous mobile robots. Since 2014 is an INEP (agency linked to the Ministry of Education) advisor, to promote the evaluation and improvement of undergraduate courses in mechatronics engineering in Brazil.
Andressa Martins is holds a master's degree in Aerospace Systems and Mechatronics with a focus on Robotics from the Aeronautics Institute of Technology and a degree in Control and Automation Engineering from the Universidade Paulista. Currently, she is a professor at the Mauá Institute of Technology. She has experience in the field of Control and Automation Engineering (Mechatronics), working mainly on the following topics: Intelligent Systems, Digital Twin, Industrial Automation, Instrumentation, Robotics, Mechanism Design, and Engineering Fundamentals.
Student of control and automation engineering at the Maua Institute of Technology.
Graduated in Control and Automation Engineering from Instituto Mauá de Tecnologia (IMT) (2008). Master in Mechatronics Engineering from the Instituto Tecnológico de Aeronáutica (ITA) (2011). PhD in Mechatronics Engineering from the Instituto Tecnológico de Aeronáutica (ITA) (2017). He is currently a professor at the Instituto Mauá de Tecnologia. He develops activities and research in the area of mobile autonomous robotics, control systems, industrial robotics and microcontroller systems.
Alexandre Harayashiki Moreira received M.S. (2017) in multirobot system from UFABC Univ., Brazil. Since 2016, he has been a Member of Control & Automation Research group at Maua Institute of Technology focused on autonomous robots and smart cities.
The project involves developing an experimental setup and an interactive simulator that will control the angular position and velocity of an inertia wheel coupled to a DC motor. The project was developed using the knowledge from the subjects studied in the 4th year of the Control and Automation Engineering course at the Instituto Mauá de Tecnologia, including Object-Oriented Programming, Database, Instrumentation, Embedded Systems, and Control Systems. This work will allow for experimenting and understanding important concepts related to these disciplines. To achieve this, this project will have several phases, including the development of the virtual environment, which will have two stages. The first stage involves interactive control of the gains of a PID controller that will control the position in degrees (°) and the velocity in rotations per minute (RPM). The second stage involves analyzing the system's behavior with pre-designed controllers for controlling only the position in degrees (°). In both stages, there will be the visualization of the simulation results. The second phase involves building the necessary hardware to perform what the simulator requires, including specifying the components and their interconnections, and finally, programming the system (firmware and software-GUI) to operate according to the specifications provided by the simulator user. At the end, examples of projects will be presented as well as their evaluation, and focused on ABET, how these projects can be used to evaluate students' outcomes.
Madani, F. S., & Martins, A. C., & Galvani, L. O., & Moreira, A. H., & Harayashiki Moreira, A. (2024, June), A Project Based Learning Approach for development of an experimental setup and a simulator for position and velocity control of a DC motor with interactive and pre-calculated parameters. Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2--46477
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