Teaching automation and control with App Inventor applications

Oliveira, P. B. de Moura

doi:10.1109/educon.2015.7096077

Cited by 10 publications

(2 citation statements)

References 9 publications

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“…The MIT App Inventor, which was initially made available by the Google firm and is currently maintained by the Massachusetts Institute of Technology (MIT), was used to create and implement the app. MIT App Inventor has been transformed over the past ten years into automation systems [43], quizzes and games [44], smart home control [45][46][47][48], education [49], and more. It has been utilized for Android applications in many different projects, including.…”

Section: Android Applicationmentioning

confidence: 99%

Realization of Fuzzy-PI Controller-Based Path Planning of Differential Drive Mobile Robot

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Gökbulut

2024

Turkish Journal of Science and Technology

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This paper uses a cascade-connected fuzzy-PI controller to control the position and speed of a differential drive and four-wheel drive of an autonomous mobile robot for optimal path planning. The angular speed information obtained from the encoder of each motor and the instantaneous position and angle information of the robot were calculated. The angle and position error between the reference points and these values is applied to the fuzzy logic controller as an input signal. The robot angular and linear speed data obtained from the fuzzy logic output were converted into reference speed values with kinematic equations to be applied to the motors. The speed controls of the motors were carried out with a PI controller based on these reference values. The study was performed both as a simulation in the MATLAB program and experimentally in the laboratory environment for one and more reference coordinates. In the experimental study, reference values were sent to the robot via Bluetooth with the Android application designed. At the same time, the instant data of the robot was also collected on the Android device through the same application. These data collected in Excel format were transferred to the computer via e-mail and the graphics were drawn in the MATLAB program. When the results were examined, it was seen that both speed and position control were successfully implemented with the fuzzy-PI controller for optimum path planning of the robot.

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Section: Android Applicationmentioning

confidence: 99%

Realization of Fuzzy-PI Controller-Based Path Planning of Differential Drive Mobile Robot

Top,

Gökbulut

2024

Turkish Journal of Science and Technology

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“…This system enables students to remotely access and practice both wiring and programming. In addition, there are general mobile applications such as the "TimeCounts" app [11] and the "eLogicum" app [12] for PLC programming practice. However, there is a noticeable absence of apps dedicated to wiring practice.…”

Section: Introductionmentioning

confidence: 99%

Developing a Mobile Game Application to Enhance Learning Experience in Programmable Logic Controller (PLC) Wiring beyond the Laboratory

Kohpeisansukwattana,

Siriwattananon,

Charoenwanit

2024

Int. J. Interact. Mob. Technol.

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In the field of automation technology education, the primary emphasis is on instructing students in the use of programmable logic controllers (PLCs). Practical training for beginners includes sessions on wiring and programming. However, the training on wiring lacks resources for additional practice outside the laboratory. Recognizing the potential of mobile devices and digital game-based learning, this study aims to create a mobile game app for practicing basic PLC wiring at any time and in any location. The study also seeks to examine the impact of using the game app on student performance and user satisfaction. The game app underwent expert assessment and received a high suitability rating, garnering an overall score of 4.43. Subsequently, it was employed in an experiment involving an experimental group comprising 18 students and a control group consisting of 22 students. To address non-normal data, we utilized both parametric and non-parametric methods to ensure more robust data analysis. The study found that both the independent sample t-test and the Mann-Whitney U test yielded consistent results, with p-values of 0.009 and 0.01, both below 0.05. This led to the conclusion that additional practice with the game app improved students’ performance in wiring. The user experience received positive feedback, with an overall score of 4.25. Based on the results, we consider this game app to be an effective learning tool that can enhance student performance and the learning experience in basic PLC wiring.

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