A project-oriented approach for power electronics and motor drive courses

Rodríguez-Ponce, Rafael; Gómez‐Loenzo, Roberto A.; Rodríguez‐Reséndiz, Juvenal

doi:10.1177/0020720915575927

Cited by 7 publications

(6 citation statements)

References 17 publications

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“…To quantify students’ opinions about the proposed p-n junction teaching methodology, they were asked to rate the statements given in Table 3. The statements were evaluated using the following grading system 24,25 : 5 - strongly agree; 4 - agree; 3 - neutral; 2 - disagree; 1 - strongly disagree. Table 3 presents the average scores by which students rated the statements.…”

Section: Students Feedbackmentioning

confidence: 99%

The alternative derivation procedure of equations of the law of the junction for the study of the p-n junction theory

Baškys

2020

International Journal of Electrical Engineering & Education

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The methodology that increases the student interest and provides modern knowledge to the study of the p-n junction theory has been proposed. It is based on two methods: increasing the interest of students using a new approach in derivation of equations of the law of the junction that allows obtaining more comprehensive knowledge about the operation of the p-n junctions and engaging students using the storytelling technique. The reaction of students to the lecture, obtained statistics on the student activity and the results of the student survey show that the proposed methodology allows increasing the student engagement in the p-n junction theory lectures.

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Section: Students Feedbackmentioning

confidence: 99%

The alternative derivation procedure of equations of the law of the junction for the study of the p-n junction theory

Baškys

2020

International Journal of Electrical Engineering & Education

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“…It should be noted that substitution of equations (15) and 14into equations (6) and 7leads to the following first-order decoupled dynamics relating Table 1, the two transfer functions arising from equation (16) are identical and expressed as…”

Section: Digital Current Control Loops Of the Pmsgmentioning

confidence: 99%

“…Implementation of VC algorithms, whose current control loops run typically at sampling frequencies close to 10 kHz, requires the use of powerful and, generally, dedicated 32-or 64-bit lCs or digital signal processors (DSPs). 11,[14][15][16] However, given that, during the degree studies, fundamentals on lCs and their programing are usually taught on the basis of simpler 8-or 16-bit devices, substantial additional training is required to bridge the considerable gap existing between programming those devices and programming 32-or 64-bit lCs or DSPs. 14,17 Bearing in mind that VC was also a topic to be learned by the FYP student, in order to keep both the difficulty and duration of the FYP reasonable, the student and his supervisor agreed to somehow make use of the same 8-bit 80C552 lC studied in the degree.…”

Section: Introductionmentioning

confidence: 99%

Student-tailored final year project on microcontroller-based hardware-in-the-loop speed control of a wind generator

Larruscain

Tapia

Susperregui

et al. 2018

International Journal of Electrical Engineering & Education

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Student-supervisor cooperation was carried out to design the inter-subject final year project reported in this paper. According to the student feedback, this approach allowed gathering his main interests-vector control, microcontroller programming and wind power generation-together, therefore reinforcing his motivation towards his final year project and making him feel particularly responsible for its outcome. Microcontroller-based hardware-in-the-loop emulation made possible to combine the three afore-cited student interests. In this context, the virtual prototype of a currentcontrolled wind turbine-driven 2-MW permanent-magnet synchronous generator is presented, along with the pseudo-code corresponding to the permanent-magnet synchronous generator speed control algorithm programmed in an 8-bit microcontroller. In addition, tuning formulas are derived for the digital integral-proportional controllers commanding both the permanent-magnet synchronous generator current and speed. Detailed descriptions are provided in order to guarantee reproducibility. Implementation of the hardware-in-the-loop rig is also tackled, supported by illustrative results obtained when running it. The developed hardware-in-the-loop rig is considered

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“…Currently, studies of intelligent systems are used to control the position [ 13 , 14 ]. For example, the work [ 15 ] use a fuzzy system combined with classic control systems to fit the control signal according to the changes in dynamics.…”

Section: Introductionmentioning

confidence: 99%

Self-Tuning Control Using an Online-Trained Neural Network to Position a Linear Actuator

et al. 2022

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Linear actuators are widely used in all kinds of industrial applications due to being devices that convert the rotation motion of motors into linear or straight traction/thrust motion. These actuators are ideal for all types of applications where inclination, lifting, traction, or thrust is required under heavy loads, such as wheelchairs, medical beds, and lifting tables. Due to the remarkable ability to exert forces and good precision, they are used classic control systems and controls of high-order. Still, they present difficulties in changing their dynamics and are designed for a range of disturbances. Therefore, in this paper, we present the study of an electric linear actuator. We analyze the positioning in real-time and attack the sudden changes of loads and limitation range by the control. It uses a general-purpose control with self-tuning gains, which can deal with the essential uncertainties of the actuator and suppress disturbances, as they can change their weights to interact with changing systems. The neural network combined with PID control compensates the simplicity of this type of control with artificial intelligence, making it robust to drastic changes in its parameters. Unlike other similar works, this research proposes an online training network with an advantage over typical neural self-adjustment systems. All of this can also be dispensed with the engine model for its operation. The results obtained show a decrease of 42% in the root mean square error (RMSE) during trajectory tracking and saving in energy consumption by 25%. The results were obtained both in simulation and in real tests.

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A project-oriented approach for power electronics and motor drive courses

Cited by 7 publications

References 17 publications

The alternative derivation procedure of equations of the law of the junction for the study of the p-n junction theory

The alternative derivation procedure of equations of the law of the junction for the study of the p-n junction theory

Student-tailored final year project on microcontroller-based hardware-in-the-loop speed control of a wind generator

Self-Tuning Control Using an Online-Trained Neural Network to Position a Linear Actuator

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