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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Habbab, Mohamed
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Control & Systems Engineering Electrical & Electronics Engineering

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Experimental study of PID for attitude control of a quadcopter using an ESP32 Moussaoui, Ahmed Khalil; Habbab, Mohamed; Abdeldjebar, Hazzab; Slimane, Hireche; Chandra, Ambrish; Gouabi, Hicham; Abdellah, Alhachemi Moulay
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1426-1434

Abstract

Aerial robotics encompasses intricate kinematics and dynamics that govern the flight of quad-rotor systems. Among the various methods employed for flight control using microcontrollers like the ESP32 developed by ESPRESSIF; the proportional integral derivative (PID) controller stands out as a widely adopted approach. The ESP32 microcontroller offers a superior interface, delivering enhanced performance and response time, particularly in dynamic environments. This article delves into the implementation and viability of the ESP32 platform for communication with MATLAB/Simulink, as well as real-time data acquisition to control the attitude of quadcopter withe chassis F450. The PID controller was designed to specifically work with the ESP32 platform and rigorously tested on an actual quadcopter during flight operations. lastly, a comprehensive analysis of the data gained and empirical results from the physical model demonstrates that the proposed framework is effective.
Fault diagnosis decentralized of manufacturing systems using Boolean models Slimane, Hireche; Habbab, Mohamed; Hazzab, Abdeldjebar; Moussaoui, Ahmed Khalil; Chandra, Ambrish; Gouabi, Hicham; Abdellah, Alhachemi Moulay
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2700-2708

Abstract

This paper introduces an approach decentralized to fault detection and isolation (FDI) in manufacturing systems using a Boolean discrete event model. The method incorporates diverse information sources to create distinct models for plant systems and control. The objective is to enhance the understanding of process operations by employing various representation tools tailored to each information source. It is to reduce the number of explosion problems combinatorial and detect faults in the shortest possible time. This comprehensive representation facilitates the fulfillment of three crucial diagnosis functions: detection, localization, and identification. The approach involves Boolean modeling of each process actuator along with its corresponding sensors, a temporal model based on fuzzy expectations of event occurrences, and a set of if...then rules. The goal of this decentralized approach minimize both the complexity and the manual construction effort required for the model. The paper demonstrates the effectiveness of this approach through an illustrative example involving manufacturing systems.
Co-Authors Abdeldjebar, Hazzab Abdellah, Alhachemi Moulay Chandra, Ambrish Gouabi, Hicham Hazzab, Abdeldjebar Moussaoui, Ahmed Khalil Slimane, Hireche