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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Bouchiba Bousmaha
University of Tahri Mohamed
Control & Systems Engineering Electrical & Electronics Engineering

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Intelligent control and reduce energy consumption of smart street lighting system Yaichi Mouaadh; Bouchiba Bousmaha; Rebhi Mhamed
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp1966-1974

Abstract

Public lighting is one of the criteria for the development of society, in addition to which it is important in human life, as it ensures safety and security during the night, but this may lead to an increase in energy consumption and therefore there is a deficit in energy bills. This research offers a smart street lighting system that has been implemented and tested at pilot site consists of 9 LED lights in order to reduce energy consumption without compromising the security and safety of street users. The developed system control solution relied on combining the effectiveness of the system with reduced installation costs, As soon as the user enters the street, his movement is detected using a motion sensor, so the controller processes this information and raises the intensity of the lighting around the street user’s area, then sends a message via a wireless network to the next controller, which in turn raises the intensity of the lighting, thus increasing the intensity of lighting in front of the user rather than behind. Through experimental results obtained, the system has proven its effectiveness in achieving energy savings up to 50% depending on the use of the smart control scenario.
Fuzzy genetic control for linear speed in multi-machine systems Kaddouri Youssouf; Bouchiba Bousmaha; Baba Mohammed
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i2.pp908-919

Abstract

In today’s fast-moving industrial sectors which include paper, textile, and plastic manufacture the core of production quality is in the precise coordination of multi-drive systems. While PI controllers are the mainstay of the industry, they do have issues in that they struggle with the nonlinearity and dynamics of large-scale windings, which in turn causes instability and product integrity issues. To that end, this paper presents an optimized fuzzy-genetic controller (FLC-GA), which we put forward as a better linear speed synchronization solution. We used genetic algorithms in the tuning of fuzzy logic parameters, which also takes out the very time-consuming task of manual calibration, and at the same time sees a great increase in the system’s ability to deal with process variability. We put our FLC-GA through its paces in a head-to-head comparison with the classic PI and PI-PSO controllers. What we found was that our proposed controller did very well; we saw zero overshoot, a quick 0.5 s settling time, and the total elimination of tension ripples. Also, we saw from a 13.2% change in system inertia that the FLC-GA did a 65% better job in terms of speed accuracy and stability than what we see from standard PI control. We present the FLC-GA not only as a theoretical improvement but as a very robust, high-performance solution in the very tough field of continuous industrial synchronization.
Co-Authors Baba Mohammed Kaddouri Youssouf Rebhi Mhamed Yaichi Mouaadh