Browsing by Author "Canale, Laurent"

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Design and robust performance analysis of Low-Order approximation of fractional PID controller based on an IABC algorithm for an automatic voltage regulator system
(MDPI, 2022) Idir, Abdelhakim; Canale, Laurent; Bensafia, Yassine; Khettab, Khatir
In this paper, a low-order approximation (LOA) of fractional order PID (FOPID) for an automatic voltage regulator (AVR) based on the modified artificial bee colony (ABC) is proposed. The improved artificial bee colony (IABC) high-order approximation (HOA)-based fractional order PID (IABC/HOA-FOPID) controller, which is distinguished by a significant order approximation and by an integer order transfer function, requires the use of a large number of parameters. To improve the AVR system’s performance in terms of transient and frequency response analysis, the memory capacity of the IABC/HOA-FOPID controller was lowered so that it could fit better in the corrective loop. The new robust controller is named the improved artificial bee colony (IABC) low-order approximation (LOA)-based fractional order PID (IABC/LOA-FOPID). The performance of the proposed IABC/LOA-FOPID controller was compared not only to the original ABC algorithm-tuned PID controller, but also to other controllers tuned by state-of-the-art meta-heuristic algorithms such as the improved whale optimization algorithm (IWOA), particle swarm optimization (PSO), cuckoo search (CS), many optimizing liaisons (MOL), genetic algorithm (GA), local unimodal sampling (LUS), and the tree seed algorithm (TSA). Step response, root locus, frequency response, robustness test, and disturbance rejection abilities are all compared. The simulation results and comparisons with the proposed IABC/LOA-FOPID controller and other existing controllers clearly show that the proposed IABC/LOA-FOPID controller outperforms the optimal PID controllers found by other algorithms in all the aforementioned performance tests
Enhancing the transient performances and stability of three-tank liquid level using a modified pid controller
(Revue roumaine des sciences techniques — Série électrotechnique et énergétique, 2025) Idir, Abdelhakim; Nesri, Mokhtar; Belhouchet, Khaled; Guedida, Sifelislam; Canale, Laurent
Managing liquid levels in industrial tanks is crucial, especially for precise component mixing. Traditional PID controllers, though widely used, often exhibit slow settling times and excessive overshoot, which can affect system performance. This study proposes a fractionalized order PID (FrOPID) controller optimized using the Modified Artificial Hummingbird Algorithm (MAHA) to enhance stability and response in a three-tank system. The controller’s effectiveness is evaluated under varying valve coefficient (Kv) and tank cross-sectional area conditions. A comparative analysis with advanced metaheuristic-optimized PID controllers confirms the superiority of the MAHA/FrOPID in terms of accuracy, response speed, and robustness, making it a highly efficient solution for liquid level control.
Influence of approximation methods on the design of the novel low-order fractionalized PID controller for aircraft system
(Springer Nature, 2024) Idir, Abdelhakim; Bensafia, Yassine; Canale, Laurent
In this paper, the effect of approximation approaches on a novel low-order fractionalized proportional–integral–derivative (LOA/FPID) optimal controller based on the Harris Hawks optimization algorithm (HHOA) for airplane pitch angle control is studied. The Carlson, Oustaloup and Matsuda methods are used separately to approximate the fractional integral order of the fractionalized PID controller. This technique consists in introducing fractional-order integrators into the classical feedback control loop without modifying the overall equivalent closed loop transfer function. To validate the effectiveness of the suggested approach, performance indices, as well as transient and frequency responses, were used. The comparative study was performed, and the results show that the proposed reduced fractionalized PID based on HHO algorithm with Carlson controller is better in terms of percentage overshoot, settling time and rise time than other controllers.
Low cost house automation system based on arduino microcontroller
(IEEE, 2021) Chekired, Fathia; Canale, Laurent; Tadjer, Sidahmed; Louni, Amira; Bouroussis, A.; Tilmatine, Amar
In the residential sector, the energy consumed for lighting represents the significant amount of about 40% of the total energy consumption of a typical house. Researchers and engineers are currently developing new methods and technical solutions to reduce energy consumption especially in the residential sector. The presented work outlines the development of a microcontroller-based automation system of a smart house using automatic lighting and thermal comfort sensors (temperature) combined with safety functions (gas leakage, smoke detection). This system is based on Arduino-Mega controller and is applied through the implementation of a complete algorithm. The program is written in C++ and compiled to microcontroller’s instructions set using Arduino IDE software. The control circuit and the simulation are realized under the Proteus software. The hardware prototype is also provided to experiment on the designed control strategy. The prototype is based on low-cost components that can be widely used in developing countries. The developed circuit will make the house more comfortable and safer for inhabitants and will consume less energy
Optimizing Smart City Street Lighting: A Hybrid IoT-SAC Approach
(Institute of Electrical and Electronics, 2025) Tercha, Wassila; Chekired, Fathia; Tadjer, Sid Ahmed; Canale, Laurent
The confluence of artificial intelligence (AI) and the internet of things (IoT) is fast changing the concept of smart cities. Smart street lighting is only one example of the great opportunities this potent combination presents for enhancing urban infrastructure. While previous studies have looked into the possibility of combining IoT and Soft Actor-Critic (SAC) for this goal, this work takes a different tack. A simulated Internet of Things system that replicates real-world sensor data is used in our work. The SAC algorithm receives data from this system on variables like ambient light levels, weather, and vehicle and pedestrian traffic. The SAC algorithm modifies street light operation patterns and brightness dynamically within this controlled environment. This enables us to fine-tune the hybrid strategy so that it strikes a balance between user comfort and energy efficiency
Performance improvement of aircraft pitch angle control using a new reduced order fractionalized PID controller
(Wiley, 2022) Idir, Abdelhakim; Bensafia, Yassine; Khettab, Khatir; Canale, Laurent
In this paper, a new optimal reduced order fractionalized PID (ROFPID) controller based on the Harris Hawks Optimization Algorithm (HHOA) is proposed for aircraft pitch angle control. Statistical tests, analysis of the index of performance, and disturbance rejection, as well as transient and frequency responses, were all used to validate the effectiveness of the proposed approach. The performance of the proposed HHOA-ROFPID and HHOA-ROFPID controllers with Oustaloup and Matsuda approximations was then compared not only to the PID controller tuned by the original HHO algorithm but also to other controllers tuned by cutting-edge meta-heuristic algorithms such as the atom search optimization algorithm (ASOA), Salp Swarm Algorithm (SSA), sine-cosine algorithm (SCA), and Grey wolf optimization algorithm (GOA). Simulation results show that the proposed controller with the Matsuda approximation provides better and more robust performance compared to the proposed controller with the Oustaloup approximation and other existing controllers in terms of percentage overshoot, settling time, rise time, and disturbance rejection