M. Tadjine

• PhD
• Professor at Polytechnic School of Algiers

This study compares classical direct torque control (DTC) methods with a proposed quantum direct torque control (QDTC) strategy for synchronous machines. A quantum comparator is developed by implementing a quantum subtractor between real numbers ranging from -100 % to +100 %, and a quantum sign function is developed using this digital quantum subtr...

We describe a quantum teleportation protocol for exchanging data between a mobile robot and its control station. Because of the high cost of quantum network systems, we use MATLAB software to simulate the teleportation of data. Our simulation models the dynamic motion of a car-like mobile robot (CLMR), considering its mass and inertia and the envir...

The goal of this research is to formulate and compare two algorithms, classical particle swarm optimisation (PSO) and quantum PSO (QPSO), for optimising the motion of a car-like mobile robot. Both algorithms are evaluated on the basis of their reduction and stabilisation of the root mean square error (RMSE) between the robot’s desired and actual tr...

Low concentration of glucose, “hypoglycemia” is the most critical complication for type 1 diabetes patients, may lead to coma or death. For this purpose, a dual-hormonal control of glycaemia is required, using insulin to recover the period of hyperglycemia and glucagon to treat hypoglycemia. In this study, an extended mathematical model of blood gl...

Solar energy is key to achieving a more environmentally responsible future. One way to exploit it is to use semiconductor technology through solar panels to generate clean, sustainable, and controllable energy. However, the use of such solutions must be optimised by methods such as maximum power point tracking (MPPT) to extract the maximum availabl...

This paper describes a new methodology for the modeling and analysis of three-phase synchronous generators operating under an unbalanced regime. For this, an improved state model has been developed in order to determine significant signatures on stator and rotor electromagnetic quantities. This methodology is characterized by some advantages. First...

Due to the external disturbances, model uncertainties, strong coupling, and occurred faults, the winding machine presents a great control challenge. In order to deal with these problems, this paper presents the formulation of a novel scheme of fault tolerant control (FTC) for three-motor web-winding systems; it is concerned with the nonlinear robus...

This work concerns an investigation on the analysis of the magnetic saturation effects in the three-phase squirrel cage induction generator which is considered as a main device in wind energy conversion systems. The magnetic saturation is considered as an important factor causing destructive effects on power qualities such as harmonics and distorti...

The emergence of quantum computers is having an impact on almost every field of engineering. Electrical drives, in particular, can benefit from the power of quantum computing. This paper presents a quantum version of the pulse-width modulation (PWM) algorithm, which is used widely to control electrical motors. The proposed algorithm is implemented...

The Extended Kalman Filter (EKF) is a widely used algorithm for state estimation in control systems. However, its lack of adaptability limit its performance in dynamic and uncertain environments. To address this limitation, we used an approach that leverages Deep Reinforcement Learning (DRL) to achieve adaptive state estimation in the EKF. By integ...

In this paper, we investigate the leader–followers Time-Varying Formation Tracking (TVFT) problem of a networked Multi-Agent Systems (MASs) based output feedback. The agents’ behavior is featured by linear dynamics. The interaction topology among the agents is switching over time, directed and only assumed to contain a directed spanning tree. This...

With the advent of quantum computing, almost all classical computing concepts must be translated into quantum equivalents. Control theory, in particular, requires a large numbers of calculations. This paper designs and presents a quantum sliding mode controller. The controller uses two qubit states, one for detecting tracking errors and the other f...

Solar thermal plants have high nonlinearities and non-manipulated energy source which make their control task a very challenging work. Linear controllers cannot cope with undesirable deviations of the outlet temperature over all the operation range of the dynamics of this type of plants. Moreover, nonlinear predictive control relying on online nonl...

This paper proposes a robust adaptive finite time command filtered backstepping control strategy for uncertain output constrained nonlinear systems in strict-feedback form with uncertain parameters and external disturbances. The robust adaptive finite time control technique is constructed by combining the barrier Lyapunov function (BLF) and the fin...

Many multiagent interconnected systems include typical nonlinearities, which are highly sensitive to inevitable communication delays. This makes their analysis challenging and the generalization of results from linear interconnected systems theory to those nonlinear interconnected systems very limited. This article deals with the analysis of multia...

This work describes an efficient approach for the modeling and analysis of asymmetrical induction machines operation under stator short-circuits faults. Theoretical and experimental studies have been investigated for extracting signatures on the line currents, electromagnetic torque, decrease and mechanical speed. The novelty of this approach is th...

This article investigates an adaptive finite time command filtered backstepping control design for a class of uncertain full state constrained strict‐feedback nonlinear systems. The proposed adaptive control strategy is constructed by combining the barrier Lyapunov functions (BLFs), the adaptive command filtered backstepping control method and the...

Quantum computing is gaining popularity in a variety of engineering fields. Especially in the case of automated process control. In light of ever-increasing technological sophistication and complexity, as well as demands on computing resources, the need for quantum versions of basic mathematical modelling and control theory tools is imminent. This...

In this article, an immersion and invariance based adaptive command filtered backstepping control method (I&I ACFBC) is proposed for a class of single-input and single-output (SISO) uncertain nonlinear systems in strict-feedback form. The problem of the explosion of complexity inherent to the traditional adaptive backstepping control design is solv...

Automatic control theory has brought many new innovative process control strategies and solutions to stability and trajectory tracking problems in engineering, for linear as well as for nonlinear systems. With the emergence of quantum computing concepts and technologies, quantum versions of conventional modelling techniques, control tools and strat...

This research paper suggests the fault diagnosis methodology for an induction motor, and it is established via a sliding mode observer. The most important contribution and innovation of this paper are the development of a novel observer with high performance and robustness to overcome the disturbance effect in a particular class of systems, and it...

Since its emergence, quantum computing has enabled a wide spectrum of new possibilities and advantages, including its efficiency in accelerating computational processes exponentially. This has directed much research towards completely novel ways of solving a wide variety of engineering problems, especially through describing quantum versions of man...

In this paper, a novel robust backstepping-based fault-tolerant control is designed, implemented and validated experimentally on a quadrotor unmanned aerial vehicle testbed under actuator fault conditions for tracking control. Backstepping is known as a robust method to maintain system performance and keep it insensitive to disturbances. The propos...

Quantum computing is becoming a major new field in engineering. Adaptation of classical computation concepts to this emerging technological reality is underway. In this study, a sampling-based approach is used to adapt state-domain equations to HHL-based formulation to obtain a homologous quantum algorithm for solving the dynamic equations in the s...

This article presents a robust adaptive dynamic surface control using σ‐modification adaptation laws for a class of single‐input and single‐output (SISO) uncertain nonlinear systems in strict‐feedback form with parametric uncertainties and external disturbances. The proposed scheme is developed by employing dynamic surface control based robust adap...

This paper proposes a novel hybrid meta-heuristic technique based on Nonsingular Terminal Sliding Mode Controller (NTSMC), Time Delay Estimation (TDE) method, an Extended Grey Wolf Optimization (EGWO) algorithm and adaptive super twisting control law. The fast convergence is assured by NTSMC owing to its inherent nonlinear property and no prior kno...

This paper presents a robust adaptive sliding mode controller scheme as applied to a class of uncertain nonlinear systems with parametric uncertainties and external disturbances. First, a sliding mode control technique is designed. Then, the proposed robust adaptive control schemes are applied to estimate the parametric uncertainties and the upper...

This paper presents an automated closed-loop control for type 1 diabetes. The closed loop is designed using a new extended mathematical model that takes into account the dynamics of the insulin-antagonistic pancreatic hormone called glucagon, which stimulates hepatic glucose production. An adaptive controller is developed for an artificial pancreas...

Abstract-This paper presents an analytical method for the optimal estimation of time constants of synchronous machine from Stand Still Frequency Response Testing (SSFR). We show that the analytical method is advantageous over the conventional one since the latter is based on curve fitting representing the variation of the operational inductance as...

Due to the external disturbances, model uncertainties, strong coupling, and occurred faults, the winding machine presents a great control challenge. In order to deal with these problems, this paper presents the formulation of a novel scheme of fault tolerant control (FTC) for three-motor web-winding systems; it is concerned with the nonlinear robus...

In more electrical aircraft, most flight control wing surface actuators are either electro-hydrostatic or electro-mechanical, whether in manual or autopilot mode. Their reliability is essential for flight safety; failure of even one actuator can have catastrophic consequences. According to ARP4761 guidelines for the development and certification of...

Flexible and robust Time-Varying Formation (TVF) tracking of Unmanned Ground Vehicles (UGVs) guided by an Unmanned Aerial Vehicle (UAV) is considered in this paper. The UAV–UGVs system control model is based on leader-follower approach, where the control scheme consists of two consecutive tasks, namely, deployment task and TVF tracking. Accordingly...

This paper presents a novel model for describing the position of robotic arms using quantum computing tools. Because of the successful use and implementation of the quaternions in the rigid bodies and robotic arms’ kinematics modelling, this research examines the equivalence between the quaternions and the Pauli matrices in the context of modelling...

Since it is difficult to store electrical energy, production, and consumption must be in equilibrium under constant voltage and frequency. The producers, the receivers, and the electrical networks that connect them, have mechanical and electrical inertias which disturb this balance. Faced with a variation in power, the electrical system, after osci...

Quantum computing model of robotic arm orientation is presented. Spherical and vector coordinates, a homogenous rotation matrix, Pauli gates and quantum rotation operators are used to formulate the orientation model and establish a new algorithm. The quantum algorithm uses a single qubit to compute orientation and has the advantage of operation rev...

The nonsingular finite-time adaptive robust saturated command-filtered control problem for quadcopter unmanned aerial vehicles is investigated in this paper. Firstly, an adaptive robust command-filtered control, based on backstepping command-filtered and nonsingular fast terminal sliding mode control, is developed. Secondly, the parametric and nonp...

High-precision positioning of two underwater mobile robots based on laser beams alignment has been investigated in this work. Usually, the control problem addressed in laser beams aims to maintain the position of the receiver robot aligned with the transmitter robot despite the effects of noise and active disturbances. In this paper, a new state sp...

This paper presents an immersion and invariance based adaptive dynamic control scheme for a class of parametric strict-feedback nonlinear systems. By using dynamic surface control, the problem of explosion of complexity inherent in the conventional backstepping control method is avoided. The uniformly ultimately boundedness (UUB) of all signals in...

In the present paper, the electromagnetic properties of a Double Star Induction Machine (DSIM) are investigated experimentally by considering a short circuit in the stator winding. The DSIM consists of two three-phase windings, which are spatially phase-shifted by 30 electrical degrees. Usually, the study of the short circuit fault in an induction...

In this paper, a robust loop-shaping control of three-cell inverter is proposed. The hybrid nature of this inverter, represented by the presence of continuous and discrete dynamics, is taken into account in the modeling and control design parts. Firstly, the instantaneous inverter model is derived and the control problem is formulated as a two casc...

In this paper, a new application of teaching learning-based optimization algorithm is presented for tuning the parameters of the controller based on disturbance observer with coefficient diagram method and backstepping method for electrohydraulic servo system to compensate the external disturbances and parameter uncertainties. Accurate stability an...

In this research article, a global fault‐tolerant control technique (GFTC) for field‐oriented control of asynchronous (or induction) motor is addressed. It aims to present an FTC scheme that deals with the most common failures, which can alter the induction machine. Two classes of failures are treated here, machine failures such as stator winding f...

In this paper, we propose a new application of the coefficient diagram method (CDM) to design a robust controller of non-linear uncertain system, the con- trol is applied to a distributed collector field of a solar power plant based on cylindrical parabolic trough concentrators. The non-linear uncertain system is represented by two PDEs of both the...

This paper presents the application nonlinear control to regulate the rotor currents and control the active and reactive powers generated by the Doubly Fed Induction Generator used in the Wind Energy Conversion System (WECS). The proposed control strategies are based on Lyapunov stability theory and include back-stepping control (BSC) and super-twi...

This study proposes a new non‐linear positive model with distributed time‐delay describing the dynamics of leukaemic cells lineages and their levels of maturity. The dynamic model is first reformulated into coupled non‐linear equations with distributed time‐delay using an appropriate transformation of the age‐structured transport partial differenti...

This paper proposes a robust nonlinear ship course controller, under the control of which the system is globally asymptotically stabilized with high control quality. The proposed controller is synthesized by combining coefficient diagram method and command filtered backstepping based on first order filter to avoid the complex analytic derivation of...

In this paper, a full dynamic model for mobile robot with wheel slip is developed for robust navigation. The type 2 fuzzy logic controller algorithm is implemented and compared to the type 1 fuzzy controller using a differential drive wheels mobile robot (DDWMR) in the presence of wheel slipping from the perspective of control design. We present a...

The proposed manuscript presents a coefficient diagram method (CDM) controller for an electro-pneumatic system. In order to tune the controller parameters, an artificial bee colony (ABC) optimization method is applied. According to the simulation results, the optimized parameters can provide better dynamic and steady state performances and higher r...

In this paper, a new observer‐based controller is proposed for a photovoltaic DC–DC buck converter; both photovoltaic (PV) voltage and current regulation are considered. In order to deal with the complex and nonlinear PV mathematical model and adapt it to the control purpose, a hybrid PV current observer model is proposed; three modes are defined a...

This paper presents a simulation study of standalone hybrid Distributed Generation Systems (DGS) with Battery Energy Storage System (BESS). The DGS consists of Photovoltaic (PV) panels as Renewable Power Source (RPS), a Diesel Generator (DG) for power buck-up and a BESS to accommodate the surplus of energy, which may be employed in times of poor PV...

The problem of a DC-DC buck converter control to extract the maximum power from a photovoltaic (PV) system is considered in this paper. A controller is proposed based on the hybrid dynamical system approach dealing with both voltage and current control. This approach allows the system to track a desired voltage using the maximum power point trackin...

Reverse osmosis (RO) desalination technique is the most widely used technology for supplying fresh water since it offers many advantages. Developing an accurate control strategy is one of the most challenging jobs in RO desalination plant especially under uncertainties and disturbances conditions to avoid all possible system failures and damages fo...

This paper introduces an application of an Ant Colony Optimization algorithm to optimize the parameters in the design of a type of nonlinear robust control algorithm based on coefficient diagram method and backstepping strategy with nonlinear observer for the electrohydraulic servo system with supply pressure under the conditions of uncertainty and...

Objective This article presents a comparative study between the direct control for a Doubly- Fed Induction Generator (DFIG) in the healthy and faulty mode. Methods First with classical IP controller then Linear Quadratic Gaussian (LQG) controller which propose an ensemble of Linear Quadratic Regulator and Kalman filter for the state estimation. Th...

We study in this work the formation cooperative control of 3D holonomic robots group utilizing parametric and implicit properties of the desired 3D planar curve (pattern shape). This latter is considered as a closed contour and generated based on Elliptical Fourier Descriptors (EFDs). The robots control consists of two stages. Firstly, robots move...

This paper is concerned with the adaptive fault-tolerant control (FTC) problem for a class of multivariable nonlinear systems with external disturbances, modeling errors and time-varying sensor faults. The bias, drift, loss of accuracy and loss of effectiveness faults can be effectively accommodated by this scheme. The dynamic surface control (DSC)...

This paper proposes an adaptive controller for the trajectory tracking problem of vertical take‐off and landing unmanned aerial vehicles with unknown inertia and gyro‐bias, in the presence of external disturbances and actuator loss of effectiveness. To achieve our control objective, first, an a priori bounded virtual control law, providing an a pri...

On the basis of recent studies, understanding the intimate relationship between normal and leukaemic stem cells is very important in leukaemia treatment. The authors' aim in this work is to clarify and assess the effect of coexistence and interconnection phenomenon on the healthy and cancerous stem cell dynamics. To this end, they perform the analy...

This project applied Fuzzy Reinforcement Learning for Mobile Robot Navigation, sensors were fused using 2D Visual SLAM.

In this paper, we propose a robust nonlinear control design concept based on a coefficient diagram method and backstepping control, combined with a nonlinear observer for the magnetic levitation system to achieve precise position control in the existence of external disturbance, parameters mismatch with considerable variations and sensor noise in t...

The non-idealities resulting from the excitation of the paraplegic quadriceps muscle by the functional electrical stimulation (FES) make the control problem challenging. Few works addressed the control of this highly non-linear behavior where the elaborated controllers are useless in the real world. To improve the controllers’ metrics available in...

This paper presents an application of a new control based on Type 2 Fuzzy Logic Controller (T2FLC) for controlling the both powers (active, reactive) of the Doubly Fed Induction Generator (DFIG) in Wind Energy Conversion System (WECS). In addition, a comparison applied between T2FLC and a classical Type 1 Fuzzy Logic Controller (T1FLC) to the purpo...

The aim of this study is to examine the robust control design based on coefficient diagram method with backstepping control combined with an observer for position control of the flexible joint manipulator. A simulation model with stability analysis was established where the parameters of the observer-controller are tuned by means of particle swarm...

PI s Q * mes s Q r * Ω mes s Ω IP r q I r d I * r d I * r q I s s s V L 2 ω PI * r d V * r q V sr s s M V g L PI () / s r sr s g L M L − 2 ω () / s r sr s g L M L − 2 ω s sr s L M V − Abstract: In this paper the modeling of an adaptive observer which is used for the sensorless vector control of double fed induction generator (DFIG). The observer de...

The optimal sizing of a hybrid system of renewable electricity is an important phase in its design. As long as the cost of the capital equipment is the major component in the price of renewable electricity. This paper presents the application of one of the latest swarm intelligence algorithms, namely Grey Wolf Optimizer (GWO) which is inspired from...

In this work we study the electric wind turbine generator based on a Pitch system, we have modeled this turbine to show the importance of the pitch angle (β) on production of electrical energy by Double Field Induction Generator (DFIG).