26 research outputs found
PROCEEDINGS 5th PLATE Conference
The 5th international PLATE conference (Product Lifetimes and the Environment) addressed product lifetimes in the context of sustainability. The PLATE conference, which has been running since 2015, has successfully been able to establish a solid network of researchers around its core theme. The topic has come to the forefront of current (political, scientific & societal) debates due to its interconnectedness with a number of recent prominent movements, such as the circular economy, eco-design and collaborative consumption. For the 2023 edition of the conference, we encouraged researchers to propose how to extend, widen or critically re-construct thematic sessions for the PLATE conference, and the paper call was constructed based on these proposals. In this 5th PLATE conference, we had 171 paper presentations and 238 participants from 14 different countries. Beside of paper sessions we organized workshops and REPAIR exhibitions
Industrial and Technological Applications of Power Electronics Systems
The Special Issue "Industrial and Technological Applications of Power Electronics Systems" focuses on: - new strategies of control for electric machines, including sensorless control and fault diagnosis; - existing and emerging industrial applications of GaN and SiC-based converters; - modern methods for electromagnetic compatibility. The book covers topics such as control systems, fault diagnosis, converters, inverters, and electromagnetic interference in power electronics systems. The Special Issue includes 19 scientific papers by industry experts and worldwide professors in the area of electrical engineering
Sliding Mode Control
The main objective of this monograph is to present a broad range of well worked out, recent application studies as well as theoretical contributions in the field of sliding mode control system analysis and design. The contributions presented here include new theoretical developments as well as successful applications of variable structure controllers primarily in the field of power electronics, electric drives and motion steering systems. They enrich the current state of the art, and motivate and encourage new ideas and solutions in the sliding mode control area
Commande directe du couple appliquée à une machine à reluctance commutée à trois phases
Le moteur Ă reluctance commutĂ©e (SRM) est connu pour sa conception simple, sans aimants permanents, bobinage au rotor et son bas cout de production et une bonne robustesse qui lui confĂšre conception, mĂȘme sous la perte dâune phase ou de plus et dâopĂ©rer dans un environnement industriel trĂšs contraignant. NĂ©anmoins ce moteur prĂ©sente de nombreux inconvĂ©nients due Ă sa double saillance polaire, ses caractĂ©ristiques magnĂ©tiques et un couple de sortie hautement non linĂ©aires trĂšs instable et qui prĂ©sente de fortes perturbations. La double saillance du moteur ne permettant pas dâexciter ce dernier par une alimentation CA conventionnelle et de commander ce moteur utilisant la thĂ©orie des champs tournants. En outre, en raison des caractĂ©ristiques de sortie de couple non linĂ©aires du moteur, une ondulation Ă couple Ă©levĂ© est inhĂ©rente au moteur, sauf si une stratĂ©gie de rĂ©duction de lâondulation de couple est utilisĂ©e. Afin de parer Ă la non linĂ©aritĂ© du couple de sortie et de diminuer les fortes perturbations de couple, plusieurs techniques ont Ă©tĂ© utilisĂ©es. La technique de contrĂŽle du couple direct (DTC) est une excellente technique qui a donnĂ© de bons rĂ©sultats pour ce type de moteur, et pour ce faire notre travail peut ĂȘtre considĂ©rĂ©e comme une contribution Ă lâamĂ©lioration de la DTC. Nous considĂ©rons spĂ©cifiquement le remplacement des rĂ©gulateurs Ă hystĂ©rĂ©sis par ceux utilisant les techniques dâintelligence artificielle (logique floue, rĂ©seaux de neurones et neuro-flou), avec une concentration plus prononcĂ©e pour la technique de rĂ©gulation par logique floue avec une structure Takagi-Sugeno comme le cĆur de notre travail. Pour finir, nous avons utilisĂ© la commande adaptative pour varier les paramĂštres du rĂ©gulateur flou en temps rĂ©el lors de perturbations paramĂ©triques du SRM et notamment pour parer Ă la variation de la rĂ©sistance statorique. La loi de contrĂŽle et la loi adaptative dĂ©veloppĂ©es, garantissent que tous les signaux dans le systĂšme en boucle fermĂ©e sont limitĂ©s en amplitude, alors que la conception du contrĂŽleur est basĂ©e sur la synthĂšse de Lyapunov.Switched Reluctance (RS) Motors have an intrinsic simplicity and low cost that makethem well suited to many applications. Furthermore, the motors have a high robustness due to the ability to operate with the loss of one or more motor phases and are thus well suited to operate in harsh industrial environments. However, the motor has many drawbacks due to the motorâs doubly salient structure as well as highly non-linear torque output and magnetization characteristics. The double salient structure leads to the inability to excite the motor using conventional ac motor rotating field theory to the motor. Furthermore, due to the motorâs non-linear torque output characteristics, a hightorque ripple is inherent in the motor unless a torque ripple reduction strategy is employed. to overcome the non-linearity of the output torque and reduce torque ripple,several techniques have been developed. Direct torque control (DTC) is an excellent technique which has had good results for this type of motor. our work, is a contribution to the improvement of the DTC by the substitution of the hysteresis regulators by thoseusing artificial intelligence techniques (fuzzy logic, neural networks and neuro-fuzzy), with a more pronounced concentration in our study for fuzzy logic regulation technique with Takagi-Sugeno structure. Finally, we used the adaptive control to vary the fuzzy regulator parameters in real time during parametric disturbance of the SRM and especially during stator resistance variation. The control law and the adaptive law developed guarantee the delimitation of all the signals in the closed-loop system and the controller design is made according to Lyapunov's synthesi
Engineering Education and Research Using MATLAB
MATLAB is a software package used primarily in the field of engineering for signal processing, numerical data analysis, modeling, programming, simulation, and computer graphic visualization. In the last few years, it has become widely accepted as an efficient tool, and, therefore, its use has significantly increased in scientific communities and academic institutions. This book consists of 20 chapters presenting research works using MATLAB tools. Chapters include techniques for programming and developing Graphical User Interfaces (GUIs), dynamic systems, electric machines, signal and image processing, power electronics, mixed signal circuits, genetic programming, digital watermarking, control systems, time-series regression modeling, and artificial neural networks
Recent Development of Hybrid Renewable Energy Systems
Abstract: The use of renewable energies continues to increase. However, the energy obtained from renewable resources is variable over time. The amount of energy produced from the renewable energy sources (RES) over time depends on the meteorological conditions of the region chosen, the season, the relief, etc. So, variable power and nonguaranteed energy produced by renewable sources implies intermittence of the grid. The key lies in supply sources integrated to a hybrid system (HS)
Application of Optimal Switching Using Adaptive Dynamic Programming in Power Electronics
In this dissertation, optimal switching in switched systems using adaptive dynamic programming (ADP) is presented. Two applications in power electronics, namely single-phase inverter control and permanent magnet synchronous motor (PMSM) control are studied using ADP. In both applications, the objective of the control problem is to design an optimal switching controller, which is also relatively robust to parameter uncertainties and disturbances in the system. An inverter is used to convert the direct current (DC) voltage to an alternating current (AC) voltage. The control scheme of the single-phase inverter uses a single function approximator, called critic, to evaluate the optimal cost and determine the optimal switching. After offline training of the critic, which is a function of system states and elapsed time, the resulting optimal weights are used in online control, to get a smooth output AC voltage in a feedback form. Simulations show the desirable performance of this controller with linear and nonlinear load and its relative robustness to parameter uncertainty and disturbances. Furthermore, the proposed controller is upgraded so that the inverter is suitable for single-phase variable frequency drives. Finally, as one of the few studies in the field of adaptive dynamic programming (ADP), the proposed controllers are implemented on a physical prototype to show the performance in practice. The torque control of PMSMs has become an interesting topic recently. A new approach based on ADP is proposed to control the torque, and consequently the speed of a PMSM when an unknown load torque is applied on it. The proposed controller achieves a fast transient response, low ripples and small steady-state error. The control algorithm uses two neural networks, called critic and actor. The former is utilized to evaluate the cost and the latter is used to generate control signals. The training is done once offline and the calculated optimal weights of actor network are used in online control to achieve fast and accurate torque control of PMSMs. This algorithm is compared with field-oriented control (FOC) and direct torque control based on space vector modulation (DTC-SVM). Simulations and experimental results show that the proposed algorithm provides desirable results under both accurate and uncertain modeled dynamics