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This paper presents a novel control scheme based on modified Proportional-Integral-Derivative (PID) control structure and improved Integral-Proportional (IP) control strategy for controlling unstable, resonant and integrating processes. The newly proposed control structure, named αIP-PD, ensures a good compromise between the above two strategies by giving relatively quick dynamic response with little...
Metaheuristic algorithms such as Bat algorithm, is now becoming powerful algorithm to solve many tough optimization problems. In fact, it is one of the new proposed metaheuristic algorithms to perform global optimization. And it has a good performance compared to the other most famous algorithms such as particle swarm optimization (PSO) or the genetic algorithm (GA). The application of BA in this...
The Radio Frequency Micro-electromechanical system (RF MEMS) has compact geometries and are very used in Monolithic Microwave Integrate Circuit (MMIC) for different important applications with respect to their size and their effectiveness. Its effectiveness can be improved by reducing the ElectroMagnetic Interference EMI problem with better Electromagnetic compatibility EMC immunity of the component...
In this paper, a simplified speed control design of chopper fed Direct Current (DC) motor drive with single feedback control structure is proposed. First, Internal-Model-Control (IMC) is used to control speed without closed loop current control scheme. Then, an analytical method based on IMC principles is applied to design a single-loop IMC controller with a Proportional-Integral-Derivative (PID)...
For decades, the electric power grid remained the same until the advent of Distributed Generation (DG) and the spread of Information and Communication Technologies (ICTs). Besides, the ancient power grid has become ill-suited to the need of the 21st century. Accordingly, the traditional grid has witnessed radical transformations into Smart Grid. The ancient grid has become smarter and bigger, thus...
This paper investigated the problem of state and fault estimation for nonlinear discrete time systems in presence of unknown disturbances. A novel unbiased minimum variance filter (UMVF) is derived by reconstructing the non linear version of NUMV filter. In this work we assume that no prior knowledge about the dynamic of the disturbance and the fault are known. In this paper we considers that the...
In this paper a comprehensive overview of multilevel matrix converter topologies is proposed nowadays as an alternative to the traditional AC/DC/AC multilevel converters. The operation principle and characteristics of the neutral-point clamped and cascaded H-bridge multilevel matrix converters are explained in detail. Simulation results of three-level NPC sparse matrix converter are presented to study...
Dynamic inversion is a category of control design techniques that employ feedback linearization. In recent years; this technique has been applied to different types of nonlinear systems. This paper presents its usefulness with nonlinear electromechanical systems. Dynamic inversion method is employed to ensure robustness and stability of the system. Moreover, the inputs can be found and achieve high-precision...
Functional Electrical Stimulation (FES) appears as a way of extremely promising research today to solve numerous pathology connected to the deficiencies of the nervous system. It is usually used for the rehabilitation of people with neurological disorders. Generally, skeletal muscles are activated by using Constant Frequency Trains (CFTs) with a fixed amplitude and inter-pulse duration. In addition,...
In this paper, the Ant colonies optimization (ACO) algorithm is used for offline parameters identification of piezoelectric resonator. The unknown control parameters of the piezoelectric chaotic resonator are taken as a parameter vector, and will be estimated optimally for the exact values of parameters with the application of the proposed ACO algorithm. The Ant colony optimization algorithm is used...
This paper proposes an improved watershed segmentation algorithm that uses RBF Neural Networks for the segmentation of image target objects. Instead of using catchment basin minima in order to define object regions, the technique developed throughout this work deploys RBF neural networks to predict the end boundaries of the segmentation clusters which are formed from the watersheds created in the...
In this work, a detailed experimental investigation of Dye Sensitized Solar Cells measurement methods is presented. The impact of voltage scan direction was presented. Likewise, the effect of the measuring bench probes was explained. Furthermore, as Dye Sensitized Solar Cells has not a regular active area, the effect of the shadowing mask in performances measurement was investigated.
In this paper we discuss the enlargement of the Domain of Attraction (DA) of nonlinear hybrid system. Combination of LMI with Genetic Algorithms (GA) results in a sufficient enlargement of DA. A common Lyapunov function is estimated by the GA and a lower bound is computed by LMI optimization. The proposed approach is validated by a switched van der Pool system.
This paper focuses on the contribution to the realization of a real time implementation system of numerical watermarking system. We start by proposition of our model of numerical watermarking to success the implementation of a hardware system applied on image. This operation consist to decompose the original image into second level of the decomposition by the discrete wavelet transform. Our system...
Our objective in this work is to propose a novel optically controlled field effect transistor OC-FET design by using the gate engineering paradigm. Besides, analytical analysis has been conducted and investigated for the improvement of the electrical and optical criteria related to OC-FET-based applications. By using a compact modeling framework, the comparison between the proposed Dual Gate (DG)...
This paper presents a comparison between adaptive input-output linearization and adaptive fuzzy sliding mode control (FSMC) for induction motor. At first, we describe the adaptive linearization control method, which consists in the cancelling of the nonlinearities and decoupling between speed and flux of the system when Rr and TL are unknowns constants. The adaptive sliding mode control, which is...
In this paper, we present a unsed idea to control an electropneumatic system based on the Model-free control. First, we described the mathematical model of the electropneumatic system which presents a complexity and several nonlinearities. Then, the model-free control is presented, which yield a controller based on signal derivation. It is characterized by its simplicity and implementation capability...
The wind turbines integration into the electric network remains limited because of their uncertain and difficult prediction of production. This paper presents some solutions to improve the wind power integration rate in the network while maintaining its stability. The study is based on the use of regulators and FACTS (Flexible Alternating Current Transmission Systems) systems. We presented in a first...
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