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Hidden Markov Models are very efficient in speech recognition. Based on machine states, HMMs combine Bayesian probability and decision making to approximate each output to its appropriate class. In this paper, we propose to use HMMs for ECG QRS detection. We select a set of models to represent QRS complex and noise aiming to a better discrimination between them. For a total of 44510 beats of the MIT/BIH...
In this paper, both Firefly Algorithm (FA) and Genetic Algorithm (GA) are used to tune the PI controller parameters in PMSM servo system. Consequently, these algorithms are involved to find the optimized proportional-integral (PI) gains by minimizing the time domain cost function. Comparing (FA) and (GA) based controllers, it can be remarked that the first one is better than the last one which allows...
This paper aims to present an overview of the Smart HEMS and Smart heating technologies and trends. It highlights a) Objectives and results of R&D projects in the Smart Home field; b) Smart Home Energy Management Systems (Smart HEMS); c) Smart thermostat products existing on the market and scientific approaches which deal with advanced control of heating systems, more specifically the prediction...
We develop a fuzzy adaptive output-feedback control methodology for unknown nonlinear multivariable systems for which the input gains matrix is characterized by non-zero leading principle minors but not necessary symmetric. An high-gain (HG) observer is introduced to estimate the immeasurable states. A linear in parameters fuzzy system is adequately employed to model the uncertainties. A matrix factorization,...
In this research, we suggest a new fuzzy adaptive state-feedback control strategy for unknown nonlinear multivariable systems for which the input-gains matrix is not necessarily symmetric and is characterized by non-zero leading principle minors. A linearly parameterized fuzzy system is used to appropriately model the uncertainties. When designing our control scheme and studying the stability analysis,...
During the last years, in industrial process control, requirements for Continuous Emission Monitoring (CEM) have increased significantly. Most plants are investing in CEM systems in order to burn waste, obtain ISO 14000 and 18001 certification to protect operator's life. In this work, our approach describes development of a novel internet and fuzzy-based CEM system (IFCEMS). This system contains operator's...
Nowadays, the stability of power systems becomes a crucial research subject and it is very important issue for large scale systems. The transient stability of a long transmission system can be significantly realized by the excitation systems control using generally an automatic voltage regulator (AVR) and a power system stabilizer (PSS). In this paper, the improvement of the power system stability...
In Grid-Connected PV system should not be limited injecting the active power into the grid. However, it must be able to absorb or to generate sufficient reactive power for a certain amount of time according to the grid demand and maintain the grid voltage. This paper proposes sliding mode control that controls powers respectively the active and the reactive power for a Three-Phase Grid-Connected PV...
This paper presents a characterization study of the bifurcation dynamics in the multicell inverter. Firstly, the instantaneous model of two-cell multicell series inverter is studied. Then, this inverter is controlled using a discrete time digital regulator that generates the switching signals of the inverter. To highlight the chaos dynamic behavior, a discrete time nonlinear model is established based...
Nonlinear loads deteriorate power quality by drawing harmonic and reactive currents at their point of coupling. This paper proposes a predictive current control strategy applied to Shunt Active Power Filter for improving power quality. Proposed approach uses the system discrete-time model to predict the future value of the filter current for different voltage vectors. Selection of the optimal voltage...
this paper proposes a real time emulator for Photovoltaic Generator (PVG), permitting easy experimentation, for control and diagnosis algorithms tests. The DS1104 platform is utilized in order to implement the model developed in Matlab/Simulink software. The APS1102A Programmable DC/AC Power Source is utilized to emulate the current-voltage characteristics of the PVG model implemented in the DS1104...
Harmonic Control Arrays (HCA) is a technique that is based on adjusting the harmonic components of the control signal for systems with periodic references and disturbances. In this study, a microcontroller implementation of the HCA method, the algorithm, and the results has been represented. A first order system, consisting of a resistor and a capacitor has chosen as the plant, and a periodic reference...
This paper presents a Field Programmable Gate Array (FPGA) implementation of Particle Swarm Optimisation (PSO) algorithm for maximum power point tracking (MPPT). The PSO method is very effective to handle the multimodal power-voltage (P-V) curve under partial shading conditions and presents several advantages such as simple structure and good dynamic performances. The PSO method has been designed...
This paper deals with improvement of Direct Torque Control strategy for induction motor (IM) drive. Since the main disadvantages of the classical DTC are high torque/flux ripples and current distortion, this paper inserts the space vector modulation in order to reduce the ripples by maintaining a constant switching frequency. Besides, the fuzzy logic controllers will replace the traditional proportional-integral...
This paper presents a backstepping nonlinear control algorithm based on the field-oriented strategy of the induction motor drive. The control design of the IM is based on the reduced model (dedicate for the fault diagnosis) of the squirrel rotor cage in healthy state. Backstepping technique is suggested for obtaining good dynamic motion control systems by replacing the traditional PI controllers....
A Backstepping adaptive control is proposed in this paper in order to raise the extraction of power in variable speed wind turbine in region two. This wind turbine is modeled by two masses drive-train with generator torque control. By using the model obtained, an algorithm of adaptive Backstepping has been designed to achieve the global asymptotic generator with speed tracking and to estimate the...
This paper presents a new control strategy of autonomous mobile robot in running environment. The robot is considered as an individual agent aimed at executes different tasks in term of motion under constraints applied on robot structure. The flat model of Pioneer 3dx robot is developed in order to prove that the system is flat and has various helpful properties which can be exploited to build the...
This paper presents a control strategy for a flexible single-phase microgrid that can operate in grid-connected or in islanded mode. The microgrid adopted is composed of two voltage source inverters (VSIs) operated in parallel and two local nonlinear loads. This approach is based on a hierarchical structure which consists of inner, primary and secondary levels. The inner control regulates the output...
Massive Multiple-Input Multiple-Output (MIMO) is an emerging technology for the future 5G wireless communication systems and has been expected to dramatically improve the performance over the years. The main aim of this paper is to investigate the ergodic capacity of the downlink massive Multi-User (MU-MIMO) system under spatially correlated Rayleigh fading channels using two correlative models, namely...
In this article, we propose a new optimized embedded architecture based soft-core processors oriented to visual attention based object recognition applications. Our recognition approach relies mainly on two specific modules for online processing of acquired images in real-time: a novel saliency based feature detector/descriptor module and then an object classifier module. To deal with such parallel/pipeline...
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