In this paper, we have developed a feedforward neural networks to detect and to diagnosis rotor fault on induction motors using stator currents. In the first step, causes and effects of rotor fault have been studied, ...
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In this paper, we have developed a feedforward neural networks to detect and to diagnosis rotor fault on induction motors using stator currents. In the first step, causes and effects of rotor fault have been studied, particularly, the number of broken bars has been considered. Then, in the second step, the number of broken rotor bars has been localized by Artificial Neural Networks (ANN), using the Fast Fourier Transform. Simulation results show that the Neural Network proposed approach presents a good tools for the diagnostic of induction machines.
To govern perfectly the MIMO(Multi-Input Multi-Output) processes,a fully populated matrix controller has been proposed due to its *** non diagonal quantitative feedback theory approach is used with CRONE control struc...
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To govern perfectly the MIMO(Multi-Input Multi-Output) processes,a fully populated matrix controller has been proposed due to its *** non diagonal quantitative feedback theory approach is used with CRONE control structure taking into account the plant *** to the fractional derivation order,the control loop frequency
A new approach to path tracking based on fractional prefilter was developed in this *** previous works,this approach based on a Frequency Band Limited Fractional Differentiator(FBLFD)prefilter,with the position contro...
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A new approach to path tracking based on fractional prefilter was developed in this *** previous works,this approach based on a Frequency Band Limited Fractional Differentiator(FBLFD)prefilter,with the position control,has been *** permits the generation of optimal movement reference input leading to aminimum path completion
In this paper we investigate the leader follower motton coordination of multiple nonholonomic mobile robots. A combination of the virtual vehicle and trajectory tracking approach is used to derive the formation archit...
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This paper proposes a new approach which combines unsupervised and supervised learning for training recurrent neural networks (RNNs). In this approach, the weights between input and hidden layers were determined accor...
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This paper proposes a new approach which combines unsupervised and supervised learning for training recurrent neural networks (RNNs). In this approach, the weights between input and hidden layers were determined according to an unsupervised procedure relying on the Kohonen algorithm and the weights between hidden and output layers were updated according to a supervised procedure based on dynamic gradient descent method. The simulation results show that the proposed method performs well in comparison with the back propagation through time algorithm.
This work describes a visual odometry by minimizing a quadrifocal constraint in order to calculate the position of an autonomous vehicle (Cycab). This method can also reject outliers corresponding to moving objects su...
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This work describes a visual odometry by minimizing a quadrifocal constraint in order to calculate the position of an autonomous vehicle (Cycab). This method can also reject outliers corresponding to moving objects such as occlusions and illumination changes. An iterative non-linear trajectory estimation approach is formulated and it is based on a quadrifocal relationship between the image intensities within adjacent views of the stereo pair. The technique is applied to recovering the trajectory of a moving vehicle in a video sequence.
In this work, we took the analysis of neural interactions change in M1 of a monkey during the adaptation process for it to complete reach-to-grasp tasks with external perturbation across days. BN model was applied to ...
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The aim of the paper is to assess the feasibility of impedance measurements for meat aging detection. The carried investigations are dedicated to the aging of the meat of beef. An investigation was carried out for the...
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The aim of the paper is to assess the feasibility of impedance measurements for meat aging detection. The carried investigations are dedicated to the aging of the meat of beef. An investigation was carried out for the detection of the age of meat using 2 cases of storage in the fridge, unpacked meat, exposed in the air of the fridge (Up) and vacuum-packed meat, conserved in closed box (Vp). The measurements show a depressed semicircle in the admittance plane similar to the equivalent circuit consisting of a combination of a Constant Phase Element (CPE) and two resistors. The resistance R E various is directly proportional to meat volume resistivity. The volume resistivity is constant for Vp meat, this is due to the conservation of the same situation in the surface of contact with the electrode, this situation change for the Up meat, the volume resistivity is increasing in a linear way because the surface of contact with electrode become more dry over time. The change due to R ct is inversely proportional to the factor number of electrons involved and exchange current. The factor n.i 0 decreases over time for the Up meat, This is consistent because when the meat becomes drier, the loss of liquids causes the decrease of conductivity and proportionally the decrease of the number of electrons involved and the exchange current. For the second case (Vp), the humidity causes the decrease of the number of electrons involved and the exchange current. The impedance is inversely proportional to the double layer capacitance that is consistent with the experiments. The impedance increase for the Up meat and decrease in the second case. The change due to Cdl is directly proportional to the change of meat permittivity ε r .
This paper presents two strategies of nonlinear predictive control based on a Takagi-Sugeno fuzzy model. The first one introduces a fuzzy logic-based modeling methodology, where a nonlinear system is divided into a nu...
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This paper presents two strategies of nonlinear predictive control based on a Takagi-Sugeno fuzzy model. The first one introduces a fuzzy logic-based modeling methodology, where a nonlinear system is divided into a number of linear subsystems. So the linear model based predictive control (MPC) technique is used for each subsystem. In the second one, the fuzzy model is considered as a nonlinear model of the system and the control signal is obtained by minimizing either the cumulative differences or the instant difference between set-point and fuzzy model output. The efficiency of these two fuzzy model predictive control (FMPC) approaches is demonstrated through two examples.
In this paper, we propose a design of a current controlled Quadrature Sinusoidal Oscillator. The proposed circuit employs three optimized Multi-output translinear second generation current conveyer (MCCII). The oscill...
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In this paper, we propose a design of a current controlled Quadrature Sinusoidal Oscillator. The proposed circuit employs three optimized Multi-output translinear second generation current conveyer (MCCII). The oscillation condition and the oscillation frequency are independently controllable. The proposed Quadrature Oscillator frequency can be tuned in the range of [198 MHz –261 MHz] by a simple variation of a DC current. PSpice simulation results are performed using CMOS 0.35 μm process of AMS.
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