Accurate identification and position of transmission lines is critical for robots to safely and effectively perform distribution network operations. However, such tasks are often challenged by complex lighting conditi...
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This paper presents a study and analysis of a direct torque control strategy associated with a sliding mode control (DTC-SMC) without a speed sensor to control the four induction motors used for the propulsion of a fo...
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This paper introduces a design for a photovoltaic (PV) pumping system that incorporates battery bank storage. A three-port DC-DC converter (TPC) is employed to integrate the PV, battery bank, and induction motor drive...
This paper introduces a design for a photovoltaic (PV) pumping system that incorporates battery bank storage. A three-port DC-DC converter (TPC) is employed to integrate the PV, battery bank, and induction motor drive (IMD) based pumping system. The purpose of the battery bank is to provide support to the pump during shading conditions to prevent frequent suspension and down-thrust situations. Additionally, the proposed system aims to maintain the free-floating impeller operating range by imposing rotational speed limits on the pump. The input ports of the TPC consist of the PV port, which is controlled to harvest the maximum power point (MPP) using the perturb and observe technique, and the battery port. The output port is linked to a DC bus using passive rectifier to supply power to the variable speed V/F IMD. The battery port is regulated to sustain the DC bus voltage in a desired voltage range that ensures the impeller operation under free-floating conditions. The proposed system is simulated using MATLAB/Simulink software. The simulation results are discussed to evaluate the dynamic performance.
This paper proposes a combined initial alignment algorithm for strapdown inertial navigation system, in which the initial alignment is carried out in two stages during the process of preflight preparations while the a...
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The paper is devoted to study of the influence of rolling modes on the performance of powerful interconnected electric drives of a hot rolling mill under the action of an electromagnetic coupling circuit between the e...
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In the present work is investigated the impact of ambient temperature in the range of 20°C to 50°C under a change in relative humidity RH of 20% up to 92 % on the characteristics of a highly sensitive TiO 2 ...
In the present work is investigated the impact of ambient temperature in the range of 20°C to 50°C under a change in relative humidity RH of 20% up to 92 % on the characteristics of a highly sensitive TiO 2 -SiO 2 -based thin-film impedance humidity sensor element doped with Ce and prepared by a sol-gel method. The variation of sensor impedance changes in a very wide range - about 4 orders of magnitude. The sensor element is connected in a measurement circuit based on an AC bridge, a variable gain amplifier, a precision rectifier, and a microcontroller with a built-in analog-to-digital converter. The use of artificial neural networks monitoring the ambient temperature and measured voltage is proposed for the realization of the temperature compensation of the characteristics. The proposed approach allows compensating the impact of temperature and performing measurements when connecting humidity sensing elements with a very wide range of impedance change.
Wind turbines based on the Magnus effect open new prospects in terms of energy generation for areas with low average wind speeds. The main feature of these turbines is rotating cylinders which are used to create lift ...
Wind turbines based on the Magnus effect open new prospects in terms of energy generation for areas with low average wind speeds. The main feature of these turbines is rotating cylinders which are used to create lift instead of blades. Due to this unconventional design, different parameters of the cylinder, such as mass and moment of inertia, can greatly affect the dynamic characteristics of such energy systems. The goal of this paper was to present an approach to structural optimization of a cylinder flange of the experimental Magnus effect-based wind turbine. The proposed approach, presented as an algorithm, allows us to determine input data for the preferred structural optimization software and achieve lightweight, low-inertia parts. control simulation has shown that optimized parts ensure a high enough factor of safety while also significantly reducing the moment of inertia.
Due to the surface covered by the capillary wick in the high temperature heat pipe, the classical evaporation and condensation model may be difficult to characterize the evaporation process well in the high temperatur...
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Wheel speed is an important physical quantity used to implement an Antilock Brake System (ABS) in vehicles. This study uses a Variable Reluctance - Wheel Speed Sensor (VR - WSS) for wheel speed measurement, which is c...
Wheel speed is an important physical quantity used to implement an Antilock Brake System (ABS) in vehicles. This study uses a Variable Reluctance - Wheel Speed Sensor (VR - WSS) for wheel speed measurement, which is commonly used in Heavy Commercial Road Vehicles (HCRVs). However, wheel speed measurement from in-vehicle experiment results was affected by various time-varying attributes such as noise and outliers. The abovementioned physical measurement considerations are characterized through statistical measures to analyze the consequences on ABS performance. Further, these have been programmed in IPG TruckMaker ® , a vehicle dynamics simulation software and experimentally demonstrated using an HCRV Hardware-in-the-Loop (HiL) setup with ABS algorithm. The experimental results showed that the ABS performance is degraded in terms of braking distance and braking efficiency due to these practical considerations. Therefore, this study proposes an adaptive signal conditioning algorithm to address these physical considerations. It consists of an outlier treatment to handle non-synchronized arbitrary data points and an adaptive filter to handle time-varying noise signals in the measurement. The outcomes of the closed-loop HiL evaluation of the ABS algorithm integrated with the signal conditioning algorithm confirmed that the proposed method retained the ABS performance while addressing practical measurement considerations.
Continuous real-time blood pressure monitoring offers remarkable potential for the detection of cardiovascular disease. In fact, detection from an inflatable cuff makes the patient uncomfortable as a consequence of th...
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ISBN:
(数字)9798350349740
ISBN:
(纸本)9798350349757
Continuous real-time blood pressure monitoring offers remarkable potential for the detection of cardiovascular disease. In fact, detection from an inflatable cuff makes the patient uncomfortable as a consequence of the inflation pressure of the cuff on the arm, which causes failures in detecting the results or errors in interpreting the systolic blood pressure values and diastolic blood pressure. In this contribution, we present an automatic system to predict the blood pressure signal based on the complexity analysis of the ECG signal, where the features extracted are signal mobility, signal complexity, fractal dimension, entropy, and autocorrelation with the neural network approach (ANN). Our technique is mainly tested on the MIMIC-III databases available to the public on physionet to have the ECG and ABP signals for feature extraction. The results provided argue in favor of our method in terms of efficiency and precision. Indeed, the proposed approach offers the possibility of detecting arterial pressure such as systolic arterial pressure and diastolic arterial pressure in real time
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