54 research outputs found
A Complete Online Solution of Harmonic Elimination PWM Method Using Modified-Equilibrium Optimizer-Levenberg- Marquardt Algorithm
Submodule Voltage Estimation Scheme in Modular Multilevel Converters with Reduced Voltage Sensors Based on Kalman Filter Approach
This paper presents a new voltage estimation method for the submodule (SM) capacitor in a modular multilevel converter (MMC). The proposed method employs a Kalman filter (KF) algorithm to estimate the SM voltages of the converter. Compared with sensor-based methods, this scheme requires only one voltage sensor to achieve the voltage-balancing of the converter. This sensor is connected to the total arm voltage; the proposed algorithm requires also the switching patterns of each upper SM switch which are provided by the controller used without the need for extra sensors. The substantial reduction in the number of voltage sensors improves the system reliability and decreases its cost and complexity. Extensive simulation and experimental analyses carried out to validate the proposed estimation scheme under different conditions include steady-state analyses, the effect of variations in capacitance and inductance, of the impact of low carrier and effective switching frequency on the accuracy of the estimation, step changes to the load, and a range changes in DC voltage. The results obtained are experimentally verified using a single-phase MMC
Capacitor Voltage Estimation Scheme with Reduced Number of Sensors for Modular Multilevel Converters
This paper presents a new method to measure the voltage across the submodule (SM) capacitors in a modular multilevel converter (MMC). The proposed technique requires only one voltage sensor per arm. This reduces the number of sensors required compared to conventional sensor-based methods. Therefore, the cost and complexity of the system are reduced, which in turn improves the converter’s overall reliability. The proposed method employs an exponentially weighted recursive least square (ERLS) algorithm to estimate the SM capacitor voltages through the measured total arm voltage and the switching patterns of each SM. There is thus no need for extra sensors to measure these control signals as they are directly provided from the controller. The robustness of the proposed method is confirmed via introducing deviations for the capacitance values, dynamic load changes, DC voltage change and start-up transient condition. Simulation and experimentally validated results based on a single-phase MMC show the effectiveness of the proposed method in both, steady-state and dynamic operations
Single-Phase Charging of Six-Phase Integrated On-Board Battery Charger using Predictive Current Control
This work was achieved by the financial support of ITIDAs ITAC collaborative funded project under the category type of advanced research projects (ARP) and Grant Number ARP2020.R29.7.This work was achieved by the financial support of ITIDAs ITAC collaborative funded project under the category type of advanced research projects (ARP) and Grant Number ARP2020.R29.7.Integrated On-Board Battery Chargers (IOBCs) have shown promise as an elegant charging solution for electric vehicles in recent literature. Although the three-phase charging technique of IOBCs has extensively been discussed in the literature, single-phase charging is still a challenging research topic. The Predictive Current Control (PCC) approach has shown many benefits, including a straightforward algorithm, simple implementation, comparatively quick response, and appropriate performance, when compared to conventional control techniques. This paper investigates the impact of single-phase charging of a six-phase-based IOBC system with different winding configurations using PCC, which, up to the best authors’ knowledge, has not been conceived thus far. Under single-phase charging, the zero-sequence current component is utilized to ensure zero torque production during charging mode. Since the impedance of the zero subspace is highly affected by the employed winding design, the performance of PCC with different winding layouts of either induction machine (IM) or permanent magnet synchronous machine (PMSM) is investigated and compared. The proposed method is experimentally validated using a 1.1kW six-phase IM and a 2 kW 12-slot/10-pole PMSM. Finite Element analysis is also carried out to investigate the effect of single-phase charging mode on the induced radial forces and vibration level when PM machine is employed
Inter-turn Short Circuit Stator Fault Identification for Induction Machines using Computational Intelligence Algorithms
System identification of a DC-DC converter system using a fast affine projection algorithm
Single-phase rectifier circuit with output voltage enhancement for automotive generators
Induction machine Winding Faults Identification using Bacterial Foraging Optimization technique
A permanent-magnet machine with improved torque density based on a single layer winding layout for electric vehicle applications
This paper proposes a novel single layer winding layout for a permanent magnet machine with improved torque density for electric vehicle applications. In this paper, two permanent-magnet (PM) machines with outer rotors and single layer fractional slot concentrated windings are compared based on two different slot/pole combinations, namely 20 slots/18 poles and 20 slots/22 poles. The two machines are inherently five-phase machines; however, a winding layout is employed to create three-phase stator terminals. Hence, the proposed machines exploit the advantages of multiphase machines while providing three phase terminals allowing for standard three-phase converters. Two machines are designed with same rotor and stator dimensions and same stator winding layout but with different number of rotor poles. The comparison is carried out using finite element analysis.NPRP grant NPRP (4-941-2-356) from the Qatar National Research Fund (a member of Qatar Foundation).Scopu
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