scholarly journals Comparative investigation of 15 Level and 17 level cascaded h-bridge MLI with cross h-bridge MLI fed permanent magnet synchronous motor

2021 ◽  
Vol 21 (2) ◽  
pp. 723
Author(s):  
J. Srinivas Rao ◽  
Suresh Kumar Tummala ◽  
Narasimha Raju Kuthuri
Keyword(s):  
Permanent Magnet ◽  
High Voltage ◽  
Output Voltage ◽  
Permanent Magnet Synchronous Motor ◽  
Harmonic Distortion ◽  
Synchronous Motor ◽  
Comparative Investigation ◽  
Multilevel Inverters ◽  
Series Configuration ◽  
Switching Devices

Multilevel inverters offers eminent solutions to high voltage high power applications due to the association of several devices in a series configuration. In this paper, a comparative investigation of both 15 and 17 level cascaded h-bridge multi level inverter with cross h-bridge fed permanent magnet synchronous motor are presented by appropriate simulations and mathematical analysis. Comparative analysis includes Inverter output voltage and current, number of switching devices, stator current and speed of PMSM and total harmonic distortion levels. Limitation of several switching devices, which can afford high voltage in the inverter is the major problems raised in this study. The advantage of this analysis is to figure out the appropriate inverter that can be used for real time application by considering the factors via. Harmonic distortion, output voltage, current, number of switching devices etc. Validation of the analysis is processed through matlab/simulink platform.

scholarly journals Novel Switching Design Structure for Three Phase 21-Level Multilevel Inverter Fed BLDC Drive Application

2018 ◽  
Vol 9 (3) ◽  
pp. 1202 ◽  
Author(s):  
Srinivas Rao Janiga ◽  
P. Srinivasa Varma ◽  
T. Suresh Kumar
Keyword(s):  
High Voltage ◽  
Simulation Analysis ◽  
Multilevel Inverter ◽  
Voltage Profile ◽  
Multilevel Inverters ◽  
Design Structure ◽  
Three Phase ◽  
Series Configuration ◽  
Inverter Topology ◽  
Switching Devices

Multilevel Inverters offers eminent solutions to high voltage high power applications due to the association of several devices in a series configuration. This is moderate because of getting superior quality voltage waveform when using multilevel inverters as compared to form two-level inverters. Most of the problems raised in this study are the restriction of many switching devices, which can afford high voltage are preferred in the inverter. Here, a novel multilevel inverter topology with no transformers, less number of switching devices and gate drive circuits are proposed. The proposed inverter topologies can valid more voltage levels with favorable advantages such as less number of switching devices and gate driving circuits and also reduce to humble size, agreeable voltage profile. In this paper multilevel converter fed BLDC drive with different voltage levels and simulation analysis is presented. The validity of the proposed three-phase 21-level multilevel inverter fed to BLDC motor drive scheme is verified through Matlab/Simulink Platform.

scholarly journals Fifteen Level Cross H Bridge Multilevel Inverter Fed PMSM

2019 ◽  
Vol 8 (11) ◽  
pp. 1194-1198 ◽  
Keyword(s):  
Modeling And Simulation ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Harmonic Distortion ◽  
Synchronous Motor ◽  
Multilevel Inverter ◽  
Switching Losses ◽  
Three Phase

Modeling and simulation of fifteen level cross H bridge multilevel(ML) inverter fed three-phase PMSM presented in this paper. In order to overcome the setbacks of an inverter via switching losses and harmonic disturbance, Cross H bridge MLI topology is developed. The number of switches and DC voltages considered in this model are much inferior to other inverter topologies. The topology presented in the paper has better output and lower harmonic distortion (THD). Also, Permanent Magnet Synchronous Motor (PMSM) have significant advantages over other drives. Analysis and Simulations of 5,9 and 15 levelcross H bridge MLI were performed and presented.

scholarly journals A novel direct torque and flux control of permanent magnet synchronous motor with analytically-tuned PI controllers

2021 ◽  
Vol 12 (4) ◽  
pp. 2103
Author(s):  
Kenneth Odo ◽  
Chibuike Ohanu ◽  
Ifeanyi Chinaeke-Ogbuka ◽  
Augustine Ajibo ◽  
Cosmas Ogbuka ◽  
...  
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Harmonic Distortion ◽  
Constant Load ◽  
Synchronous Motor ◽  
Excellent Performance ◽  
Flux Control ◽  
Pi Controllers ◽  
Torque Ripples

<span lang="EN-US">This work presents a novel direct torque and flux control (DTFC) of permanent magnet synchronous motor (PMSM) with analytically-tuned proportional integral (PI) controllers. The proportional (K_p) and integral (K_i) gains of the PI controllers were accurately determined, from first principle, using the model of the control system. The PI flux and torque controllers were then developed in rotor reference frame. The designed PI controllers, together with the torque and flux controllers, were tested on a permanent magnet synchronous motor (PMSM). The results obtained were compared with results from conventional DTFC system using manually-tuned PI controllers. The total harmonic distortion (THD) of motor phase currents is 18.80% and 4.81% for the conventional and proposed models respectively. This confirms a significant reduction in torque ripples. The control system was tested for step torque loading and found to offer excellent performance both during load changes, speed reversal, and constant load conditions.</span>

scholarly journals Interior Permanent Magnet Synchronous Motor Drive System with Machine Learning-Based Maximum Torque per Ampere and Flux-Weakening Control

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 346
Author(s):  
Faa-Jeng Lin ◽  
Yi-Hung Liao ◽  
Jyun-Ru Lin ◽  
Wei-Ting Lin
Keyword(s):  
Machine Learning ◽  
Permanent Magnet ◽  
Output Voltage ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Drive System ◽  
Maximum Torque ◽  
Interior Permanent Magnet ◽  
Maximum Torque Per Ampere ◽  
Flux Weakening

An interior permanent magnet synchronous motor (IPMSM) drive system with machine learning-based maximum torque per ampere (MTPA) as well as flux-weakening (FW) control was developed and is presented in this study. Since the control performance of IPMSM varies significantly due to the temperature variation and magnetic saturation, a machine learning-based MTPA control using a Petri probabilistic fuzzy neural network with an asymmetric membership function (PPFNN-AMF) was developed. First, the d-axis current command, which can achieve the MTPA control of the IPMSM, is derived. Then, the difference value of the dq-axis inductance of the IPMSM is obtained by the PPFNN-AMF and substituted into the d-axis current command of the MTPA to alleviate the saturation effect in the constant torque region. Moreover, a voltage control loop, which can limit the inverter output voltage to the maximum output voltage of the inverter at high-speed, is designed for the FW control in the constant power region. In addition, an adaptive complementary sliding mode (ACSM) speed controller is developed to improve the transient response of the speed control. Finally, some experimental results are given to demonstrate the validity of the proposed high-performance control strategies.

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