scholarly journals Asymmetric Multilevel Inverter Topology and Its Fault Management Strategy for High-Reliability Applications

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4302
Author(s):  
Mohammad Fahad ◽  
Mohd Tariq ◽  
Adil Sarwar ◽  
Mohammad Modabbir ◽  
Mohd Aman Zaid ◽  
...  

As the applications of power electronic converters increase across multiple domains, so do the associated challenges. With multilevel inverters (MLIs) being one of the key technologies used in renewable systems and electrification, their reliability and fault ride-through capabilities are highly desirable. While using a large number of semiconductor components that are the leading cause of failures in power electronics systems, fault tolerance against switch open-circuit faults is necessary, especially in remote applications with substantial maintenance penalties or safety-critical operation. In this paper, a fault-tolerant asymmetric reduced device count multilevel inverter topology producing an 11-level output under healthy conditions and capable of operating after open-circuit fault in any switch is presented. Nearest-level control (NLC) based Pulse width modulation is implemented and is updated post-fault to continue operation at an acceptable power quality. Reliability analysis of the structure is carried out to assess the benefits of fault tolerance. The topology is compared with various fault-tolerant topologies discussed in the recent literature. Moreover, an artificial intelligence (AI)-based fault detection method is proposed as a machine learning classification problem using decision trees. The fault detection method is successful in detecting fault location with low computational requirements and desirable accuracy.

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 98
Author(s):  
Mohammad Fahad ◽  
Marwan Alsultan ◽  
Shafiq Ahmad ◽  
Adil Sarwar ◽  
Mohd Tariq ◽  
...  

The extensive employment of power semiconductor devices in multilevel inverters (MLIs) has the consequence of increased failure probabilities. With numerous applications demanding highly reliable inverters, several fault-tolerant schemes have been devised to address switch open-circuit faults. This paper analyzes a multilevel inverter topology for IGBT modules undergoing open-circuit faults, a major impediment to reliable operation within a power converter. Reconfiguration of modulation is performed post-fault. A modulation scheme is implemented across failure modes as a hybrid of nearest level control and selective harmonic elimination. Reliability assessment of the topology is performed, including a comparison with previous literature in terms of component requirements and reliability. Simulation results validate the proposed solutions.


Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3099
Author(s):  
Mohd Asif ◽  
Mohd Tariq ◽  
Adil Sarwar ◽  
Md Reyaz Hussan ◽  
Shafiq Ahmad ◽  
...  

Multilevel inverters (MLIs) are used on a large scale because they have low total harmonic distortion (THD) and low voltage stress across the switches, making them ideal for medium- and high-power applications. The authenticity of semiconductor devices is one of the main concerns for these MLIs to operate properly. Due to the large number of switches in multilevel inverters, the possibility of a fault also arises. Hence, a reliable five-level inverter topology with fault-tolerant ability has been proposed. The proposed topology can withstand an open-circuit (OC) fault caused when any single switch fails. In comparison to typical multilevel inverters, the proposed topology is fault-tolerant and reliable. The simulation of the proposed topology is conducted in MATLAB-Simulink and PLECS software packages, and the results obtained for normal pre-fault, during-fault, and after-fault conditions are discussed. Experimental results also prove the proposed cell topology’s robustness and effectiveness in tolerating OC faults across the switches. Furthermore, a thorough comparison is provided to demonstrate the proposed topology’s superiority compared to recently published topologies with fault-tolerant features.


Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1023
Author(s):  
Arigela Satya Veerendra ◽  
Akeel A. Shah ◽  
Mohd Rusllim Mohamed ◽  
Chavali Punya Sekhar ◽  
Puiki Leung

The multilevel inverter-based drive system is greatly affected by several faults occurring on switching elements. A faulty switch in the inverter can potentially lead to more losses, extensive downtime and reduced reliability. In this paper, a novel fault identification and reconfiguration process is proposed by using discrete wavelet transform and auxiliary switching cells. Here, the discrete wavelet transform exploits a multiresolution analysis with a feature extraction methodology for fault identification and subsequently for reconfiguration. For increasing the reliability, auxiliary switching cells are integrated to replace faulty cells in a proposed reduced-switch 5-level multilevel inverter topology. The novel reconfiguration scheme compensates open circuit and short circuit faults. The complexity of the proposed system is lower relative to existing methods. This proposed technique effectively identifies and classifies faults using the multiresolution analysis. Furthermore, the measured current and voltage values during fault reconfiguration are close to those under healthy conditions. The performance is verified using the MATLAB/Simulink platform and a hardware model.


2015 ◽  
Vol 764-765 ◽  
pp. 740-746
Author(s):  
Hang Yuan ◽  
Chen Lu ◽  
Ze Tao Xiong ◽  
Hong Mei Liu

Fault detection for aileron actuators mainly involves the enhancement of reliability and fault tolerant capability. Considering the complexity of the working conditions of aileron actuators, a fault detection method for an aileron actuator under variable conditions is proposed in this study. A bi-step neural network is utilized for fault detection. The first neural network, which is employed as the observer, is established to monitor the aileron actuator and generate the residual error. The other neural network generates the corresponding adaptive threshold synchronously. Faults are detected by comparing the residual error and the threshold. In considering of the variable conditions, aerodynamic loads are introduced to the bi-step neural network. The training order spectrums are designed. Finally, the effectiveness of the proposed scheme is demonstrated by a simulation model with different faults.


2020 ◽  
Vol 13 (18) ◽  
pp. 4291-4303
Author(s):  
Sai Krishna Saketi ◽  
Pradyumn Chaturvedi ◽  
Dharmendra Yadeo ◽  
Dipesh Atkar

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