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Fault Diagnosis and Tolerant Control for Three-Level T-Type Inverters
| Content Provider | MDPI |
|---|---|
| Author | Chao, Kuei-Hsiang Chang, Long-Yi Hung, Chien-Chun |
| Copyright Year | 2022 |
| Description | This paper proposes a fault diagnosis system for inverters based on a cerebellar model articulation controller (CMAC). First, a three-level T-type inverter was implemented and used to create a three-level T-type inverter test environment for measuring the output voltage waveforms of faulty power transistors on the main inverter circuit under different output frequencies. The measured waveforms were processed using a fast Fourier transform (FFT) algorithm to create frequency spectrum diagrams and extract the characteristic spectra of corresponding faulty switches. Then, the associations of the spectra were determined and applied as training data for the CMAC to detect the positions of the faulty power transistors. The test results demonstrated that the proposed induction motor fault diagnosis system is capable of fast algorithm, requires less data to train, and has excellent accuracy of identification, with an error margin of ±5%. The detection results were then processed using a fault-tolerant controller (FTC) to enhance the reliability of the proposed system. Finally, some simulations and experimental results were conducted and analyzed to validate the feasibility of the proposed FTC system. |
| Starting Page | 2496 |
| e-ISSN | 20799292 |
| DOI | 10.3390/electronics11162496 |
| Journal | Electronics |
| Issue Number | 16 |
| Volume Number | 11 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-08-10 |
| Access Restriction | Open |
| Subject Keyword | Electronics Industrial Engineering Cerebellar Model Articulation Controller T-type Inverter Characteristic Spectrum Fault Diagnosis Fault-tolerant Control |
| Content Type | Text |
| Resource Type | Article |
