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Artificial neural network based voltage controller for the single phase true sine wave inverter – a repetitive control approach
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ufnalski, Bartlomiej Grzesiak, Lech M. |
| Copyright Year | 2013 |
| Abstract | The paper presents novel error backpropagation based neurocontroller for true sine wave inverter. The controller is trained in on-line mode. Adaptation algorithm takes into account repetitiveness of the process to be controlled. The cost function evaluates performance of the controller over the whole period of the reference signal and the weights are updated only once a period of this signal. A model-free concept is employed and hence no neural (or of any other type) model of the plant is needed. Proposed topology does not limit its area of implementation to the discussed converter. The controller is capable to maintain a high-quality output voltage waveform in the presence of periodic disturbance caused by |
| Starting Page | 14 |
| Ending Page | 18 |
| Page Count | 5 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://pe.org.pl/articles/2013/4/3.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
