Control of shunt active power filter using soft computing techniques
| Autor: | Yadaiah Narri, Thirumoorthi Ponnusamy |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Soft computing
Scheme (programming language) Engineering Artificial neural network business.industry Mechanical Engineering Control (management) Aerospace Engineering Control engineering Fuzzy logic Active power filter Mechanics of Materials Harmonics Automotive Engineering Shunt active power filter Electronic engineering General Materials Science business computer computer.programming_language |
| Zdroj: | Journal of Vibration and Control. 20:713-723 |
| ISSN: | 1741-2986 1077-5463 |
| DOI: | 10.1177/1077546312464259 |
| Popis: | This paper presents two soft computing techniques, fuzzy logic and neural network, to design a new control scheme for switching a shunt active power filter (APF). This control scheme consists of three control loops, namely a voltage loop, current loop and reference generator. The reference current signal generated by this controller is used to generate gating pulses for APF switches. The reference generator is based on neural network or fuzzy logic. The performance of the proposed neural controller is evaluated and compared with a linear control scheme, incorporating a resonant selective linear reference generator. Simulations are carried out using Matlab Simulink and the results show that the proposed system is capable of compensating the harmonic current to a minimum level. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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