Compression Ratio Control of an Opposed-Piston Free-Piston Engine Generator Based on Artificial Neural Networks
| Autor: | Liang Liu, Zhaoping Xu, Jinkang Lu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
compression ratio control
Variable compression ratio General Computer Science Computer science 020209 energy 020208 electrical & electronic engineering General Engineering Free-piston engine 02 engineering and technology Motion control Combustion linear generator law.invention Engine-generator Piston Control theory law Compression ratio 0202 electrical engineering electronic engineering information engineering General Materials Science lcsh:Electrical engineering. Electronics. Nuclear engineering artificial neural networks lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 8, Pp 107865-107875 (2020) |
| ISSN: | 2169-3536 |
| Popis: | Opposed-piston free-piston engine generator (FPEG), as an energy conversion device, has attracted the attention of researchers with its advantages of variable compression ratio (CR) and good dynamic balance performance. At the same time, the variable compression ratio poses a challenge to the stable operation of the engine. The controller needs to overcome the interference caused by the combustion variations to the piston movement, so that the compression ratio of the engine remains stable. This paper proposes an opposed-piston synchronous motion control strategy based on master-slave position following and a compression ratio control strategy based on artificial neural networks. A test prototype and simulation model were established, and the model was verified by the prototype. The performance of the control strategy was studied through simulation analysis. The results showed that the engine achieved stable operation and the compression ratio was well controlled. Compared with the reported control strategies in the literature, the artificial neural network algorithm applied in free-piston engine generator system shows better control accuracy and good response characteristics. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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