Modeling and Optimization for Submersible Pump Tubular Linear Motor Based on Dynamic Load Analysis
The structure of a submersible permanent magnet tubular linear motor (SPPMTLM) can significantly affect its load spectrum. However, the existing models do not account for this effect. This study proposes an advanced SPPMTLM model that incorporates these considerations, offering enhanced accuracy and...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10731696/ |
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| Summary: | The structure of a submersible permanent magnet tubular linear motor (SPPMTLM) can significantly affect its load spectrum. However, the existing models do not account for this effect. This study proposes an advanced SPPMTLM model that incorporates these considerations, offering enhanced accuracy and practicality. First, a dynamic sub-model of the SPPMTLM was developed to elucidate the dynamic load spectrum during one working cycle. Subsequently, a one-dimensional analytical sub-model and a lumped-parameter thermal network sub-model of the SPPMTLM were established to calculate the electromagnetic and thermal performance. The proposed model utilizes the Newton-Raphson method to address the nonlinear equations derived from the integration of the three constituent sub-models. This approach enables a detailed analysis of the coupling relationships among the stress, fluid, thermal, and electromagnetic fields. Based on the proposed model, the impacts of the motor structural parameters, materials, and operating conditions on the electricity consumption per ton of fluid were analyzed. Furthermore, the particle swarm optimization algorithm was applied to the proposed model to optimize the SPPMTLM performance under different well fluid supply capacities. Finally, prototype and field experimental validations are conducted to verify the accuracy and practicality of the proposed method. |
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| ISSN: | 2169-3536 |