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<p>To ensure the long-term stable operation of the downhole permanent magnet generator (DPMG) in high-temperature environments, a sequential coupling optimization methodology integrating response surface methodology (RSM) and non-dominated sorting genetic algorithm-II (NSGA-II) has been introduced to enhance the electromagnetic performance of the generator. Firstly, an electromagnetic model of the DPMG is established, and a sensitivity analysis of key factors is conducted. Then, a sequential coupling optimization algorithm is employed to optimize the electromagnetic loss, cogging torque, and no-load back electromotive force (EMF). Finally, the finite element method (FEM) is used to simulate and verify the electromagnetic performance before and after optimization. Compared with NSGA-II, the proposed optimization algorithm reduces the number of iterations and improves prediction accuracy. The optimization results demonstrate significant improvements in electromagnetic performance: cogging torque is reduced by 40.91%, core loss is decreased by 8.69%, and no-load back EMF is increased by 11.53%. This paper provides an efficient and reliable optimization design method, which significantly enhances electromagnetic performance under radial size constraints, high-temperature, and high-pressure environments, thereby improving the generator’s adaptability to downhole high temperatures and harsh working conditions.</p>

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Electromagnetic performance enhancement of a downhole permanent magnet generator using sequential coupled RSM and NSGA-II

  • 期刊论文

  • 发表日期：

    2026年5月8日

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  • Ruyi Gou,
  • Jiadong Luo,
  • Wei Luo,
  • Chuanlei Wang,
  • Zihan Ma,
  • Pengfei Sang

摘要

To ensure the long-term stable operation of the downhole permanent magnet generator (DPMG) in high-temperature environments, a sequential coupling optimization methodology integrating response surface methodology (RSM) and non-dominated sorting genetic algorithm-II (NSGA-II) has been introduced to enhance the electromagnetic performance of the generator. Firstly, an electromagnetic model of the DPMG is established, and a sensitivity analysis of key factors is conducted. Then, a sequential coupling optimization algorithm is employed to optimize the electromagnetic loss, cogging torque, and no-load back electromotive force (EMF). Finally, the finite element method (FEM) is used to simulate and verify the electromagnetic performance before and after optimization. Compared with NSGA-II, the proposed optimization algorithm reduces the number of iterations and improves prediction accuracy. The optimization results demonstrate significant improvements in electromagnetic performance: cogging torque is reduced by 40.91%, core loss is decreased by 8.69%, and no-load back EMF is increased by 11.53%. This paper provides an efficient and reliable optimization design method, which significantly enhances electromagnetic performance under radial size constraints, high-temperature, and high-pressure environments, thereby improving the generator’s adaptability to downhole high temperatures and harsh working conditions.