Optimization algorithm about guide curve of inner curve hydraulic motor

Shuaishuai Ma; Keli Xing; Xiajie Jin

doi:10.1117/12.3011510

7 December 2023 Optimization algorithm about guide curve of inner curve hydraulic motor

Shuaishuai Ma, Keli Xing, Xiajie Jin

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129410M (2023) https://doi.org/10.1117/12.3011510
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

Based on the intelligent optimization algorithm, this paper attempts to solve the complex contact stator guide curves of curve hydraulic motor. Use the Gold Algorithm (GJO) to improve the particle group algorithm (APSO) that is easy to fall into the optimal problem, and a more advantageous Golden Jackal Particle Swarm Algorithm (APSO-GJO) is obtained. By comparing the global and local optimal solution accuracy levels and convergence speeds of the three algorithms, it is proved that the improved particle swarm algorithm has excellent fast convergence and the ability to find the global optimal solution, which has a significant effect on the optimization of the contour guide curve of the equal contact stator.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shuaishuai Ma, Keli Xing, and Xiajie Jin "Optimization algorithm about guide curve of inner curve hydraulic motor", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129410M (7 December 2023); https://doi.org/10.1117/12.3011510

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