Research on gas drainage pump system based on swarm intelligence algorithm

Yunfeng Ni; Yanan Dong

doi:10.1117/12.2645943

23 August 2022 Research on gas drainage pump system based on swarm intelligence algorithm

Yunfeng Ni, Yanan Dong

Proceedings Volume 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022); 123050F (2022) https://doi.org/10.1117/12.2645943
Event: International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 2022, Hangzhou, China

Abstract

Taking the gas extraction pump system as the research object, an improved SOA algorithm is proposed and applied to the model identification of the system, and then the identification accuracy of the system is verified and analyzed under different working conditions. ISOA algorithm solves the problem that it is easy to fall into local optimal value in the later stage of the algorithm, and will not increase the complexity of the algorithm. Compared with the standard SOA algorithm, the ISOA algorithm has higher convergence accuracy and faster convergence speed; and has stronger all search ability. Under shutdown condition, the results show that the maximum relative error is 7.62%, and the average relative error is 1.48%. It shows that the simulation results of the model are in good agreement with the actual data, and the method of using ISOA algorithm to identify the gas extraction pump model is reliable and effective.

Citation Download Citation

Yunfeng Ni and Yanan Dong "Research on gas drainage pump system based on swarm intelligence algorithm", Proc. SPIE 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 123050F (23 August 2022); https://doi.org/10.1117/12.2645943

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