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Enhanced hippopotamus optimization algorithm for tuning proportional–integral–derivative controllers
Regular Papers | Updated：2025-09-04

    • Enhanced hippopotamus optimization algorithm for tuning proportional–integral–derivative controllers

      Enhanced Publication
    • 用于调节比例—积分—微分控制器的增强型河马优化算法
    • “In the field of control engineering, a study introduces enhanced hippopotamus optimization (EHO) to address the challenge of tuning PID controller parameters. EHO improves population diversity and global search, and outperforms other methods in accuracy, convergence speed, and stability. EHO is applied to tune the cascade PID controller for trajectory tracking in a quadrotor unmanned aerial vehicle, achieving lower integrals of the time absolute error for position channels.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 8, Pages: 1356-1377(2025)

    • DOI：10.1631/FITEE.2400492    

      CLC： TP181

    • Received：07 June 2024，

      Revised：2024-10-04，

      Published：2025-08

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  • Kailong MOU, Mengjian ZHANG, Deguang WANG, et al. Enhanced hippopotamus optimization algorithm for tuning proportional–integral–derivative controllers[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(8): 1356-1377. DOI： 10.1631/FITEE.2400492.

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