Improved Manta Ray Foraging Optimization for PID Control Parameter Tuning in Artillery Stabilization Systems

In this paper, an Improved Manta Ray Foraging Optimization (IMRFO) algorithm is proposed to address the challenge of parameter tuning in traditional PID controllers for artillery stabilization systems. The proposed algorithm introduces chaotic mapping to optimize the initial population, enhancing th...

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Bibliographic Details

Published in:	Biomimetics
Main Authors:	Xiuye Wang, Xiang Li, Qinqin Sun, Chenjun Xia, Ye-Hwa Chen
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Subjects:	improved manta ray foraging optimization artillery stabilization control systems PID control parameter tuning Lévy flight
Online Access:	https://www.mdpi.com/2313-7673/10/5/266