PID controller optimization of underwater autonomous vehicle based on dung beetle optimization algorithm
Hongna Li, Jiaqi Xie, Yiqun Fan · Journal of Physics Conference Series · 2025
Abstract Due to the complexity of the marine environment, the stability of underwater vehicles has gradually become a top priority. However, a single traditional PID control cannot accurately calculate the complex environment. Therefore, the present study utilizes a technique that combines the dung beetle optimization approach with traditional PID control methods. The simulation is compared with the gray wolf algorithm optimized PID and the traditional PID. The outcomes reveal that it is feasible, good, and extensible to optimize the PID parameters by using the optimization algorithm of the worm, and this technique contributes to both improved stability and heightened control precision for the system.