Optimization of PID Controller for Underwater Autonomous Vehicle Based on Particle Swarm Optimization Algorithm

In order to ensure that the underwater autonomous vehicle can maintain the stability of control performance when performing unknown tasks, this paper combines the particle swarm optimization algorithm with PID controller, and compares the particle swarm optimization PID simulation with fuzzy PID simulation and traditional PID simulation, and concludes that the use of particle swarm optimization algorithm to optimize the PID parameters has a certain feasibility, which improves the stability and control performance of the system.