Research on the optimization of PID control of remotely operated underwater vehicle

Ant colony algorithm (ACA) is a heuristic evolutionary algorithm, which is based on bionic population, and PID controller of remote control underwater vehicle (ROV) can be optimized by it. Optimal combination of PID control parameters can be obtained by simulating the way ants find the shortest path, and then these parameters can be improved by ACA. The simulation results show that PID controller optimized by ACA will rise faster and overshoot smaller. The PID parameters improved by ACA will be better controlled than before.