Research on Liquid Level Control of Unmanned Platform Closed Drainage Based on Improved Particle Swarm Optimization

In order to obtain a control scheme for the liquid level of unmanned platform closed drainage with good performance indicators, this paper proposes a PID control method based on the optimization of Improved Particle Swarm Optimization (IPSO). On the basis of analyzing the principle of closed drainage liquid level control, a liquid level control model of unmanned platform closed drainage based on Improved Particle Swarm Optimization was constructed, and simulation was carried out on the closed drainage liquid level control of four methods: conventional PID, Z-N tuning method, standard Particle Swarm Optimization (PSO), and IPSO algorithm, using Simulink. The results show that the IPSO optimization algorithm has shorter adjustment time, smaller overshoot, and smaller steady-state error than the conventional PID, Z-N tuning, and PSO algorithms, with higher control accuracy, faster convergence speed, and stronger stability.