The Liquid Level Control of a Three-Tank Water Tank is Based On Beetle-Particle Swarm Algorithm

Aiming at the uncertainty factors such as large inertia, large delay and nonlinearity in the three-tank water level control system, an intelligent control algorithm of Beetle antennae-particle swarm optimization was proposed. Firstly, on the basis of establishing the mathematical model of the three-capacity water tank, the BAS-PSO algorithm is designed, which increases the ability of individual to learn the surrounding information independently on the basis of maintaining the group optimization search and learning the global optimal, and continuously iterates the optimization until the optimal solution is found. Secondly, 5 examples of benchmark test functions are selected for performance testing to evaluate the local search ability and global development ability of the algorithm. Finally, the simulation results show that compared with the traditional intelligent control algorithm, the BAS-PSO algorithm can effectively improve the speed and robustness of the system.