Double-tank Liquid Level Control Based on Genetic Algorithm

For the long time lag and nonlinear double-tank experimental system, research has been carried on by PID control strategy with more setting parameters of genetic algorithm. During the process of tank level control, a kind of adaptive setting method combined with genetic algorithm crossover probability and mutation probability is applied. By using the method to optimize parameters of the PID controller and writing simulation control program in the MATALB language environment to do the simulation study with the double-tank. The results of simulation and application shows that: the method can be used to realize PID parameters of global optimization and compared with conventional PID control, the tank level control with GA genetic and PID algorithm works with faster response and faster to achieve stability, which improve the performance of a control system.