Design of underwater stirring robot control system based on genetic algorithm

Combined with the strong crossover and nonlinear characteristics of the sewage environment of the aeration tank, the dynamic model of the underwater stirring submersible is established, and a control method for fuzzy adaptive improvement is proposed by genetic algorithm. The method uses the fitness equation to represent the overall performance criterion, and the corresponding control parameters are optimized and the autotuning is optimized by genetic algorithms to meet the design requirements of the system. The simulation results show that after the optimization of the genetic algorithm, the shortcomings of the traditional fuzzy adaptive control accuracy are compensated, so that the system has the characteristics of fast response and small overshoot.