Application of genetic fuzzy Smith PID in water pressure control of dry fog dust removal

The stability of water pressure is a considerable part of ultrasound dry dust removal, which greatly affects dust removal efficiency. The current hydraulic control system generally adopts fuzzy PID control combined with the fuzzy control algorithm and the PID algorithm, but the effect of fuzzy control depends greatly from expert experience, in which the proportional factors in the blur controller Kp, Ki, Kd and quantification After the factor Ke, Kec settings cannot be dynamically changed as the error changes, and dynamic adaptability is lacking. This paper uses genetic algorithm to optimize the above factor, and incorporate the SMITH estimation control algorithm, apply MATLAB to simulate. The simulation results show that the fuzzy PID control after the optimization of genetic algorithm is more excellent in response speed, overshoot control, steady state time.