Application of optimizing PID Parameters based on PSO in the Temperature Control System of Haematococcus Pluvialis

The growth state of Haematococcus pluvialis is greatly affected by the external environment temperature, and it is difficult to meet the control requirements of the temperature control system by using conventional control methods. Aiming at the problems of low precision of conventional PID control and difficulty in parameter setting, and combining the characteristics of temperature control, this paper combines particle swarm intelligence algorithm with conventional PID, uses Matlab programming software, and combines Simulink system for simulation analysis. Experimental results show that compared with a single PID control, this method shortens the time to reach stability, improves the control accuracy, and has better control quality of the system. The superiority of this method is verified by simulation experiments.