PID Control Based on Improved Seeker Optimization Algorithm

In order to overcome the disadvantages of traditional PID setting methods, such as low precision, poor stability, susceptibility to noise, and so on, a PID control method is proposed based on improved seeker optimization algorithm (ISOA). This method adopts the Z-N method to calculate PID setting values to guide the production of initial population and the determination of searching range. Meanwhile, mutation method and guidance strategy of evolutionary direction are added to improve the accuracy of PID parameter optimization, and Kalman filter is used to filter control noise and measure noise in controlled systems. The simulation results show that, compared with the PID control method based on standard seeker optimization algorithm (SOA), the PID control method based on ISOA and Kalman filter can achieve better optimal PID parameters and effectively eliminate noise interference in the process of control, which achieves PID control with high precision and good robustness.