The superheated steam temperature control system of thermal power units has characteristics of large delay and large inertia. Affected by load changes and internal/external disturbances

the parameters are not easy to set. In this study

the active disturbances rejection control(ADRC) is introduced into the superheated steam temperature control system

and a seeker optimization algorithm(SOA) is used to optimize the main parameters of the ADRC. Using the six main parameters of the ADRC as the optimization aims

the objective function adopts the integrated time and absolute error criterion(ITAE). In order to prevent the output of the controller from over adjustment

the time integral of the square of controller output is added

and the weights of the error and the control are adjusted appropriately. The test function is used to verify the SOA

and the time-domain performance

internal and external disturbances and load reduction simulations of a superheated steam temperature control system of a 300 MW unit are compared using the SOA-optimized ADRC-PI controller and SOA-optimized PI-PI controllers and PI-PI controller based on empirical formulas. The results show that the convergence accuracy and the robustness of the SOA are excellent. Besides

in anti-internal and external disturbance and load reduction control effect

the SOA-optimized ADRC-PI controller is obviously better than the SOA-optimized PI-PI controller and PI-PI controller based on empirical formulas. The controlling parameters optimized by the SOA make the system's response faster

overshoot small

and adjustment time shorter.