Author(s): X P Jiang; H Zhu; W S Wang; Z W Wang; Y Y Luo

Linked Author(s):

Keywords: Hydraulic turbine governor; PSO algorithm; PID parameter optimization; ITAE

Abstract: Due to the complex structure of the turbine control system, poor dynamic performance and difficult stability, the conventional PID tuning method widely used in the turbine governor is becoming increasingly difficult to meet the actual control requirements. Based on the structure and mathematical model of the turbine control system, this paper introduces the PSO (Particle Swarm Optimization Algorithm) to optimize the PID parameters of the turbine governor based on ITAE as the fitness function. The simulation results show that the PSO algorithm is an effective parameter optimization method for the turbine governor, which has better dynamic performance compared with the conventional PID control.

DOI: https://doi.org/10.1088/1755-1315/163/1/012098

Year: 2017