Research On Nonlinear PID Controller of Excitation System Based on PSO
Hu Bo
Abstract
Hu Bo
Abstract
Because linear PID controller in excitation control system was hard to obtain satisfactory control effect,we analyzed nonlinear relations of gain parameters and deviation for linear PID controller.According to regulation law between control quantity and error signal,we constructed a nonlinear PID controller.Particle swarm optimization(PSO)algorithm has feature of efficient parallel search in entire parameter space,improved PSO algorithm with cross factor was used to optimize gain parameters of nonlinear PID controller.Simulation results show that nonlinear PID controller can effectively improve accuracy of terminal voltage and has a good dynamic quality.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Because linear PID controller in excitation control system was hard to obtain satisfactory control effect,we analyzed nonlinear relations of gain parameters and deviation for linear PID controller.According to regulation law between control quantity and error signal,we constructed a nonlinear PID controller.Particle swarm optimization(PSO)algorithm has feature of efficient parallel search in entire parameter space,improved PSO algorithm with cross factor was used to optimize gain parameters of nonlinear PID controller.Simulation results show that nonlinear PID controller can effectively improve accuracy of terminal voltage and has a good dynamic quality.
Key concepts: PID controller, Control theory (sociology), Particle swarm optimization, Nonlinear system, Controller (irrigation), Open-loop controller, Computer science, Control engineering