基于改进PSO的励磁系统非线性PID控制研究

Research On Nonlinear PID Controller of Excitation System Based on PSO

针对线性PID控制器在励磁控制系统中难以取得满意控制效果的缺点,在分析了PID控制器增益参数和偏差信号之间的非线性函数关系的基础上,根据控制量与误差信号之间的调节规律,构造出一种非线性PID控制器。因为粒子群算法具有对整个参数空间进行高效并行搜索的特点,通过引入交叉因子的改进PSO算法来寻优非线性PID控制器各增益参数。仿真结果表明非线性PID控制器能够有效地改善机端电压的控制精度,并且具有良好的动态品质。

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.