摘要
A novel design method for determining the proportional-integral-derivative(PID) controller gains of an anti-aircraft artillery servo system with multiple performance specifications based on a particle swarm optimization (PSO) algorithm is proposed. First, a performance criterion evolution function combined with the system maximum displacement settling time, rise time, overshoot, steady state error, constant velocity tracking error and sine wave tracking error is defined. Second, the optimization problem of PID controller parameters and the searching procedure of PSO algorithm are constructed. Finally, the optimal or near optimal PID controller parameters are fast and easily obtained by solving the above optimization problem on the given controller parameter space following the PSO searching procedure. The simulation results show the effectiveness of the proposed controllers.
A novel design method for determining the proportional-integral-derivative（PID） controller gains of an anti-aircraft artillery servo system with multiple performance specificauons based on a particle swarm optimization （PSO） algorithm is proposed. First, a performance criterion evolution function combined with the system maximum displacement settling time, rise time, overshoot, steady state error, constant velocity tracking error and sine wave tracking error is defined. Second, the optimization problem of PID controller parameters and the searching procedure of PSO algorithm are constructed. Finally, the optimal or near optimal PID controller parameters are fast and easily obtained by solving the above optimization problem on the given controller parameter space following the PSO searching procedure. The simulation results show the effectiveness of the proposed controllers.
基金
Sponsored by National Nature Science Foundation of China (60174028)
关键词
自动控制技术
伺服系统
PID控制
粒子群最优化
automatic control technique
servo system
PID control
particle swarm optimization
作者简介
LI Yin-ya（1976-）， lecturer, Ph.D., liyinya@mail, njust.edu. cn
SHENG An-dong（1964-）, professor, doctoral adviser, shen-gandong@mail. njust.edu. cn.
