摘要
针对自动化控制系统中PID控制器参数整定困难的问题,提出了基于粒子群算法的PID控制器的设计方法,给出了具体的实验架构。采用系统参数鉴定的方式得到直流伺服发电机的传递函数,并利用粒子群算法搜寻PID参数。实验采用MATLAB仿真证明了该方法的可行性和优越性。所得到模拟结果跟遗传算法搜索PID参数的结果做比较,结果显示用粒子群算法调整PID参数所得到的运算时间比用遗传算法的运算时间要短。
A design method of PID controller based on particle swarm algorithm is proposed to solve the difficult problems of parameter tuning on PID controller in automatic control system. And the specific experimental structure is also given. The transfer function of DC servo generator is found with identification of system parameters, and the PID parameters are searched by particle swarm algorithm. MATLAB simulation is used to demonstrate the feasibili- ty and advantages of this approach. The simulation result is compared to the result of searching PID parameters based on genetic algorithm, and it is show that the seeking time to tune the PID parameters by using the particle swarm algorithm is faster than by using the genetic algorithm method.
出处
《计算机工程与应用》
CSCD
2012年第34期221-224,236,共5页
Computer Engineering and Applications
基金
江苏省博士后科研资助计划资助(No.1101123C)
无锡城市学院研究课题(No.WXCY-2011-GY-008)
关键词
遗传算法
PID控制
参数整定
粒子群算法
genetic algorithm
PID control
parameters tuning
particle swarm algorithm
