摘要
PID控制器的性能完全依赖于其参数的整定和优化,但参数的整定及在线自适应调整对常规的PID控制器是难以解决的问题。根据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,提出了一种基于粒子群优化算法整定PID控制器参数的设计方法,并定义了一种新的性能指标函数来评价PID控制器的性能。现以二阶的船舶控制装置为研究对象,运用粒子群优化方法对PID控制器参数进行了寻优研究。仿真结果表明,该方法比一般PID参数整定方法具有更好的控制性能指标,有着一定的工程应用价值。
The performance of PID controller completely depends on the parameter tuning and optimization, which are difficult problems for general PID controller. Based on the characteristic of particle swarm optimization（PSO） algorithm which searches the parameter space concurrently and efficiently,a novel design method for determining the optimal PID controller parameters using the particle swarm optimization （PSO） algorithm is presented in this paper. A new performance criterion function is also defined to estimate the performance of the PID controller. Using the second - order ship control system as studying object, PSO algorithm is used to search optimal parameter of PID controller. The simulation results indicate that the control performance of the PID based on PSO is better than that of the general PID parameters tuning methods and possesses certain engineering value.
出处
《计算机仿真》
CSCD
2006年第8期158-160,共3页
Computer Simulation
关键词
粒子群优化算法
控制
参数整定
Particle swarm optimization （PSO）
Control
Parameter tuning
