摘要
PID控制器的性能取决于其控制参数的组合,针对其参数的整定与优化问题,提出了一种改进的粒子群算法,该算法将区间算法与轮盘赌选择引入种群微粒位置的初始化操作。仿真实验表明,新算法能有效克服早熟收敛现象,降低随机性初始种群的影响,提高算法收敛精度。
The performance of PID controller depends on the combination of the control parameters.An improved particle swarm optimization was proposed for tuning and optimizing PID parameters,by applying interval algorithm and roulette wheel selection to the initialization of particle location.The simulation and experimental results show that,the proposed algorithm can overcome premature phenomena,reduce the influence of random initial population,and improve the convergence precision,which means a good application prospect.
出处
《计算机应用》
CSCD
北大核心
2010年第6期1547-1549,共3页
journal of Computer Applications
基金
江苏省高校自然科学研究项目(09KJD120005)
徐州工程学院校科研基金资助项目(XKY2007233)
关键词
PID控制器
粒子群算法
区间算法
轮盘赌选择
早熟收敛
PID controller
Particle Swarm Optimization (PSO)
interval algorithm
roulette wheel selection
premature convergence