摘要
在合成氨控制系统性能优化问题的研究中,由于合成氨控制系统的高阶、时变和非线性等特征,引起系统的稳定性差。为解决上述问题,提出了改进粒子群的PID控制参数优化算法。在算法中,首先对PID控制参数的粒子群优化方法进行研究,并进行粒距聚类和粒子信息熵计算;然后依据种群平均信息熵和粒子信息熵进行粒子速度权值映射,并依据粒距聚类度进行权值调整;最后将该算法应用于合成氨控制系统中的脱氧槽液位控制系统仿真。实验证明,改进算法可以较快地达到系统稳态,并具有较强的抗干扰能力,可实现合成氨控制系统的控制系统最优目标。
In order to solve the problem that the control parameter of synthetic ammonia control system has the characteristics of high order, time-varying and nonlinear, this paper put forward an improved PID control parameters optimization algorithm based on particle swarm. In this algorithm, firstly, the PID control parameters of particle swarm optimization methods was studied, and the grain distance clustering and particle information entropy calculation were carried out. Then based on the population average entropy and particle information entropy, the particle velocity right value mapping was implemented, and according to the seed spacing of clustering, the weights were adjusted. Fi- nally, this algorithm was applied to the control system simulation of synthetic ammonia control system of deoxidizing tank level. Experimental results show that this algorithm can fast reach system steady state, and has strong anti-jam- ming ability. KEY-WORDS ： Synthetic ammonia ; Particle swarm ; Control parameters ; Automatic control simulation
出处
《计算机仿真》
CSCD
北大核心
2013年第5期366-369,共4页
Computer Simulation
关键词
合成氨
粒子群
控制参数
自动控制仿真
Synthetic ammonia
Particle swarm
Control parameters
Automatic control simulation
