基于FPSO的船舶柴油发电机励磁系统控制  

FPSO-based Excitation Control for Marine Diesel Generator Set

作　　者：陈勇[1] 张艳[1] 

机构地区：[1]上海海事大学电气自动化系,上海201306

出　　处：《船电技术》2016年第9期44-48,共5页Marine Electric & Electronic Engineering

基　　金：国家自然科学基金资助项目(61203110);上海市教委科研创新项目资助(14YZ107)

摘　　要：针对大功率船舶柴油发电机工况的复杂性、时变性以及非线性等特性,以及船舶运行负载的变化对发电机励磁系统的影响,借鉴粒子群优化算法能够很好地适应复杂系统参数的寻优的特性以及模糊控制对参数优化的精确性,使用粒子群优化算法对控制器的PID参数进行优化,再使用模糊PID算法以误差和误差变化率作为输入,PID参数的增量作为输出对粒子群优化算法优化出来的PID参数进行修正,构成船舶发电机模糊-粒子群优化(FPSO)励磁控制系统控制器。在Matlab/Simuink环境下进行了额定负载、增加50%额定负载和三相故障等工况的仿真实验。实验表明,端电压经过短暂的波动后能够快速的回归稳定,证明该方法能够很好地适应工况的改变。Aimed at high power marine diesel generator＇s complexity, time-varying and nonlinear characteristics, as well as the change of the load to the influence of generator excitation system, to the reference of the characteristics that PSO algorithm can be able to adapt to the parameters optimization of the complex system and precision of parameters optimization using by the fuzzy control, using PSO algorithm to optimize PID parameters of the controller, and then using fuzzy PID algorithm to correct the PID parameters that are optimized by the PSO algorithm, thinking the error and rate of error change as input and the increment of PID parameter as output, a marine generator fuzzy - particle swarm optimization （FPSO） excitation system controller is designed. Under the environment of Matlab/Simuink We do the simulation experiments of rated load, increasing 50% rated load and three-phase fault. Experimental results show that terminal voltage can quickly return to stability after a brief fluctuations, which can prove that this method can be well adapt to changes in the working conditions.

关 键 词：柴油发电机 励磁控制 PID控制器 粒子群优化算法 模糊控制 

分 类 号：TP271.4[自动化与计算机技术—检测技术与自动化装置]