CAJ | 학술논문

在工业生产过程中,针时纯迟延、时变、强耦合的多输入多输出现象,提出一种基于模糊神经网络解耦和PID控制相结合,对系统进行解耦控制的方法.这种方法不需要建立多变量对象精确的数学模型,通过对大迟延大惯性强耦合的循环流化床锅炉床温-主汽压力对象进行仿真,其结果表明,解耦控制效果很好,具有良好的静态性、动态性及鲁棒性.
재공업생산과정중,침시순지연、시변、강우합적다수입다수출현상,제출일충기우모호신경망락해우화PID공제상결합,대계통진행해우공제적방법.저충방법불수요건립다변량대상정학적수학모형,통과대대지연대관성강우합적순배류화상과로상온-주기압력대상진행방진,기결과표명,해우공제효과흔호,구유량호적정태성、동태성급로봉성.
In the industrial production process,to the problems of the pure delay,time-variation and the strong coupling of the multiinput and multi-output phenomenon,a method is proposed that does not need to establish the precise multiple variable object mathematical model,based on the union of the fuzzy neural network decoupling and the PID control to control the decoupling of the system.The simulation result to the double-input and double-output coupling objects shows that this method has a good decoupling control performance and a great robustness.