CAJ | 학술논문

以实际的具有多变量、强耦合、强非线性特性的氧化铝强制循环蒸发系统为例,将一类多变量非线性系统分为线性模型和非线性未建模动态两部分,提出了由线性预测解耦控制器,神经网络非线性预测解耦控制器和切换机制组成的多模型预测解耦控制方法,并且证明了闭环系统的稳定性.最后,通过对强制循环蒸发系统的仿真实验,验证了所提方法的有效性.
이실제적구유다변량、강우합、강비선성특성적양화려강제순배증발계통위례,장일류다변량비선성계통분위선성모형화비선성미건모동태량부분,제출료유선성예측해우공제기,신경망락비선성예측해우공제기화절환궤제조성적다모형예측해우공제방법,병차증명료폐배계통적은정성.최후,통과대강제순배증발계통적방진실험,험증료소제방법적유효성.
A forced-circulation evaporation process of an alumina plant,which has multivariable,strong couplings between loops and high nonlinearities,is presented as an example.firstly,the multivariable nonlinear system is treated into a linear part plus a nonlinear unmodeled dynamics part.And a multiple models decoupling predictive control design method has been developed.The proposed control approach is composed of a linear decoupling predictive controller,a neural network nonlinear decoupling predictive controller and a switching mechanism.Furthermore,the stability of the closed-loop system is proved.Finally,the simulation results of the forced-circulation evaporation system show the effectiveness of the proposed approach.