CAJ | 학술논문

针对复杂工业过程控制中带有区域约束要求的多变量预测控制问题，提出了一种软约束调整方法。依据控制要求的不同，将输出变量分为两类，即质量变量和一般约束变量，并结合工程经验合理选择变量的权重。将线性二次高斯方法引入到软约束的调整中，并兼顾系统的期望目标，以获得满意的优化结果。仿真结果表明所提方法不需要判断输出变量是否违反区域控制要求，也避免了复杂的交互矩阵计算问题，更符合实际工业生产需要。
침대복잡공업과정공제중대유구역약속요구적다변량예측공제문제，제출료일충연약속조정방법。의거공제요구적불동，장수출변량분위량류，즉질량변량화일반약속변량，병결합공정경험합리선택변량적권중。장선성이차고사방법인입도연약속적조정중，병겸고계통적기망목표，이획득만의적우화결과。방진결과표명소제방법불수요판단수출변량시부위반구역공제요구，야피면료복잡적교호구진계산문제，경부합실제공업생산수요。
A soft constraint adjustment method is developed for the multivariable predictive control problem with zone constraint requirements in complicated industrial process control. All output variables are grouped into two categories,namely quality variables and normal constraint variables, according to different control requirements. The variable weights are chosen according to engineering experience. In order to further improve the control performance,the linear quadratic Gaussian method is introduced into the soft constraint adjustment method. The simulation results show that the proposed algorithm doesn't need to estimate whether the output variables stay within the zone control requirements and avoids complicated interaction matrix calculations, which can satisfy the actual industrial needs more easily.