基于扰动观测器的动态供应链系统模型预测控制

Model predictive control of dynamic supply chain system based ondisturbance observer

针对不确定市场需求供应链系统(supply chain system)的生产-库存预测控制问题,设计了一种模型预测控制(model predictive control,MPC)和扰动观测器(disturbance observer,DOB)结合的供应链系统生产控制策略。首先,对三级供应链系统进行分析,构建三级动态供应链的生产-库存数学模型;其次,设计基于扰动观测器的前馈补偿机制,补偿不确定性需求对供应链系统的影响;最后,考虑供应链系统存在的实际约束条件,设计模型预测控制方案,并证明系统的渐进稳定性。算例仿真验证了该方法的有效性。

To address the production-inventory control problem in supply chain systems under uncertain market demand,a production control strategy for supply chain system combining model predictive control(MPC)and disturbance observer(DOB)was introduced.Firstly,a production-inventory mathematical model of the three-level dynamic supply chain was established by analyzing the three-level supply chain system.Secondly,a feed-forward compensation mechanism based on disturbance observer was designed to compensate the impact of uncertain demand on the supply chain system.Finally,considering the practical constraints in the supply chain system,a model predictive control scheme was developed,and the asymptotic stability of the system was demonstrated.The effectiveness of the proposed method was verified by simulation examples.