船舶动力系统可行动态递阶协调优化方法研究

Research on Feasible Dynamic Hierarchical Coordinated Optimization Approach of Marine Power System

针对船舶动力系统分散控制的弊端,提出了一种基于可行动态递阶协调的分布式预测控制算法。在预测控制滚动优化的框架下,利用大系统动态递阶控制理论分别设计分布式控制器:冷却水温度控制器、燃油控制器、主机控制器,通过系统之间的信息交换和迭代计算解决系统间的耦合问题。以某远洋货船动力控制系统的实际运行数据为基础进行了仿真实验,与传统的分散控制算法的对比结果表明,该算法具有状态波动少、控制性能好的优点。

Aimed at the disadvantage of decentralized control of marine power system,a distributed predictive control algorithm was proposed based on feasible dynamic hierarchical coordinated approach.In the framework of predictive control,distributed controllers including cooling water temperature controller,fuel oil controller and main engine controller were designed based on large-scale system dynamic hierarchical control theory.System coupling was dealt with information exchange and iterative computation.Simulation experiment was carried out based on the practical data of a certain ocean-going cargo ship.The result of contrast with traditional decentralized control algorithm shows,this algorithm has advantages of better control performance and less fluctuations.