| 基于模型预测控制的混合动力船舶能量控制策略 |
| 投稿时间：2017-11-02 修订日期：2017-12-13 点此下载全文 |
| 引用本文：高迪驹,张伟,王旭阳,潘海邦.基于模型预测控制的混合动力船舶能量控制策略[J].上海海事大学学报,2018,39(2):60-65. |
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| 基金项目:国家自然科学基金（61304186，61673260）；上海市自然科学基金（16ZR1414300）；上海海事大学研究生创新基金（2017ycx023） |
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| 中文摘要:为提高混合动力船舶的燃油经济性，选取马尔科夫模型对混合动力船舶需求功率进行预测。运用动态规划的方法以总油耗量最小为目标进行柴油发电机组和动力电池组功率分配优化，并将油耗量与基于模糊逻辑控制策略的油耗量作对比。仿真表明，采用所提出的控制策略时混合动力船舶的燃油经济性得到明显提高，说明基于马尔科夫模型的预测控制在混合动力船舶能量分配上是可行的，且具有良好的实用性。 |
| 中文关键词:混合动力船舶 模型预测控制 能量分配 动态规划 |
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| Energy control strategy for hybrid power ships based on model predictive control |
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| Abstract:In order to improve the fuel economy of hybrid power ships, the Markov model is selected to predict the demand power of hybrid power ships. The dynamic programming method is used to optimize the power distribution of diesel generator set and power battery pack with the objective of the minimum total fuel consumption, and the fuel consumption is compared with the fuel consumption based on fuzzy logic control strategy. The simulation results show that the fuel economy of hybrid power ships is improved obviously with the proposed control strategy, which indicates that the predictive control based on Markov model is feasible and is of good practicability in the energy distribution of hybrid power ships. |
| keywords:hybrid power ship model predictive control energy distribution dynamic programming |
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