节点文献
多机并车系统方案研究与选型设计
Design Selection and Research on Multi-power Combine System
【作者】 刘国花;
【导师】 周瑞平;
【作者基本信息】 武汉理工大学 , 轮机工程, 2009, 硕士
【摘要】 随着高新科技迅猛发展,涉及船舶方面的很多理论研究已日臻完善。但船舶动力装置在实际运行过程中工况多变,实船上各种性能实测研究很复杂;国内外均采用理论研究、台架试验和实船测试相结合的方法来研究动力装置的各种性能;国内的多机并车研究很少;我国在船舶电力推进系统研究及应用方面起步较晚,相关的设计与制造方面与发达国家还有很大差距;柴油机多机并车联合动力装置适合我国国情;船舶动力装置现代化人才培养要求有良好的教学实验条件,应船舶发展的需要拟建多机并车试验台架。动力装置试验台架的设计一般都是根据经验,从科学角度来综合评估的比较少,本文引用了模糊综合评判法来进行多机并车试验台的设计和研究。本文以多机并车试验台架为研究对象,在设计研制试验台架时,首先考虑到其功能要求、设计原则、性能指标、国内外同类型试验台架现有水平和发展概况等,在总结现有可借鉴的船舶设计经验的基础上,提出了不同的多机并车系统试验台架设计方案;考虑试验台架的影响因素,建立了多机并车系统方案评价指标体系,针对评价指标体系的特点,研究了群组层次分析法和模糊综合评价方法,进而确定了最佳设计方案。此外还选取了满足系统功能要求的部分设备。在进行综合评判时,首先构建了多机并车系统评判的递阶层次结构模型,利用改进的AHP(层次分析法)来计算模型中各指标的权重,在计算过程中,将改进的群组AHP方法应用到了群组判断矩阵的集结问题中,实现了专家意见的有效融合。而后完成模型中指标的定性、定量划分,在指标隶属度的确定问题上,定性指标选用了模糊隶属度的方法,对于定量指标,结合相关规范,确定了合理的隶属函数。在权重与隶属度均确定的基础上,选择适合本问题的模糊综合评判模型,运用MATLAB软件,计算得最终的评价结果,实现了方案的选优。本文是模糊综合评价方法在多机并车试验台系统方案优选中应用的一次探讨,旨在为试验台架方案的优选提供一种科学合理的方法,进而建立最佳的试验台。
【Abstract】 With the rapid development of high technology, lots of theoretical researches involving ship have been getting more sophisticated. During the actual operation process, ship power plant working conditions are inconstant; Environmental influence is significant; Various properties measuring study are very complex; At home and abroad, methods combining with theoretical research, bench testing and shiphoard measurement are being used to study various performances of ship power plant; Researches of multi-power combine system is few; Researches and application of electric ship power system are later in domestic, design and manufacture related having great gap from developed nation; CODAD combined power plant can adapt to the situation of our country; The construction of testing benches was often based on the experience or the requirement of ship-owner, not enough work has be done for making comprehensive programme evaluation scientifically. An important reason for cultivating a person of talant in modem society is better experiment condition, to satisfy the ship development multi-power combine system test bench will be setted up. Here, the fuzzy comprehensive evaluation is brought in to carry on the research for multi-power combine system design selection and optimization.In this paper, multi-power combine system design selection and research is considered as the object, in the design of the development of test bench, the factors taked into account are their functional requirements, design principles, performance indicators, the current development level at home and abroad, and so on. At the basis of the conclusion of the existing design experiences in ship, this paper brings forward different multi-power combine system designs, and sets up an evaluation index system for these projects combing with the characteristics of the test bench, then contraposing evaluation system characteristics, carrys on an investigation into Group AHP Method and the fuzzy comprehensive evaluation methods; Finally, the best design is determined by using comprehensive evaluation method. In addition, several of equipments meet the system requirements are selected.During comprehensive evaluating process, firstly, analytic hierarchy structure model is established to evaluate the multi-power combine system and the categorization of quantified index and qualitative index is finished. Secondly, ameliorative AHP is used to calculate absolute weight of the index in the model. Group AHP Method is adopted to solve the assembled problem, achieving the fusion of experts’ opinions. As for the problem of index membership, reasonable membership function is established, by characters analyzing and correlative rules combining. After finishing the calculation of weight and membership, proper fuzzy comprehensive evaluation model is chosen. Using Mat Lab software, the evaluation result is gained. And finally the project selection is completeed.This thesis does another research on the application of fuzzy comprehensive evaluation on marine project selection, in order to provide a scientific method for the selection of multi-power combine system.
【Key words】 Power plant; Fuzzy comprehensive evaluation; Membership function; Weight;