發(fā)布時(shí)間：2018-06-18 04:57

  本文選題：仿真結(jié)果驗(yàn)證 + 不確定性��； 參考：《哈爾濱工業(yè)大學(xué)》2016年碩士論文

【摘要】：不確定性在仿真系統(tǒng)中廣泛存在,在仿真領(lǐng)域引起越來越多的關(guān)注,研究輸入?yún)?shù)包含不確定的仿真系統(tǒng)的結(jié)果驗(yàn)證具有實(shí)際需求。如何針對包含異類不確定性、輸出為動(靜)態(tài)形式的多元系統(tǒng)進(jìn)行仿真結(jié)果驗(yàn)證,具有重要意義。本文圍繞該問題展開下述研究。首先,針對靜態(tài)輸出,提出基于改進(jìn)的Jousselme證據(jù)距離的仿真結(jié)果驗(yàn)證方法。通過分析靜態(tài)輸出特點(diǎn),提出將其轉(zhuǎn)化到證據(jù)理論中,采用改進(jìn)的Jousselme證據(jù)距離度量證據(jù)體間的差異性,進(jìn)而得到仿真系統(tǒng)的驗(yàn)證結(jié)果。其中,通過研究分析Jousselme證據(jù)距離及其修正證據(jù)距離存在的問題,提出了改進(jìn)的Jousselme證據(jù)距離。其次,針對動態(tài)輸出,提出基于改進(jìn)的時(shí)間序列誤差評估的仿真結(jié)果驗(yàn)證方法。針對動態(tài)輸出特點(diǎn),采用改進(jìn)的時(shí)間序列誤差評估方法將動態(tài)輸出轉(zhuǎn)化為相位、幅值和拓?fù)潇o態(tài)誤差,進(jìn)而轉(zhuǎn)化為上述靜態(tài)輸出形式的仿真結(jié)果驗(yàn)證問題,運(yùn)用改進(jìn)的Jousselme證據(jù)距離度量得到仿真動態(tài)輸出與實(shí)際動態(tài)輸出間的一致性。通過改進(jìn)相位誤差評估算法,改進(jìn)時(shí)間序列誤差評估方法,擴(kuò)展其應(yīng)用范圍。然后,針對多元輸出仿真系統(tǒng),提出采用主成分分析和區(qū)間主成分分析進(jìn)行仿真結(jié)果綜合驗(yàn)證。針對同時(shí)存在偶然不確定和認(rèn)知不確定的仿真系統(tǒng),采用區(qū)間主成分分析法,以降低輸出維數(shù)和消除輸出間的相關(guān)性;針對只存在偶然不確定的仿真系統(tǒng),則采用主成分分析法。最后,結(jié)合本文研究的理論成果,設(shè)計(jì)開發(fā)了仿真結(jié)果驗(yàn)證輔助工具。從主界面、輔助工具功能模塊和數(shù)據(jù)庫設(shè)計(jì)三方面闡述了輔助工具開發(fā)過程,并將其應(yīng)用于某飛行器末制導(dǎo)系統(tǒng)的結(jié)果驗(yàn)證。
[Abstract]:The uncertainty exists widely in the simulation system and attracts more and more attention in the field of simulation. It is necessary to study the results of the simulation system with uncertain input parameters. It is of great significance to verify the simulation results for multivariate systems with heterogeneous uncertainties and dynamic (static) output. This paper focuses on the following research. Firstly, a simulation method based on improved Jousselme evidence distance is proposed for static output. By analyzing the characteristics of static output, it is put forward that the improved Jousselme evidence distance is used to measure the differences of evidence bodies, and then the simulation results are obtained. By studying and analyzing the existing problems of Jousselme evidence distance and its modified evidence distance, an improved Jousselme evidence distance is proposed. Secondly, a simulation method based on improved time series error evaluation is proposed for dynamic output. According to the characteristics of dynamic output, the improved time series error evaluation method is used to transform the dynamic output into phase, amplitude and topological static error, and then to verify the simulation results in the form of static output mentioned above. Using the improved Jousselme evidence distance metric, the consistency between the simulation dynamic output and the actual dynamic output is obtained. By improving the phase error evaluation algorithm and improving the time series error evaluation method, its application range is expanded. Then, the principal component analysis (PCA) and interval principal component analysis (PCA) are used to verify the simulation results for the multivariate output simulation system. The interval principal component analysis method is used to reduce the output dimension and eliminate the correlation between outputs for the simulation system with both accidental uncertainty and cognitive uncertainty. Principal component analysis was used. Finally, combined with the theoretical results of this paper, an auxiliary tool for verification of simulation results is designed and developed. The development process of auxiliary tool is described from three aspects: main interface, function module of auxiliary tool and database design, and it is applied to verify the result of an aircraft terminal guidance system.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：V211;TP391.9

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