【摘要】：艦載機(jī)是海洋作戰(zhàn)的重要武器,其安全著艦是整個(gè)作戰(zhàn)鏈條中非常關(guān)鍵的環(huán)節(jié)之一,艦載機(jī)大約80%的事故是在著艦過(guò)程中發(fā)生的。由于著艦事故引起的損失和危害極大,研究者們對(duì)著艦方法和技術(shù)給予高度重視,不僅對(duì)艦載機(jī)引導(dǎo)控制系統(tǒng)和航空母艦甲板著艦裝置不斷地進(jìn)行改進(jìn),也對(duì)艦載機(jī)著艦風(fēng)險(xiǎn)評(píng)估展開了深入的研究。為了提高著艦風(fēng)險(xiǎn)評(píng)估的準(zhǔn)確性,本文依據(jù)艦載機(jī)著艦過(guò)程的自動(dòng)引導(dǎo)和人工引導(dǎo)兩種方式,改進(jìn)了動(dòng)態(tài)多屬性決策方法和有偏好的多屬性群決策方法,對(duì)多組航次著艦風(fēng)險(xiǎn)進(jìn)行評(píng)估排序,實(shí)現(xiàn)飛行效能的綜合評(píng)價(jià)。首先對(duì)艦載機(jī)受力情況和著艦運(yùn)動(dòng)狀態(tài)進(jìn)行分析,完成了艦載機(jī)運(yùn)動(dòng)模型和艦載機(jī)控制模型的搭建�？紤]動(dòng)態(tài)多屬性決策方法在艦載機(jī)著艦風(fēng)險(xiǎn)評(píng)估中存在時(shí)間點(diǎn)不關(guān)聯(lián)等不足,對(duì)動(dòng)態(tài)多屬性決策方法進(jìn)行改進(jìn)：通過(guò)可能度與排序公式得到期望排序值,綜合期望和方差進(jìn)行條件分析,實(shí)現(xiàn)方案的排序,解決了排序相同或相似的飛行航次難于分辨優(yōu)劣的問(wèn)題。分析有偏好多屬性群決策應(yīng)用在著艦風(fēng)險(xiǎn)評(píng)估中的原因,發(fā)現(xiàn)其目標(biāo)優(yōu)化模型存在局限性,對(duì)有偏好的多屬性群決策方法進(jìn)行改進(jìn)：通過(guò)定義二維三角模糊數(shù)的期望值,建立目標(biāo)優(yōu)化模型,獲取屬性權(quán)重,實(shí)現(xiàn)系統(tǒng)數(shù)據(jù)與專家評(píng)估信息的統(tǒng)一,解決了未知屬性權(quán)重的決策問(wèn)題。在MATLAB仿真環(huán)境下,對(duì)艦載機(jī)著艦系統(tǒng)模型進(jìn)行仿真,獲取著艦過(guò)程中飛行信息和不同航次的落點(diǎn)分布。通過(guò)比較改進(jìn)方法與傳統(tǒng)方法的決策結(jié)果可知,改進(jìn)的動(dòng)態(tài)決策方法可以更好的評(píng)估出排序相同或相近的方案,而改進(jìn)的有偏好群決策方法可以使屬性權(quán)重更逼近標(biāo)準(zhǔn)屬性權(quán)重,使排序結(jié)果更準(zhǔn)確。仿真結(jié)果證明了改進(jìn)方法的有效性和可行性。針對(duì)兩種飛行情況進(jìn)行了大量仿真實(shí)驗(yàn),統(tǒng)計(jì)結(jié)果表明改進(jìn)的動(dòng)態(tài)多屬性決策方法對(duì)同一駕駛員多航次飛行的情況更適用,并且針對(duì)相似類型的多屬性決策問(wèn)題也具有通用性。
[Abstract]:Shipborne aircraft is an important weapon in marine warfare, and its safe landing is one of the key links in the whole battle chain. About 80% of the accidents of shipborne aircraft occur in the course of landing ship. Because of the great loss and harm caused by the landing accident, researchers attach great importance to the method and technology of landing, not only to the guidance control system of the carrier aircraft and the carrier deck landing device, but also to improve continuously. The risk assessment of carrier aircraft landing is also studied in depth. In order to improve the accuracy of ship landing risk assessment, this paper improves the dynamic multi-attribute decision method and the preference multi-attribute group decision method according to the two ways of automatic guidance and manual guidance of shipboard landing process. The risk of multi-group ship landing is evaluated and sorted to realize the comprehensive evaluation of flight effectiveness. Firstly, the force and landing state of shipborne aircraft are analyzed, and the motion model and control model of shipborne aircraft are built. Considering the shortcomings of dynamic multi-attribute decision making method in ship landing risk assessment, the dynamic multi-attribute decision making method is improved: the expected ranking value is obtained by the possibility degree and ranking formula. Based on the conditional analysis of expectation and variance, the scheduling scheme is realized, which solves the problem that it is difficult to distinguish the merits and demerits of the same or similar flights. This paper analyzes the reasons for the application of preference multi-attribute group decision making in shipboard risk assessment, finds that its objective optimization model has limitations, and improves the method of multi-attribute group decision making with preference: by defining the expected value of two-dimensional triangular fuzzy number, The goal optimization model is established to obtain attribute weights and the system data and expert evaluation information are unified. The decision problem of unknown attribute weights is solved. In the MATLAB simulation environment, the ship landing system model of shipborne aircraft is simulated to obtain the flight information and the distribution of different landing points during the ship landing. By comparing the decision results of the improved method and the traditional method, it can be seen that the improved dynamic decision method can better evaluate the same or similar ranking schemes. The improved preference group decision making method can make the attribute weight more close to the standard attribute weight and make the ranking result more accurate. Simulation results show the effectiveness and feasibility of the improved method. A large number of simulation experiments have been carried out for the two flight cases. The statistical results show that the improved dynamic multi-attribute decision making method is more suitable for the case of the same pilot's multi-voyage flight, and it is also universal for similar multi-attribute decision making problems.
【學(xué)位授予單位】：哈爾濱商業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：E926.392

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