本文關(guān)鍵詞： 神經(jīng)網(wǎng)絡(luò) 故障診斷 PSO 組合導(dǎo)航　出處：《沈陽航空航天大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著科學(xué)技術(shù)的飛速發(fā)展,單一的導(dǎo)航系統(tǒng)的精度已經(jīng)無法滿足如今的需求。因此,隨著計(jì)算機(jī)技術(shù)和現(xiàn)代控制理論的進(jìn)步,組合導(dǎo)航系統(tǒng)廣泛的應(yīng)用于各類載體上。但是復(fù)雜的系統(tǒng)使得故障更易發(fā)生,因此故障診斷技術(shù)成為了提高組合導(dǎo)航系統(tǒng)精度和可靠性的重要手段。本文首先論述了神經(jīng)網(wǎng)絡(luò)的發(fā)展概況和基本原理,簡單介紹了神經(jīng)網(wǎng)絡(luò)的分類和學(xué)習(xí)方式。介紹了粒子群優(yōu)化(PSO)算法的基本原理,在標(biāo)準(zhǔn)粒子群優(yōu)化算法的基礎(chǔ)上,針對粒子群算法后期收斂慢、易陷入局部最優(yōu)解的缺點(diǎn),提出了一種可調(diào)節(jié)學(xué)習(xí)因子和慣性權(quán)重的改進(jìn)粒子群算法,并將改進(jìn)的粒子群算法引入到神經(jīng)網(wǎng)絡(luò)中,提出了一種基于改進(jìn)PSO-BP網(wǎng)絡(luò)的故障診斷方法。簡要的介紹了組合導(dǎo)航系統(tǒng)的組成原理,INS和GPS各自的工作原理和誤差指標(biāo)。建立INS/GPS組合導(dǎo)航系統(tǒng)狀態(tài)方程和觀測方程。以陀螺儀故障診斷為例,對改進(jìn)PSO-BP網(wǎng)絡(luò)故障診斷方法進(jìn)行仿真驗(yàn)證,證明該算法相對于標(biāo)準(zhǔn)粒子群算法的優(yōu)越性。將改進(jìn)PSO-BP網(wǎng)絡(luò)應(yīng)用于組合導(dǎo)航故障診斷中,并驗(yàn)證了其可行性與準(zhǔn)確性。
[Abstract]:With the rapid development of science and technology, the accuracy of a single navigation system has been unable to meet the needs of today, so with the progress of computer technology and modern control theory, Integrated navigation systems are widely used in all kinds of carriers. But complex systems make failures more likely. Therefore, fault diagnosis technology has become an important means to improve the accuracy and reliability of integrated navigation system. This paper introduces the classification and learning method of neural network, introduces the basic principle of particle swarm optimization (PSO) algorithm. Based on the standard PSO algorithm, the PSO algorithm has the disadvantages of slow convergence and easy to fall into the local optimal solution. An improved particle swarm optimization algorithm with adjustable learning factor and inertia weight is proposed, and the improved particle swarm optimization algorithm is introduced into the neural network. A fault diagnosis method based on improved PSO-BP network is presented. The composition principle of integrated navigation system and the working principle and error index of ins and GPS are introduced briefly. The state equation of INS/GPS integrated navigation system and its observation are established. Taking gyroscope fault diagnosis as an example, The improved PSO-BP network fault diagnosis method is verified by simulation, which proves its superiority over the standard particle swarm optimization algorithm. The improved PSO-BP network is applied to the integrated navigation fault diagnosis, and its feasibility and accuracy are verified.
【學(xué)位授予單位】：沈陽航空航天大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN967.2;TP183

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