本文關(guān)鍵詞：面向在軌操作的人體負荷能力評估與預(yù)測研究　出處：《國防科學(xué)技術(shù)大學(xué)》2014年博士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 在軌操作 評估 預(yù)測 時域 頻域 雙頻域 支持向量機 Elman神經(jīng)網(wǎng)絡(luò)

【摘要】：加強在太空飛行任務(wù)過程中人體負荷能力的客觀化、定量化研究,能夠更好地推進空間資源的探索與利用,以及加速空間技術(shù)發(fā)展。論文圍繞評估與預(yù)測兩個模型,開展在軌操作人體負荷能力的研究。首先,建立了在軌操作負荷能力評估模型。在軌操作的人體負荷能力評估方法應(yīng)具有無干擾性、無侵入性、無創(chuàng)傷性、定量性、客觀性和準確性等特性。論文首先確定了基于肌電和肌力人體負荷能力評估的模型結(jié)構(gòu)。然后,在多特征理論指導(dǎo)下,提出了利用時域、頻域、雙頻域分析方法對表面肌電信號的非平穩(wěn)性與非線性屬性進行理論解釋,求解了肌電信號的幅值、頻域和相位信息隨負荷能力的變化規(guī)律。通過對肌力的統(tǒng)計分析,完成了對肌力物理量性質(zhì)的數(shù)學(xué)建模,探尋了人在不同操作工況下肌力不同屬性之間的相互關(guān)系,比較了人在不同操作工況下操作負荷能力的差異,分析了影響人體空間操作肌力變化的因素。在提取到肌電特征值的基礎(chǔ)上,設(shè)計了以均方根振幅、積分肌電、平均頻率、中值頻率、對角切片譜能量與軸向切片譜能量結(jié)果為特征指標(biāo),并將特征指標(biāo)與支持向量機結(jié)合構(gòu)建操作動作分類模型,實現(xiàn)了較高精度的辨識率。通過仿真確定了時域、頻域及雙頻域特征值隨負荷增加的變化規(guī)律。其次,研究了在軌操作人體負荷能力的預(yù)測問題�；贓lman神經(jīng)網(wǎng)絡(luò)建立了預(yù)測模型。選取左、右上肢肱二頭肌表面肌電信號的平均頻率與中值頻率值,以及相應(yīng)的肌力作為Elman動態(tài)神經(jīng)元網(wǎng)絡(luò)的輸入?yún)?shù),構(gòu)建了包含輸入層—隱含層—連接層—輸出層的四層網(wǎng)絡(luò)結(jié)構(gòu)。對具有多變量、強耦合、非線性和時變性等特性的在軌操作人體負荷能力的預(yù)測問題提出了解決的途徑和方法。最后,開展了在軌操作人體負荷能力評估與預(yù)測的實驗研究。實驗過程中測量與采集了人體操作時三維操作力與上肢四個通道的肌電信號。人體負荷能力實驗結(jié)果驗證了評估與預(yù)測模型的正確性。論文針對人體空間操作負荷能力的評估與預(yù)測問題,研究了利用肌力與肌電信號診斷與測算人體負荷狀態(tài)的方法,通過該研究初步系統(tǒng)地建立了在軌操作人體負荷能力實時監(jiān)測、綜合評估、有效分類與辨識,以及預(yù)先推測等方法。
[Abstract]:To strengthen the objective and quantitative study of the human body's load capacity in the course of space mission, we can better promote the exploration and utilization of space resources. And accelerate the development of space technology. This paper focuses on the evaluation and prediction of the two models to carry out the study of on-orbit human load capacity. First of all. The evaluation model of on-orbit operating load capacity is established. The evaluation method of on-orbit human load capacity should be non-interference, non-invasive, non-traumatic and quantitative. Objectivity and accuracy. Firstly, the model structure based on myoelectric and muscle strength human load assessment is established. Then, under the guidance of multi-feature theory, the use of time domain and frequency domain is proposed. The non-stationary and nonlinear properties of surface EMG signal are theoretically explained by dual-frequency domain analysis method, and the amplitude of EMG signal is solved. Through the statistical analysis of the muscle force, the mathematical model of the physical properties of the muscle force is completed. This paper explores the relationship between different properties of muscle strength under different operating conditions, and compares the difference of operating load capacity of human under different operating conditions. On the basis of extracting the eigenvalue of EMG, we designed the mean square amplitude, integral electromyography, mean frequency and median frequency. The result of diagonal slice energy and axial slice spectrum energy is the characteristic index, and the feature index and support vector machine are combined to construct the operation action classification model to achieve a high precision identification rate. The time domain is determined by simulation. The characteristic values of frequency domain and dual frequency domain change with the increase of load. Secondly, the prediction problem of human load capability in orbit operation is studied. A prediction model based on Elman neural network is established, and the left side is selected. The mean frequency and median frequency of the biceps surface EMG signal of the right upper limb and the corresponding muscle force were used as the input parameters of the Elman dynamic neural network. A four-layer network structure consisting of input layer, hidden layer, connection layer and output layer is constructed. The prediction of human load capacity in orbit operation with nonlinear and time-varying characteristics is discussed in this paper. Finally, the methods are proposed to solve the problem. An experimental study was carried out on the evaluation and prediction of human load capability in orbit operation. EMG signals of three dimensional operating force and four channels of upper limb were measured and collected in the course of the experiment. The experimental results of human body load capacity were verified. The evaluation and prediction model is correct. This paper aims at the evaluation and prediction of human spatial operating load ability. This paper studies the method of diagnosing and measuring the load state of human body by using muscle force and EMG signal. Through this study, the real-time monitoring, comprehensive evaluation, effective classification and identification of human load capability in orbit operation are established. As well as presupposition and so on method.
【學(xué)位授予單位】：國防科學(xué)技術(shù)大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：R85

【相似文獻】

相關(guān)期刊論文 前4條

1 郭銀華,熊觀佐;電網(wǎng)供負荷能力的快速松弛算法[J];武漢水利電力學(xué)院學(xué)報;1990年Z1期

2 蔣小蓉,周軍紅,劉本林;探測木星核能熱氣球的負荷能力[J];河海大學(xué)機械學(xué)院學(xué)報;1995年04期

3 楊冬彬;于永丞;;空調(diào)壓縮機過負荷能力變化趨勢淺析[J];日用電器;2012年04期

4 ;[J];;年期

相關(guān)博士學(xué)位論文 前1條

1 趙巖;面向在軌操作的人體負荷能力評估與預(yù)測研究[D];國防科學(xué)技術(shù)大學(xué);2014年

，

本文編號：1383535