【導(dǎo)讀】分代替腦力勞動的工具。它與人類在農(nóng)業(yè)、工業(yè)社會中創(chuàng)造的那些只是增強。體力勞動的工具相比，起了質(zhì)的飛躍，為人類進入信息社會奠定了基礎(chǔ)。從此，傳統(tǒng)機床產(chǎn)生了質(zhì)的變化。近半個世紀以來，數(shù)控系統(tǒng)經(jīng)歷。了兩個階段和六代的發(fā)展。用，在中小企業(yè)甚至個體企業(yè)中也普遍開始使用。使用效率不高，管理方式落后的狀態(tài)。2021年，我國機床工業(yè)產(chǎn)值已進入。于美國的億美元，消費額比上一年增長25%。躍升至世界第2位，達億美元，比上年增長%。更多的數(shù)控系統(tǒng)生產(chǎn)廠家會走上這條道路。PC機所具有的友好的人機界面，將普及到所有的數(shù)控系統(tǒng)。診斷和維修將更加普遍。到改進系統(tǒng)運行狀態(tài)的目的。性均來自數(shù)控系統(tǒng)所包含的計算機的威力。的效益受到影響，嚴重的使企業(yè)陷入困境。高、產(chǎn)品合格率低而造成虧損；有的已引進較長時間，需要進行技術(shù)更新。

　　

【正文】 (720) 復(fù)合安全系數(shù)： ][2222 SSSSSS ??????????? (721) 學士學位論文 36 結(jié)論 經(jīng)過這幾個月緊張的畢業(yè)設(shè)計，讓我對大學四年中所學的基礎(chǔ)知識和專業(yè)知識進行了一次全面的溫習和總結(jié)。由衷的感覺到自己所掌握的知識量少、淺顯，需要大量的閱讀來充實自己。 C6150普通車床的改進，是在機床原有電機上聯(lián)接一個變頻器，由變頻器改變電流的頻率，進而改變電機的輸出轉(zhuǎn)速。由于電機的輸出轉(zhuǎn)速是可變的，故原主傳動系統(tǒng)中的一些用于轉(zhuǎn)速放大 或縮小的齒輪和軸就會因為多余而被刪除。因為受到電機性能的限制，通過改變有限的頻率范圍而獲得的主軸轉(zhuǎn)速也畢竟有限，所以必須通過齒輪的輪傳動對電機輸出速度進行放大或縮小，故保留兩對雙聯(lián)齒輪變速 , 齒輪箱中傳動軸位置不變。由于改進后的主軸轉(zhuǎn)速有所提高，因此支承主軸的軸承精度也需相對提高一級。 通過這次畢業(yè)設(shè)計，培養(yǎng)了我的自我學習能力，同時，在一定程度上掌握了機床主傳動系統(tǒng)設(shè)計的方法及步驟，提高了獨立分析問題和解決問題的能力。在整個過程中，我查閱大量的資料，利用網(wǎng)絡(luò)獲取最新的消息與資訊，使我意思到各種現(xiàn)代科技手段對 科學研究的重要性，更重要的是培養(yǎng)了自己嚴謹?shù)墓ぷ髯黠L和嚴肅認真的科學態(tài)度。 學士學位論文 37 致謝 本次設(shè)計工作是在 李永海導(dǎo)師的指導(dǎo)下完成的。在設(shè)計過程中，我遇到了不會的問題，李 老師總是耐心的給我講解，而且給我找來了許多相關(guān)的資料以供查閱，在實驗總體設(shè)計和論文審閱等方面進行了大量的指導(dǎo)，使我的論文得以順利完成，同時，李老師在機械結(jié)構(gòu)方面 也給予了我大量的幫助。在此對 導(dǎo)師表示由衷的感謝。 由于本人水平有限，設(shè)計中的錯誤和遺漏之處在所難免，希望各位老師給予指正和修改，在此表示誠摯的謝意。 設(shè)計者： 和宇新 2021年 6月于哈理工 學士學位論文 38 參考文獻 1 邱宣懷主編 .機械設(shè)計 .高等教育出版社， 2021： 176～ 320 2 華東紡織工學院、哈工大、天津大學主編 .機床設(shè)計手冊 .上?？茖W技術(shù) 出版社， 1984： 42～ 49 3 上海第二機床廠 .C6150普通車床的主傳動結(jié)構(gòu) .1～ 4 4 謝紅等編 .C6150車床數(shù)控改造主傳動系統(tǒng)設(shè)計 .2021： 110～ 120 5 趙中敏編 .機床數(shù)控改造探討 .中國設(shè)備工程 ： 13～ 14 6 劉品、李哲主編 .機械精度設(shè)計與檢測基礎(chǔ) .哈爾濱工業(yè)大學出版社， 2021： 31～ 75 7 華為電氣公司 .華為變頻器技術(shù)交流提綱 .1～ 24 8 王峰 .主傳動系統(tǒng)優(yōu)化設(shè)計及數(shù)控技術(shù)改造 .2021， 1～ 58 9 顧熙常主編 .金屬切削機床 .上?？茖W技術(shù)出版社， 1995： 94～ 153 10 吳圣莊主編 .金屬切削機床概論 .機械工業(yè)出版社， 1993： 41～ 89 11 P N Rao,Manufacturing Technology— Metal Cutting amp。 Machine Tools， ： 376～ 425 12 哈爾濱理工大學機床教研室編 .機床設(shè)計指導(dǎo)書 .1995,12～ 56 13 機械設(shè)計手冊編寫組主編 .機械設(shè)計手冊 .機械工業(yè)出版社， 117～ 485 14 原魁、劉偉強主編 .變頻器基礎(chǔ)及應(yīng)用 .北京：冶金工業(yè)出版社， ： 46～ 183 15 姚錫祿主編 .變頻器控制技術(shù)與應(yīng)用 .福建：福建科學技術(shù)出版社， 2021： 16～ 67 16 、 and recurrentneuralwork sliding mode control for the XY table of a CNC Theory Appl., Vol. 153, No. 1, January 2021,1~14 學士學位論文 39 附錄 Robust recurrentneuralwork slidingmode control for the XY table of a CNC machine F. J. Lin, . Shieh and . Shen 1 Introduction Recurrent neural works (RNNs) containing both feedforward and feedback connections have been extensively used to model and control plicated dynamic systems. Since a recurrent neuron has an internal feedback loop that is able to capture the dynamic response of a system without recourse to external feedback through delays, RNNs have superior capabilities to those of feedforward neural works. RNNs have the ability to deal with a timevarying input or output due to their own natural temporal operation. Therefore, RNNs are a dynamic mapping of the system and demonstrate a good control performance in the presence of unmodelled dynamics, parameter variations and external disturbances. In, a threelayer RNN is adopted as a pensator to reduce the influence of parameter variations and external disturbances of a permanentmag linear synchronous motor (PMLSM) servo drive system. Although a dynamic backpropagation algorithm is developed to train the RNN online using the delta adaptation law, the stability of the RNN control system is not proven. An adaptive hybrid control system using a threelayer RNN is proposed in to control a PMLSM servo drive system. In this adaptive hybrid control system, the RNN controller is used as the main tracking controller which mimics an optimal control law, and a pensated controller is developed that pensates the difference between the optimal control law and the RNN 學士學位論文 40 , an online parameter training methodology for the RNN, which is derived using the Lyapunov stability theorem and backpropagation method, is proposed to guarantee the asymptotic stability of the control system.. In addition, to relax the requirement for bounds on the minimum approximation error and Taylor highorder terms, two simple adaptive algorithms are utilised to estimate these bounds. However, some adaptation laws of the parameters in the RNN are puted using the backpropagation algorithm. Computer numerical controlled (CNC) machines have bee important elements in modern manufacturing systems. CNC machines generally can be divided into two parts: (i) mechanical parts with servo drive systems。 and (ii) servo controllers that control the multiaxis motion of the mechanical parts. In general, a CNC machine contains an XY table with a zaxis motion mechanism with each motion axis being driven by an individual actuator system, such as a DC or AC structure usually leads to the existence of unmodelled dynamics,coupled interferences,unmeasured friction,and disturbances,which often significantly deteriorate the system performance during a machining process. Many studies that attempt to improve the tracking performance in a machining process by improving the control performance have been reported in the literature. The stability of a CNC machine with an output timedelay and measurement error was studied in. The phase margin and frequency response were used in the controller design to determine the regions of system stability. However, crosscoupled dynamics, loadtorque disturbances and uncertainties in the movement mechanism of each individual axis were not considered in the stability analysis. However, the deadzone nonlinearity due to the mechanical motion system was pensated for using an adaptive fuzzy controller. From the results presented in, it is obvious that the deadzone nonlinearity could be 學士學位論文 41 effectively pensated, however, the linear statefeedback control used for the position tracking control was designed without consideration of robustness. Nonlinear friction pensation based on singleaxis motion dynamics was presented in that utilised the crosscoupled effect of the XY table. The nonlinear frictional force cre