It possesses not only the self - learning ability and adaptability, but also the function of self - adjusting factors. based on fuzzy set, neural network theory, the fuzzy control model and fuzzy neural network control model of multi variable system are presented. based on the automatic core - welding line of shop floor control system in yangzhou radiator plant computer integrated manufacturing system ( ys - cims / sfcs ), the fuzzy logic theory was applied to the controlling device and established the main heating room fuzzy temperature controller and finally was put into practical use
本文採用了基於神經網路技術的智能pid控制策略，設計了一類具有自學習和自調整比例因子功能的神經元網路自適應pid控制器的結構及演算法；為解決結構不確定性的復雜多變量系統的控制，基於模
糊集及模
糊系統、神經網路理論，建立了多變量系統的模
糊控制模型及模
糊神經網路控制模型；針對揚州水箱廠計算機集成製造系統車間管理與控制系統（ ys - cims sfcs ）中的實際工程問題，設計和開發了散熱器芯子烘
焊自動線主烘腔溫度模
糊控制器，解決了生產中長期存在的老大難問題，提高了產品質量，降低了單產能耗。
Moreover, based on a mcu, the hardware and software are designed, and the feasibility and practicability of the self - adaptive fuzzy controller is proved by tests
同時，以單片機為主要控制硬體，進行了整個控制器的硬體和軟體設計，最後通過試驗，驗證了co _ 2氣體保護
焊自適應模
糊控制電弧傳感器的可行性和實用性。
A fuzzy control system of stepping motor for seam tracking is presented in this paper, the proposed system can realize the self - modify ing of the parameters and improve the characteristics of dynamic and static state of stepping driving system according to the error of seam tracking. the accuracy of seam tracking is enhanced obvi ously
介紹一種用於
焊縫跟蹤的步進電機模
糊控制系統，該系統可根據跟蹤偏差進行參數自調整，改善了步進驅動系統的動靜態特性，提高了
焊縫跟蹤精度。
Aerospace series - nickel base alloy ni - b40002 - filler metal for brazing - powder or paste
航空航天系列. ni - b40002鎳基合金.硬釬
焊用填充金屬.粉末或
糊料
Then the tendency and the hot aspect of research have been discussed. along with the further development of intelligent robotic technology and artificial intelligence theory, multi - agent welding system / pc controller and composite technique of the syncretism of fuzzy and nn should become the hot aspect of research
論述了
焊接機器人技術發展的趨勢及研究的熱點問題，即隨著智能機器人技術和人工智慧理論的進一步發展，多智能體
焊接系統、
焊接機器人中基於pc的控制器和模
糊邏輯與神經網路的融合技術將成為研究的熱點問題。
As a branch of intelligent control, fuzzy control is based on human ' s thought and does n ' t rely on mathematical model. and so it is a good method for auto - tracking in welding
而模
糊控製作為一種基於人類思維來設計的智能控制方法，控制策略不需要數學模型，為
焊接自動化提供了一條較好的途徑。
The result of the experiment showed that the fuzzy control technology is well compensatory to the penetration of welding bead. the equivalent circuit model established in saber is able to reflect the circuit in practice
實驗結果表明，採用的模
糊控制技術對
焊縫熔深有較好的補償性， saber模擬軟體所建立的等效電路模型能夠真實的反映實際電路。
Because of the nonlinear, time - variability and uncertainty of the submerged - arc welding progress, the characteristic of accurate mathematic model being hard to establish, we can adopt the fuzzy control technology to design the welding dolly control system, and the couple closed - loop fuzzy control velocity system and fuzzy control algorithm for the speed of the welding dolly are researched based on the control system of submerged ? arc welding
同時長時間工作也容易使人產生疲勞，影響
焊接質量。針對埋弧
焊過程的非線性、時變性和不確定性，難以建立精確的數學模型等特點，採用模
糊控制來設計
焊接小車控制系統，同時研究了
焊接小車雙閉環模
糊調速系統，並針對
焊接小車速度的雙閉環模
糊控制演算法進行討論。
Fuzzy cp network - based self - learning controller and its application to powder overlaying welding
基於模
糊對向網路的自學習控制器及其在噴
焊中的應用
The seam - tracking system based on fuzzy neural networks
基於模
糊神經網路的
焊縫跟蹤演算法
Assessment of metal explosive welding effect by fuzzy mathematics algorithm
金屬爆炸
焊接效果模
糊評價方法研究
In order to improve the accuracy and the real time performance of edge detection, a method need to be found to match the detection of low contrast blurred welding seam image
為提高邊緣檢測的準確性和實時性，需要尋找一種適合於低對比度模
糊焊縫圖象邊緣檢測的快速方法。
In this thesis, an arc sensor based on fuzzy control is designed. through the change of welding current in waving, the arc sensor judges the excursion and provides the adjusting output, meanwhile, it transmits the data acquired to a personal computer to be displayed and analyzed
本文介紹了短路過渡的co _ 2氣體保護
焊電弧傳感器，通過對擺動過程中
焊接電流的變化來判別
焊縫偏移情況，採用模
糊控制得到控制輸出，並將數據經串口通信傳送到pc機上加以顯示和分析。
Weld defects distinguishing method based on fuzzy neural networks
基於模
糊神經網路的
焊縫缺陷識別方法的研究
A fuzzy controller with two input variables and one output variable is considered to be suitable to control weld pool width. the input variables of the fuzzy controller are the variation of the welding pool width and its rate, and the output variable is the welding currert
本文對熔寬模糊控制器的結構以及模糊控制變量的選擇進行了討論，在此模糊控制系統中採用雙輸入單輸出的模糊控制器模型，即採用熔寬的變化及其變化率作為模糊控制器的兩輸入量，採用焊接電流作為模糊控制器的輸出量。
