(论文翻译 页数:60 字数:28022)锅炉焊接系统的硬件结构和控制算法。其主要目的是利用模糊控制器弥补传统焊接工艺在精度上的不足。结合PID控制算法从而提高了随动系统的纠偏精度。
第一章介绍了本文的课题背景，智能控制，模糊控制，模糊神经网络的发展历史以及该系统的结构和工作原理和本人所做的工作。
第二章介绍了检测元件位移传感器的原理和技术指标和使用方法及信号放大电路。
第三章介绍了构成整个焊接系统的各个硬件设备的工作原理。
第四章介绍了模糊控制器的结构和原理。
第五章介绍了各个芯片的软件启动程序及本系统的干扰及抗干扰措施。


关键词：模糊控制；控制算法；智能控制

The Application of the Fuzzy Control
in the Boiler Welding Process
Abstract
This thesis is written in five chapters to introduce the frame of hardware control algorithm and the run results of a set of servo system in attached project .The main aim is to introduce a kind of high performance real-time digital servo controller .It combines the three-mode control and dynamical fuzzy neural network control and improves the tracking accuracy of system and expends the control algorithm in servo system.
In the first chapter, the background of this thesis, the improvement of neural network, fuzzy logic and fuzzy neural network, the performance required for the servo system, the theory and frame of the servo system are introduced.
In the second chapter, it introduced the spread to feel machine.
In the third chapter, the relationship between all of the hardware of this servo system and the method of using all the hardware are introduced
In the fourth chapter, the frame and theory of intelligence control, fuzzy logical are introduced.
The main content of the fifth chapter is to introduce a new type dynamical fuzzy neural network controller (DFNN).It synthesizes the fuzzy logic, recurrent neural network and PID controller naturally .The requirements of highly stable accuracy .Good robust and practical algorithm for the servo controller is guaranteed by DFNN.


Keyword: fuzzy control；control algorithm；intelligence control