摘要
研究并提出了一种CO2 气体保护焊电流波形的多参数自寻优智能控制法 ,电流波形的模糊寻优计及弧焊过程特征参数的综合影响 ,并以表征短路过渡综合性能的特征综合值作为弧焊过程定量评价和目标实时寻优的函数。在波控参数基值的基础上 ,基于综合性能寻优过程采用三级模糊调节算法 ,对电流波形参数分步调节寻优。该法实际上将双输入三输出式的波控参数模糊控制系统化为多路 ,开关性的双输入单输出式的模糊控制系统 ,通过短路及燃弧初始阶段的电流波形控制参数的模糊自寻优 ,逐步使波控参数和焊接规范参数达到和谐匹配 ,以实现焊接过程熔滴的稳定可控过渡 ,改善焊接过程的综合性能。
A self-optimizing intelligent control algorithm of current waveform parameters of CO2 gas shielded arc welding was put forward. The synthetic influence of the characteristic parameters of the welding droplet short-circuit transfer process is taken into account in the control algorithm. The synthetic value of characteristic parameters is taken for the quantitative evaluation and objective function, which is used to describe and evaluate the short-circuit transfer process of the welding in real time. Based on the basic values of the waveform parameters, a three-stage fuzzy control algorithm is used to adjust and optimize the current waveform parameters to their optimum values. By this way, a two-input-three-output type fuzzy control system is turned into a two-input-single-output type fuzzy control system with multichannel switch characteristics. Under the fuzzy self-optimizing of current waveform parameters during the short-circuit and at the stage of arc igniting, the waveform parameters and welding variables are adjusted progressively to a matching state. Thus, the droplet transfer of the welding process can be controlled, and the stability of the droplet transfer and the synthetic performance of the welding process can be improved.
出处
《焊接学报》
EI
CAS
CSCD
北大核心
2001年第4期26-30,共5页
Transactions of The China Welding Institution
基金
北京市教委科技发展计划项目的资助
关键词
电流波形
智能控制
自寻优
气体保护焊
CO2焊
Algorithms
Carbon dioxide
Electric currents
Fuzzy control
Intelligent control
