期刊文献+

基于ANFIS的焊接电源群优先级群控策略 被引量:1

Welding power source priority group control strategy based on ANFIS
下载PDF
导出
摘要 为改善在焊接电源群同时启动和外网电压波动等因素影响下,焊接质量下降、焊后产品变形加大的现状,提出了对焊接电源群采用优先级控制的概念。探讨了优先级群控系统的构成及控制流程和理论计算模型,构建了基于自适应模糊推理算法的单一焊接电源优先级计算网络模型。在此基础上,构建了控制对象为六个焊接电源的群控系统SIMULINK仿真模型,其中ANFIS控制模块封装有六个单一电源的优先级计算网络模型。仿真结果表明,所研究的群控策略和系统仿真模型实现了对焊接电源群的优先级计算,并根据正常焊接所采用的焊接参数和焊枪的位置参数,结合外网波动的情况和优先级计算参数,实现了焊接电源参数的有序调整,在保证焊缝质量并减小焊接变形的同时能够减小对外网的反激。 To improve the status of welding quality decreased and production dietorted after welding under the circumstance of synchronous operation of several welding powers,external voltage fluctuations and other factors,an idea of multi-power priority control theory was proposed.The structure of priority group control system as well as control flow and theoretical computation model was discussed.The neural network model of a single welding power source based on Adaptive Neuro-Fuzzy Inference System(ANFIS) algorithm was constructed.On the basis of above theory,the simulink model of group control system whose control object were six welding powers was construsted.ANFIS control module in the model consisted of six single welding powers priority neural network model.The simulation results showed that the proposed group control strategy and system simulation model realized priority computation for welding power group.According to the normal welding parameters and welding torch position parameters,combined external voltage fluctuation stata with priority computation parameters,an orderly adjustment of welding power supply parameters was realized.It ensured welding quality and reduced the welding distortion,while reducing the flyback of external networks voltage.
出处 《计算机集成制造系统》 EI CSCD 北大核心 2011年第10期2202-2209,共8页 Computer Integrated Manufacturing Systems
关键词 控制策略 优先级 自适应模糊推理 焊接电源 control strategy priority adaptive neuro-fuzzy inference system welding power source
  • 相关文献

参考文献13

  • 1PEDRAZZO G, BARONE C, RUTILI G. AC/DC generators with waveform control: innovation in submerged arc welding [J]. Welding International, 2009,23 (11) : 839-845.
  • 2朱振友,林涛,陈善本.Guiding the welding robot to the initial welding position with visual method[J].China Welding,2008,17(1):12-17. 被引量:3
  • 3LEE H J, KIM H J, KIM S S, et al. Harmonic reduction of CO2 welding machine using single-switch, zhree phase boost converter with sixth order harmonic injected PWM[C]//Proceedings of ISIE 2001. Washington, D. C. ,USA:IEEE,2001: 1526-1529.
  • 4冯曰海,刘嘉,殷树言,王克鸿.新型低飞溅高能量短路过渡波形控制技术[J].焊接学报,2009,30(8):45-48. 被引量:6
  • 5KALYUZHNY A, RESHEF B, WEILER A, et al. Medium voltage reactive power compensation for Israel electric system [C]//Proceedings of the 19th Convention of Electrical and Electronics Engineers. Washington, D. C. , USA: IEEE, 1996: 311-315.
  • 6张宪,冯剑,赵章风,王扬渝.基于T-S模型和模糊神经网络的焊接电源群控[J].焊接学报,2007,28(9):67-70. 被引量:3
  • 7吴限德,孙兆伟,仲惟超.小卫星地面自动测试系统中实时数据库事务优先级分配算法[J].自动化学报,2009,35(6):814-819. 被引量:4
  • 8JANG J. ANFIS:adaptive-network-based fuzzy inference system[J]. IEEE Transactions on Systems, Man, Cybemetics, 1993,23(3) : 665-685.
  • 9EDWIN J, DHAS J, KUMANAN S. ANFIS for prediction of weld bead width in a submerged arc welding process[J]. Journal of Scientific & Industrial Research, 2007,66(4) : 335-338.
  • 10ZAPATA J, VILAR R, RUIZ R. An adaptive-network-based fuzzy inference system for classification of welding defects [J]. NDT & E International,2010,43(3) :191-199.

二级参考文献53

共引文献30

同被引文献19

  • 1张少如,吴爱国,盖彦荣,杜春燕,张雪辉,曲炳锋.并联型有源滤波器直流电压的简单自适应控制[J].电网技术,2007,31(17):11-15. 被引量:13
  • 2Bhende C N, Mishra S* S.K. Jain. TS-fiizzy-controlled active powerfilter for load eompensation[J] ? IEEE Transactions on PowerDelivejy, 2006, 21(3); 1459-1465.
  • 3Shukla S, Mishra S, Singh B. TS fuzzy based intelligent control of athree phase shunt filter under balanced and unbalancedconditions[C]//2010 Joint International Conference on PowerElectronics, Drives and Energy Systems & 2010 Power India. NewDelhi, India, 2010; 1-5.
  • 4Kumar G S, Kumar B K? Mishra M K. Mitigation of voltage sags withphase jumps by UPQC with PSO-based ANFIS[J]. IEEE Transactionson Power Delivery, 2011, 26(4): 2761-2773.
  • 5Hamadi At Al-Haddad K, LagaceP J* et al. Indirect current controltechniques of three phase APF using fuzzy logic and proportionalintegral controller: comparative analysis[C]//2004 11th InternationalConference on Harmonics and Quality of Power Publication Year,Lake Placid, NY,2004 : 362-367.
  • 6KomUrctigii Hasan, KUkrer Osman. A new control strategy forsingle-phase shunt active power filters using a Lyapunov function[J]. IEEE Trans on Industrial Electronics. 2006,53(1): 305-402.
  • 7Li Lanfang, Yang Honggeng, Guo Weiming, et al. NonlinearLyapunov-based stable control method of the single-phase shuntactive power filter[C]// International Conference on Energy,Environment and Sustainable Development. Shanghai,China, 2011:1390-1393.
  • 8Li Lanfang, Yang Honggeng, Guo Weiming. et al. Analysis andapplication of Lyapunov-based stable control of the single-phase shuntactive power filter[C]// APPEEC Organizing Committee. Shanghai,China, 2012.
  • 9Li Lanfang, Yang Honggeng, Guo Weiming, et al. Fuzzy control andLyapunov-based stable control of the single-phase shunt active powerfilter[C]//APPEEC Organizing Committee. Shanghai, China, 2012.
  • 10Wu J C,Jou H L. Simplified control method for the single-phaseactive power filter[J]. IEE Proceedings-Electric Power Applications,1996,143(3): 219-224.

引证文献1

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部