{"title":"基于MAC-IBA的激光焊接压力控制系统研究","authors":"Keliang Zhou, Qing Qin, Doudou Lu","doi":"10.1145/3558819.3565153","DOIUrl":null,"url":null,"abstract":"With the development of intelligent manufacturing in China, laser welding technology has entered the field of plastic welding from the initial welding in the metal field. At this stage, the domestic plastic welding technology is developing, and the requirements for the welding accuracy of the plastic shell of the reversing camera have also increased. Aiming at the problems of large inertia and hysteresis in the pressure part, this paper proposes an improved bat prediction algorithm to solve the pressure control accuracy. The optimal pressure control effect is obtained by introducing the improved bat algorithm combined with the MAC prediction algorithm to optimize the PID parameters. Combined with the experimental simulation results, it is shown that compared with the bat algorithm and the traditional PID algorithm, the improved bat prediction algorithm has better dynamic performance in pressure control, and the control pressure accuracy is high. At the same time, the disturbance test experiment is also added, and the algorithm shows strong robustness. The pressure part is better controlled, so that the welding accuracy of the reversing camera housing can be improved.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on laser welding pressure control system based on MAC-IBA\",\"authors\":\"Keliang Zhou, Qing Qin, Doudou Lu\",\"doi\":\"10.1145/3558819.3565153\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of intelligent manufacturing in China, laser welding technology has entered the field of plastic welding from the initial welding in the metal field. At this stage, the domestic plastic welding technology is developing, and the requirements for the welding accuracy of the plastic shell of the reversing camera have also increased. Aiming at the problems of large inertia and hysteresis in the pressure part, this paper proposes an improved bat prediction algorithm to solve the pressure control accuracy. The optimal pressure control effect is obtained by introducing the improved bat algorithm combined with the MAC prediction algorithm to optimize the PID parameters. Combined with the experimental simulation results, it is shown that compared with the bat algorithm and the traditional PID algorithm, the improved bat prediction algorithm has better dynamic performance in pressure control, and the control pressure accuracy is high. At the same time, the disturbance test experiment is also added, and the algorithm shows strong robustness. The pressure part is better controlled, so that the welding accuracy of the reversing camera housing can be improved.\",\"PeriodicalId\":373484,\"journal\":{\"name\":\"Proceedings of the 7th International Conference on Cyber Security and Information Engineering\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 7th International Conference on Cyber Security and Information Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3558819.3565153\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3558819.3565153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on laser welding pressure control system based on MAC-IBA
With the development of intelligent manufacturing in China, laser welding technology has entered the field of plastic welding from the initial welding in the metal field. At this stage, the domestic plastic welding technology is developing, and the requirements for the welding accuracy of the plastic shell of the reversing camera have also increased. Aiming at the problems of large inertia and hysteresis in the pressure part, this paper proposes an improved bat prediction algorithm to solve the pressure control accuracy. The optimal pressure control effect is obtained by introducing the improved bat algorithm combined with the MAC prediction algorithm to optimize the PID parameters. Combined with the experimental simulation results, it is shown that compared with the bat algorithm and the traditional PID algorithm, the improved bat prediction algorithm has better dynamic performance in pressure control, and the control pressure accuracy is high. At the same time, the disturbance test experiment is also added, and the algorithm shows strong robustness. The pressure part is better controlled, so that the welding accuracy of the reversing camera housing can be improved.