Yancheng Lv, Lin Lin, Jie Liu, Hao Guo, Chang-sheng Tong, Zhiquan Cui
{"title":"基于新生物地理学优化算法的钻井大车伸缩臂极限工况计算","authors":"Yancheng Lv, Lin Lin, Jie Liu, Hao Guo, Chang-sheng Tong, Zhiquan Cui","doi":"10.1109/PHM2022-London52454.2022.00016","DOIUrl":null,"url":null,"abstract":"As a key part of the boom structure of drilling jumbo, the structural stability of the telescopic boom plays a decisive role in the operational reliability of the drilling jumbo. However, the extreme condition of the telescopic boom in the existing optimization cases is determined according to the experience of designers, and there is a lack of research on the extreme condition of the telescopic boom. Given the above problem, the calculation model of the load at the top of the telescopic boom is constructed, and the Biogeography-Based Optimization (BBO) algorithm is used to optimize the pose parameters of the boom structure with the maximum optimization objective of the calculation results of the model. To solve the problem of insufficient adaptability of the linear migration model, 12 nonlinear migration models are proposed and combined with the original BBO algorithm. The performance tests of various migration models are carried out by calculating the limit value of the load at the top of the telescopic boom, the results show that the overall performance and stability of the BBO algorithm based on the exponential migration model is better than other classic optimization algorithms and BBO algorithms based on other migration models. The exponential migration model can better adapt to the nonlinear migration problem, and the corresponding BBO algorithm has better optimization ability.","PeriodicalId":269605,"journal":{"name":"2022 Prognostics and Health Management Conference (PHM-2022 London)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Calculation of Extreme Condition of Telescopic Boom of Drilling Jumbo Based on New Biogeography-Based Optimization Algorithm\",\"authors\":\"Yancheng Lv, Lin Lin, Jie Liu, Hao Guo, Chang-sheng Tong, Zhiquan Cui\",\"doi\":\"10.1109/PHM2022-London52454.2022.00016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As a key part of the boom structure of drilling jumbo, the structural stability of the telescopic boom plays a decisive role in the operational reliability of the drilling jumbo. However, the extreme condition of the telescopic boom in the existing optimization cases is determined according to the experience of designers, and there is a lack of research on the extreme condition of the telescopic boom. Given the above problem, the calculation model of the load at the top of the telescopic boom is constructed, and the Biogeography-Based Optimization (BBO) algorithm is used to optimize the pose parameters of the boom structure with the maximum optimization objective of the calculation results of the model. To solve the problem of insufficient adaptability of the linear migration model, 12 nonlinear migration models are proposed and combined with the original BBO algorithm. The performance tests of various migration models are carried out by calculating the limit value of the load at the top of the telescopic boom, the results show that the overall performance and stability of the BBO algorithm based on the exponential migration model is better than other classic optimization algorithms and BBO algorithms based on other migration models. The exponential migration model can better adapt to the nonlinear migration problem, and the corresponding BBO algorithm has better optimization ability.\",\"PeriodicalId\":269605,\"journal\":{\"name\":\"2022 Prognostics and Health Management Conference (PHM-2022 London)\",\"volume\":\"110 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Prognostics and Health Management Conference (PHM-2022 London)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PHM2022-London52454.2022.00016\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Prognostics and Health Management Conference (PHM-2022 London)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PHM2022-London52454.2022.00016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Calculation of Extreme Condition of Telescopic Boom of Drilling Jumbo Based on New Biogeography-Based Optimization Algorithm
As a key part of the boom structure of drilling jumbo, the structural stability of the telescopic boom plays a decisive role in the operational reliability of the drilling jumbo. However, the extreme condition of the telescopic boom in the existing optimization cases is determined according to the experience of designers, and there is a lack of research on the extreme condition of the telescopic boom. Given the above problem, the calculation model of the load at the top of the telescopic boom is constructed, and the Biogeography-Based Optimization (BBO) algorithm is used to optimize the pose parameters of the boom structure with the maximum optimization objective of the calculation results of the model. To solve the problem of insufficient adaptability of the linear migration model, 12 nonlinear migration models are proposed and combined with the original BBO algorithm. The performance tests of various migration models are carried out by calculating the limit value of the load at the top of the telescopic boom, the results show that the overall performance and stability of the BBO algorithm based on the exponential migration model is better than other classic optimization algorithms and BBO algorithms based on other migration models. The exponential migration model can better adapt to the nonlinear migration problem, and the corresponding BBO algorithm has better optimization ability.