{"title":"一种基于伪差分反馈的电梯群控调度算法","authors":"Sheng Wu, Guifang Wu","doi":"10.1109/ICAL.2012.6308180","DOIUrl":null,"url":null,"abstract":"For the non-determinacy of transportation characteristics of the elevator group control scheduling process, an elevator group control system model is established, which including the shortest waiting time, the shortest by ladder time and the least energy consumption. Along with a scheduling strategy of elevator group control based on pseudo differential feedback (PDF) control which can content the requirement of an adaptable elevator group control performance is presented. The algorithm will be improved to achieve better dispatching result and simulation experiment effect finally. The simulation results show that this method compared with other algorithms in elevator group control scheduling performance and traffic model's adaptability has greatly improved.","PeriodicalId":373152,"journal":{"name":"2012 IEEE International Conference on Automation and Logistics","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A novel elevator group control scheduling algorithm based on pseudo differential feedback\",\"authors\":\"Sheng Wu, Guifang Wu\",\"doi\":\"10.1109/ICAL.2012.6308180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the non-determinacy of transportation characteristics of the elevator group control scheduling process, an elevator group control system model is established, which including the shortest waiting time, the shortest by ladder time and the least energy consumption. Along with a scheduling strategy of elevator group control based on pseudo differential feedback (PDF) control which can content the requirement of an adaptable elevator group control performance is presented. The algorithm will be improved to achieve better dispatching result and simulation experiment effect finally. The simulation results show that this method compared with other algorithms in elevator group control scheduling performance and traffic model's adaptability has greatly improved.\",\"PeriodicalId\":373152,\"journal\":{\"name\":\"2012 IEEE International Conference on Automation and Logistics\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Conference on Automation and Logistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAL.2012.6308180\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Automation and Logistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAL.2012.6308180","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel elevator group control scheduling algorithm based on pseudo differential feedback
For the non-determinacy of transportation characteristics of the elevator group control scheduling process, an elevator group control system model is established, which including the shortest waiting time, the shortest by ladder time and the least energy consumption. Along with a scheduling strategy of elevator group control based on pseudo differential feedback (PDF) control which can content the requirement of an adaptable elevator group control performance is presented. The algorithm will be improved to achieve better dispatching result and simulation experiment effect finally. The simulation results show that this method compared with other algorithms in elevator group control scheduling performance and traffic model's adaptability has greatly improved.