{"title":"基于变域模糊PID控制的隧道通风系统","authors":"Zhang Chen","doi":"10.1109/ICDSCA56264.2022.9988294","DOIUrl":null,"url":null,"abstract":"In order to further improve the control efficiency of the tunnel ventilation system and reduce the energy consumption and the maintenance of the operating environment, the fuzzy PID control algorithm is used to fuzzify the tunnel ventilation control system, and the control system is redesigned based on the idea of variable universe. The input and output of the system and the scalable factor, the variable universe adaptive fuzzy PID control algorithm is applied to the tunnel ventilation control system. The simulation simulator is designed by oneself, and the fuzzy PID control system is combined with the variable universe scalable factor control system, and the simulation results of the control system are studied in the simulation software. The results show that in the tunnel ventilation control system, compared with the general traditional fuzzy PID control system, the variable universe fuzzy PID control system has better control effect, and its overshoot is smaller and the adjustment time is shorter.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tunnel Ventilation System Based on Variable Universe Fuzzy PID Control\",\"authors\":\"Zhang Chen\",\"doi\":\"10.1109/ICDSCA56264.2022.9988294\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to further improve the control efficiency of the tunnel ventilation system and reduce the energy consumption and the maintenance of the operating environment, the fuzzy PID control algorithm is used to fuzzify the tunnel ventilation control system, and the control system is redesigned based on the idea of variable universe. The input and output of the system and the scalable factor, the variable universe adaptive fuzzy PID control algorithm is applied to the tunnel ventilation control system. The simulation simulator is designed by oneself, and the fuzzy PID control system is combined with the variable universe scalable factor control system, and the simulation results of the control system are studied in the simulation software. The results show that in the tunnel ventilation control system, compared with the general traditional fuzzy PID control system, the variable universe fuzzy PID control system has better control effect, and its overshoot is smaller and the adjustment time is shorter.\",\"PeriodicalId\":416983,\"journal\":{\"name\":\"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDSCA56264.2022.9988294\",\"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 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSCA56264.2022.9988294","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tunnel Ventilation System Based on Variable Universe Fuzzy PID Control
In order to further improve the control efficiency of the tunnel ventilation system and reduce the energy consumption and the maintenance of the operating environment, the fuzzy PID control algorithm is used to fuzzify the tunnel ventilation control system, and the control system is redesigned based on the idea of variable universe. The input and output of the system and the scalable factor, the variable universe adaptive fuzzy PID control algorithm is applied to the tunnel ventilation control system. The simulation simulator is designed by oneself, and the fuzzy PID control system is combined with the variable universe scalable factor control system, and the simulation results of the control system are studied in the simulation software. The results show that in the tunnel ventilation control system, compared with the general traditional fuzzy PID control system, the variable universe fuzzy PID control system has better control effect, and its overshoot is smaller and the adjustment time is shorter.