{"title":"模糊PID控制器在矿浆浓度控制中的设计与应用","authors":"Minghui Li, Qin Zhang","doi":"10.1109/ICLSIM.2010.5461151","DOIUrl":null,"url":null,"abstract":"Conventional PID controller could not adjust its parameters online, a fuzzy PID control algorithm was introduced. It can automatically change PID controller's parameters according to object's characteristic and it integrates the advantages of fuzzy control with PID control, so it can improve the control speed and accuracy greatly. We applied this control algorithm in pulp concentration control system successfully. The results shows that fuzzy PID controller has good dynamic quality, fast response, no overshoot, no steady state deviation, and has practical significance.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The design and application of fuzzy PID controller in pulp concentration control\",\"authors\":\"Minghui Li, Qin Zhang\",\"doi\":\"10.1109/ICLSIM.2010.5461151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Conventional PID controller could not adjust its parameters online, a fuzzy PID control algorithm was introduced. It can automatically change PID controller's parameters according to object's characteristic and it integrates the advantages of fuzzy control with PID control, so it can improve the control speed and accuracy greatly. We applied this control algorithm in pulp concentration control system successfully. The results shows that fuzzy PID controller has good dynamic quality, fast response, no overshoot, no steady state deviation, and has practical significance.\",\"PeriodicalId\":249102,\"journal\":{\"name\":\"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICLSIM.2010.5461151\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICLSIM.2010.5461151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The design and application of fuzzy PID controller in pulp concentration control
Conventional PID controller could not adjust its parameters online, a fuzzy PID control algorithm was introduced. It can automatically change PID controller's parameters according to object's characteristic and it integrates the advantages of fuzzy control with PID control, so it can improve the control speed and accuracy greatly. We applied this control algorithm in pulp concentration control system successfully. The results shows that fuzzy PID controller has good dynamic quality, fast response, no overshoot, no steady state deviation, and has practical significance.
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