{"title":"基于免疫粒子群优化算法的增量PID控制器","authors":"Zhang Wei","doi":"10.1109/cesa.2006.313632","DOIUrl":null,"url":null,"abstract":"Based on the astringency and practicability of Particle Swarm Optimization Algorithm(PSO) and T cell's promotions and B cell's restrainability of Immunity Particle Swarm Optimization Algorithm (IMPSO) and applied it to PID controllers.It is clear that IMPSO is suitable to Increment PID control according to the simulations and it made the tracking and anti-jamming of IM PID based on IMPSO,IMPSO more effective than those of PID based on PSO and those of IMPID based on Immunity Algorithm.","PeriodicalId":18640,"journal":{"name":"Microcomputer Information","volume":"36 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Increment PID Controller Based on Immunity Particle Swarm Optimization Algorithm\",\"authors\":\"Zhang Wei\",\"doi\":\"10.1109/cesa.2006.313632\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the astringency and practicability of Particle Swarm Optimization Algorithm(PSO) and T cell's promotions and B cell's restrainability of Immunity Particle Swarm Optimization Algorithm (IMPSO) and applied it to PID controllers.It is clear that IMPSO is suitable to Increment PID control according to the simulations and it made the tracking and anti-jamming of IM PID based on IMPSO,IMPSO more effective than those of PID based on PSO and those of IMPID based on Immunity Algorithm.\",\"PeriodicalId\":18640,\"journal\":{\"name\":\"Microcomputer Information\",\"volume\":\"36 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microcomputer Information\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://doi.org/10.1109/cesa.2006.313632\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microcomputer Information","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1109/cesa.2006.313632","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Increment PID Controller Based on Immunity Particle Swarm Optimization Algorithm
Based on the astringency and practicability of Particle Swarm Optimization Algorithm(PSO) and T cell's promotions and B cell's restrainability of Immunity Particle Swarm Optimization Algorithm (IMPSO) and applied it to PID controllers.It is clear that IMPSO is suitable to Increment PID control according to the simulations and it made the tracking and anti-jamming of IM PID based on IMPSO,IMPSO more effective than those of PID based on PSO and those of IMPID based on Immunity Algorithm.