{"title":"模因算法在线性倒立摆控制中的应用","authors":"Jing Zhang, Lixiang Zhang, Jingjing Xie","doi":"10.1109/CCIS.2011.6045041","DOIUrl":null,"url":null,"abstract":"The inverted pendulum is a kind of system with multi-variables, non-linearity, strong coupling and instinct instability, for which efficient and effective control strategies are needed to keep the pendulum stable at the position of dynamic balance. This paper applies memetic algorithm (MA) to obtain the optimal parameter settings for the LQR controller for the inverted pendulum system. By contrast with the results of the traditional LQR controlling system, a conclusion could be drawn that MA performs better in terms of effectiveness.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Application of memetic algorithm in control of linear inverted pendulum\",\"authors\":\"Jing Zhang, Lixiang Zhang, Jingjing Xie\",\"doi\":\"10.1109/CCIS.2011.6045041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The inverted pendulum is a kind of system with multi-variables, non-linearity, strong coupling and instinct instability, for which efficient and effective control strategies are needed to keep the pendulum stable at the position of dynamic balance. This paper applies memetic algorithm (MA) to obtain the optimal parameter settings for the LQR controller for the inverted pendulum system. By contrast with the results of the traditional LQR controlling system, a conclusion could be drawn that MA performs better in terms of effectiveness.\",\"PeriodicalId\":128504,\"journal\":{\"name\":\"2011 IEEE International Conference on Cloud Computing and Intelligence Systems\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Cloud Computing and Intelligence Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCIS.2011.6045041\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIS.2011.6045041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of memetic algorithm in control of linear inverted pendulum
The inverted pendulum is a kind of system with multi-variables, non-linearity, strong coupling and instinct instability, for which efficient and effective control strategies are needed to keep the pendulum stable at the position of dynamic balance. This paper applies memetic algorithm (MA) to obtain the optimal parameter settings for the LQR controller for the inverted pendulum system. By contrast with the results of the traditional LQR controlling system, a conclusion could be drawn that MA performs better in terms of effectiveness.