{"title":"基于支持向量机的控制器参数优化方法","authors":"Toshiki Saito, Ryo Kikuchi, T. Atsumi","doi":"10.1109/ICIT.2019.8754947","DOIUrl":null,"url":null,"abstract":"In actual industrial processes, it is difficult to optimize parameters for a control system because of its perturbations. As a result, the performance of the control system may depend on a designer experience. To solve this problem, we have proposed a method to optimize the controller parameters with support vector machine. With the proposed method, we can obtain a robust controller without the need for designer's rich experience. Experimental results show that the proposed method enables us to design parameters for a robust controller in a two-wheeled inverted pendulum.","PeriodicalId":6701,"journal":{"name":"2019 IEEE International Conference on Industrial Technology (ICIT)","volume":"43 1","pages":"157-162"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimization Method for Controller Parameters Using Support Vector Machine\",\"authors\":\"Toshiki Saito, Ryo Kikuchi, T. Atsumi\",\"doi\":\"10.1109/ICIT.2019.8754947\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In actual industrial processes, it is difficult to optimize parameters for a control system because of its perturbations. As a result, the performance of the control system may depend on a designer experience. To solve this problem, we have proposed a method to optimize the controller parameters with support vector machine. With the proposed method, we can obtain a robust controller without the need for designer's rich experience. Experimental results show that the proposed method enables us to design parameters for a robust controller in a two-wheeled inverted pendulum.\",\"PeriodicalId\":6701,\"journal\":{\"name\":\"2019 IEEE International Conference on Industrial Technology (ICIT)\",\"volume\":\"43 1\",\"pages\":\"157-162\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conference on Industrial Technology (ICIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIT.2019.8754947\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Industrial Technology (ICIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2019.8754947","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization Method for Controller Parameters Using Support Vector Machine
In actual industrial processes, it is difficult to optimize parameters for a control system because of its perturbations. As a result, the performance of the control system may depend on a designer experience. To solve this problem, we have proposed a method to optimize the controller parameters with support vector machine. With the proposed method, we can obtain a robust controller without the need for designer's rich experience. Experimental results show that the proposed method enables us to design parameters for a robust controller in a two-wheeled inverted pendulum.