{"title":"基于改进遗传算法的电液系统次优控制","authors":"Wang Jin, Zhang Min, Guobing Huang","doi":"10.1109/FPM.2011.6045722","DOIUrl":null,"url":null,"abstract":"In the work, a suboptimal controller is proposed for an electro-hydraulic system. The controller design bases on a recent genetic algorithm. The genetic algorithm can select the weighting matrices with respect to the suboptimal control scheme. In addition, in order to improve robust performance of the electro-hydraulic system, parameter uncertainties are considered in the process of genetic search. Simulation results show that stability and robust performance are both desirable, which demonstrates the effectiveness of the proposed method.","PeriodicalId":241423,"journal":{"name":"Proceedings of 2011 International Conference on Fluid Power and Mechatronics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Suboptimal control of an electro-hydraulic system based on improved genetic algorithm\",\"authors\":\"Wang Jin, Zhang Min, Guobing Huang\",\"doi\":\"10.1109/FPM.2011.6045722\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the work, a suboptimal controller is proposed for an electro-hydraulic system. The controller design bases on a recent genetic algorithm. The genetic algorithm can select the weighting matrices with respect to the suboptimal control scheme. In addition, in order to improve robust performance of the electro-hydraulic system, parameter uncertainties are considered in the process of genetic search. Simulation results show that stability and robust performance are both desirable, which demonstrates the effectiveness of the proposed method.\",\"PeriodicalId\":241423,\"journal\":{\"name\":\"Proceedings of 2011 International Conference on Fluid Power and Mechatronics\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2011 International Conference on Fluid Power and Mechatronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FPM.2011.6045722\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2011 International Conference on Fluid Power and Mechatronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPM.2011.6045722","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Suboptimal control of an electro-hydraulic system based on improved genetic algorithm
In the work, a suboptimal controller is proposed for an electro-hydraulic system. The controller design bases on a recent genetic algorithm. The genetic algorithm can select the weighting matrices with respect to the suboptimal control scheme. In addition, in order to improve robust performance of the electro-hydraulic system, parameter uncertainties are considered in the process of genetic search. Simulation results show that stability and robust performance are both desirable, which demonstrates the effectiveness of the proposed method.
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