{"title":"伺服液压系统中的自适应神经模糊摩擦补偿器","authors":"S. Hutamarn, P. Pratumsuwan, W. Po-ngaen","doi":"10.1109/ICMA.2011.5986307","DOIUrl":null,"url":null,"abstract":"Because of the friction nonlinearity characteristic in hydraulic system, high steady state error and overshoot have occurred in the position response as a typical imperfect implementation of associated control dynamic. In this situation, there is a necessity to be able to effectively utilizing the intelligent controller framework. The primary purpose of this research is to develop a control algorithm based on two neuro-fuzzy for a hydraulic servo system. This precompensator neuro-fuzzy combined with fuzzy controller will be implemented to enhance the overall performance. Experiments were carried out and the experimental results illustrated that the above pre-compensated intelligent framework can improve the overall the performance.","PeriodicalId":317730,"journal":{"name":"2011 IEEE International Conference on Mechatronics and Automation","volume":"352 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Adaptive neuro-fuzzy friction compensator in servo hydraulic system\",\"authors\":\"S. Hutamarn, P. Pratumsuwan, W. Po-ngaen\",\"doi\":\"10.1109/ICMA.2011.5986307\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Because of the friction nonlinearity characteristic in hydraulic system, high steady state error and overshoot have occurred in the position response as a typical imperfect implementation of associated control dynamic. In this situation, there is a necessity to be able to effectively utilizing the intelligent controller framework. The primary purpose of this research is to develop a control algorithm based on two neuro-fuzzy for a hydraulic servo system. This precompensator neuro-fuzzy combined with fuzzy controller will be implemented to enhance the overall performance. Experiments were carried out and the experimental results illustrated that the above pre-compensated intelligent framework can improve the overall the performance.\",\"PeriodicalId\":317730,\"journal\":{\"name\":\"2011 IEEE International Conference on Mechatronics and Automation\",\"volume\":\"352 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Mechatronics and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMA.2011.5986307\",\"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 Mechatronics and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMA.2011.5986307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive neuro-fuzzy friction compensator in servo hydraulic system
Because of the friction nonlinearity characteristic in hydraulic system, high steady state error and overshoot have occurred in the position response as a typical imperfect implementation of associated control dynamic. In this situation, there is a necessity to be able to effectively utilizing the intelligent controller framework. The primary purpose of this research is to develop a control algorithm based on two neuro-fuzzy for a hydraulic servo system. This precompensator neuro-fuzzy combined with fuzzy controller will be implemented to enhance the overall performance. Experiments were carried out and the experimental results illustrated that the above pre-compensated intelligent framework can improve the overall the performance.
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