{"title":"设计了智能汽车增益自动调节模糊PD","authors":"Sunphong Thanok, S. Howimanporn","doi":"10.1109/CRC.2019.00016","DOIUrl":null,"url":null,"abstract":"This paper is focused on the design of steering, brake and throttle value system of an intelligent vehicle which is built by AIT. Heading direction is controlled to evaluate the efficiency of the proposed tuning gain PD with fuzzy algorithm. The heading controlled algorithm is based on the conventional PD control with fuzzy gain tuning rule. The result shows that the conventional PD controller compared with tuning gain PD with fuzzy algorithm has superior performance than the conventional PD controller.","PeriodicalId":414946,"journal":{"name":"2019 4th International Conference on Control, Robotics and Cybernetics (CRC)","volume":"460 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Designed Fuzzy PD with Automatic Gain Adjustment for Intelligent Vehicle\",\"authors\":\"Sunphong Thanok, S. Howimanporn\",\"doi\":\"10.1109/CRC.2019.00016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is focused on the design of steering, brake and throttle value system of an intelligent vehicle which is built by AIT. Heading direction is controlled to evaluate the efficiency of the proposed tuning gain PD with fuzzy algorithm. The heading controlled algorithm is based on the conventional PD control with fuzzy gain tuning rule. The result shows that the conventional PD controller compared with tuning gain PD with fuzzy algorithm has superior performance than the conventional PD controller.\",\"PeriodicalId\":414946,\"journal\":{\"name\":\"2019 4th International Conference on Control, Robotics and Cybernetics (CRC)\",\"volume\":\"460 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 4th International Conference on Control, Robotics and Cybernetics (CRC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CRC.2019.00016\",\"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 4th International Conference on Control, Robotics and Cybernetics (CRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CRC.2019.00016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Designed Fuzzy PD with Automatic Gain Adjustment for Intelligent Vehicle
This paper is focused on the design of steering, brake and throttle value system of an intelligent vehicle which is built by AIT. Heading direction is controlled to evaluate the efficiency of the proposed tuning gain PD with fuzzy algorithm. The heading controlled algorithm is based on the conventional PD control with fuzzy gain tuning rule. The result shows that the conventional PD controller compared with tuning gain PD with fuzzy algorithm has superior performance than the conventional PD controller.
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