{"title":"电磁扫描微镜的BP神经网络PID控制方法","authors":"Zuming He, Ruili Dong, Yonghong Tan","doi":"10.1109/RCAR54675.2022.9872295","DOIUrl":null,"url":null,"abstract":"In this paper, in order to improve the unexpected dynamic performance and input hysteresis of MEMS electromagnetic scanning micromirror (MEMS-ESM), a BP neural network PID control (BP-PID) scheme is adopted. Firstly, the BP-PID controller is designed, and since then PID parameters is self-adjusted by tracking error. Finally, the results of experiment show that the BP-PID control can improve the unexpected dynamic performance of the MEMS-ESM, with faster response speed and smaller tracking error.","PeriodicalId":304963,"journal":{"name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"BP Neural Network PID Control Scheme for Electromagnetic Scanning Micromirror*\",\"authors\":\"Zuming He, Ruili Dong, Yonghong Tan\",\"doi\":\"10.1109/RCAR54675.2022.9872295\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, in order to improve the unexpected dynamic performance and input hysteresis of MEMS electromagnetic scanning micromirror (MEMS-ESM), a BP neural network PID control (BP-PID) scheme is adopted. Firstly, the BP-PID controller is designed, and since then PID parameters is self-adjusted by tracking error. Finally, the results of experiment show that the BP-PID control can improve the unexpected dynamic performance of the MEMS-ESM, with faster response speed and smaller tracking error.\",\"PeriodicalId\":304963,\"journal\":{\"name\":\"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RCAR54675.2022.9872295\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RCAR54675.2022.9872295","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
BP Neural Network PID Control Scheme for Electromagnetic Scanning Micromirror*
In this paper, in order to improve the unexpected dynamic performance and input hysteresis of MEMS electromagnetic scanning micromirror (MEMS-ESM), a BP neural network PID control (BP-PID) scheme is adopted. Firstly, the BP-PID controller is designed, and since then PID parameters is self-adjusted by tracking error. Finally, the results of experiment show that the BP-PID control can improve the unexpected dynamic performance of the MEMS-ESM, with faster response speed and smaller tracking error.
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