{"title":"设置PID控制器控制四旋翼飞行:一个梯度方法","authors":"D. Kucherov, A. Kozub, A. Rasstrygin","doi":"10.1109/MSNMC.2018.8576294","DOIUrl":null,"url":null,"abstract":"The paper deals with the design of an autopilot for a quadrotor based on a PID controller. A mathematical description of the control object in form of the system of second-order differential equations is also presented. Setting the parameters of the PID controller is an iterative procedure. The paper investigates three optimal tuning algorithms based on minimizing the quality integral: coordinate descent, gradient descent, and steepest descent. During the research, a number of advantages of the gradient search algorithm are established. Gradient search is used as the main design method; on its basis, the autopilot model is synthesizing. Some simulation results are presented, which are confirmed by the Simulink autopilot model.","PeriodicalId":404334,"journal":{"name":"2018 IEEE 5th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Setting the PID Controller for Controlling Quadrotor Flight: a Gradient Approach\",\"authors\":\"D. Kucherov, A. Kozub, A. Rasstrygin\",\"doi\":\"10.1109/MSNMC.2018.8576294\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper deals with the design of an autopilot for a quadrotor based on a PID controller. A mathematical description of the control object in form of the system of second-order differential equations is also presented. Setting the parameters of the PID controller is an iterative procedure. The paper investigates three optimal tuning algorithms based on minimizing the quality integral: coordinate descent, gradient descent, and steepest descent. During the research, a number of advantages of the gradient search algorithm are established. Gradient search is used as the main design method; on its basis, the autopilot model is synthesizing. Some simulation results are presented, which are confirmed by the Simulink autopilot model.\",\"PeriodicalId\":404334,\"journal\":{\"name\":\"2018 IEEE 5th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 5th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MSNMC.2018.8576294\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 5th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSNMC.2018.8576294","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Setting the PID Controller for Controlling Quadrotor Flight: a Gradient Approach
The paper deals with the design of an autopilot for a quadrotor based on a PID controller. A mathematical description of the control object in form of the system of second-order differential equations is also presented. Setting the parameters of the PID controller is an iterative procedure. The paper investigates three optimal tuning algorithms based on minimizing the quality integral: coordinate descent, gradient descent, and steepest descent. During the research, a number of advantages of the gradient search algorithm are established. Gradient search is used as the main design method; on its basis, the autopilot model is synthesizing. Some simulation results are presented, which are confirmed by the Simulink autopilot model.