{"title":"基于分块矩阵的无人水面车辆轨迹跟踪模型预测控制","authors":"Huixuan Fu, Wenjing Yao, Chao Peng, Yuchao Wang","doi":"10.1109/ICMA57826.2023.10215974","DOIUrl":null,"url":null,"abstract":"In order to work out the matter of long calculation time and poor real-time performance of trajectory tracking controller designed by Model Predictive Control (MPC), a model predictive control trajectory tracking based on variable step size in control horizon is proposed by means of move blocking. Firstly, changing of control horizon step size through move blocking. Then, integrating it into the solution process of quadratic programming and reconstructing objective function form. So as to cut the amount of variables to be solved in the solution process and reduce the solution calculation time. Finally, the comparison experiments of MPC with move blocking for trajectory tracking control of Unmanned Surface Vehicle (USV) and MPC without move blocking for trajectory tracking control of USV are designed. The results show that compared with MPC without move blocking, the average calculation time is reduced by 15.79%.","PeriodicalId":151364,"journal":{"name":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"47 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Model Predictive Control with Block Matrix for Unmanned Surface Vehicles Trajectory Tracking\",\"authors\":\"Huixuan Fu, Wenjing Yao, Chao Peng, Yuchao Wang\",\"doi\":\"10.1109/ICMA57826.2023.10215974\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to work out the matter of long calculation time and poor real-time performance of trajectory tracking controller designed by Model Predictive Control (MPC), a model predictive control trajectory tracking based on variable step size in control horizon is proposed by means of move blocking. Firstly, changing of control horizon step size through move blocking. Then, integrating it into the solution process of quadratic programming and reconstructing objective function form. So as to cut the amount of variables to be solved in the solution process and reduce the solution calculation time. Finally, the comparison experiments of MPC with move blocking for trajectory tracking control of Unmanned Surface Vehicle (USV) and MPC without move blocking for trajectory tracking control of USV are designed. The results show that compared with MPC without move blocking, the average calculation time is reduced by 15.79%.\",\"PeriodicalId\":151364,\"journal\":{\"name\":\"2023 IEEE International Conference on Mechatronics and Automation (ICMA)\",\"volume\":\"47 6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE International Conference on Mechatronics and Automation (ICMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMA57826.2023.10215974\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMA57826.2023.10215974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Model Predictive Control with Block Matrix for Unmanned Surface Vehicles Trajectory Tracking
In order to work out the matter of long calculation time and poor real-time performance of trajectory tracking controller designed by Model Predictive Control (MPC), a model predictive control trajectory tracking based on variable step size in control horizon is proposed by means of move blocking. Firstly, changing of control horizon step size through move blocking. Then, integrating it into the solution process of quadratic programming and reconstructing objective function form. So as to cut the amount of variables to be solved in the solution process and reduce the solution calculation time. Finally, the comparison experiments of MPC with move blocking for trajectory tracking control of Unmanned Surface Vehicle (USV) and MPC without move blocking for trajectory tracking control of USV are designed. The results show that compared with MPC without move blocking, the average calculation time is reduced by 15.79%.