{"title":"基于FPGA硬件加速器的并联机器人逆运动学计算","authors":"K. Gac, G. Karpiel, M. Petko","doi":"10.1109/ETFA.2012.6489717","DOIUrl":null,"url":null,"abstract":"The paper presents an application of field programmable gate arrays (FPGA) to support the calculation of the inverse kinematics problem of a parallel robot. The presented robot is designed for milling by moving the spindle along a desired trajectory generated in the Cartesian space. This means that for each point of the trajectory a solution of the inverse kinematics problem is needed. The resulting sequence of data creates the joint space trajectory that must be calculated on-line at high frequency. The paper shows how to decrease the calculation time preserving required accuracy, by augmenting the arithmetic-logic unit (ALU) of a microprocessor with custom instructions. The hardware implementation of the accelerator is described and results of calculations performed in an Altera FPGA chip are analyzed.","PeriodicalId":222799,"journal":{"name":"Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"FPGA based hardware accelerator for calculations of the parallel robot inverse kinematics\",\"authors\":\"K. Gac, G. Karpiel, M. Petko\",\"doi\":\"10.1109/ETFA.2012.6489717\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents an application of field programmable gate arrays (FPGA) to support the calculation of the inverse kinematics problem of a parallel robot. The presented robot is designed for milling by moving the spindle along a desired trajectory generated in the Cartesian space. This means that for each point of the trajectory a solution of the inverse kinematics problem is needed. The resulting sequence of data creates the joint space trajectory that must be calculated on-line at high frequency. The paper shows how to decrease the calculation time preserving required accuracy, by augmenting the arithmetic-logic unit (ALU) of a microprocessor with custom instructions. The hardware implementation of the accelerator is described and results of calculations performed in an Altera FPGA chip are analyzed.\",\"PeriodicalId\":222799,\"journal\":{\"name\":\"Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETFA.2012.6489717\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2012.6489717","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FPGA based hardware accelerator for calculations of the parallel robot inverse kinematics
The paper presents an application of field programmable gate arrays (FPGA) to support the calculation of the inverse kinematics problem of a parallel robot. The presented robot is designed for milling by moving the spindle along a desired trajectory generated in the Cartesian space. This means that for each point of the trajectory a solution of the inverse kinematics problem is needed. The resulting sequence of data creates the joint space trajectory that must be calculated on-line at high frequency. The paper shows how to decrease the calculation time preserving required accuracy, by augmenting the arithmetic-logic unit (ALU) of a microprocessor with custom instructions. The hardware implementation of the accelerator is described and results of calculations performed in an Altera FPGA chip are analyzed.