机器人减速器负载的CORDIC计算算法与FPGA实现
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华南理工大学 机械与汽车工程学院 广东 广州 510640

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TP391.4

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广东省科技计划项目(2017B090914003)


CORDIC calculation algorithm and FPGA realization of robot reducer load
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School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China

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    摘要:

    减速器是工业机器人的运动核心部件之一,在其实时负载计算中存在大量三角函数计算,计算量较大,使用传统方法计算复杂且延迟较高。本文提出一种机器人减速器负载的CORDIC计算算法,能有效降低负载计算延迟,重点研究该算法在FPGA中实现方法及结构改进等,最后在Quartus Ⅱ及ModelSim软件中进行联合仿真,结果表明:基于CORDIC算法的机器人减速器负载计算绝对误差小于,计算延迟15ns,与传统负载计算方法相比,具有准确性高、实时性好、占用FPGA内部资源少的特点。

    Abstract:

    The reducer is one of the core components of the motion of industrial robots. There are a large number of trigonometric function calculations in its real-time load calculation, which requires a large amount of calculation, and the calculation using traditional methods is complex and has a high delay. This paper proposes a CORDIC calculation algorithm for robot reducer load, which can effectively reduce the load calculation delay. The focus is on the implementation of the algorithm in FPGA and structural improvements. Finally, a joint simulation is carried out in Quartus Ⅱ and ModelSim software. The results show: The absolute error of the load calculation of the robot reducer based on the CORDIC algorithm is less than , and the calculation delay is 15ns. Compared with the traditional load calculation method, it has the characteristics of high accuracy, good real-time performance, and less internal resources of the FPGA.

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邓 威,刘桂雄,汤少敏.机器人减速器负载的CORDIC计算算法与FPGA实现[J].电子测量技术,2021,44(16):74-78

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  • 在线发布日期: 2024-08-22
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