Exploring Constant Torque of Electric Impact Wrench Controlled by Motor Current
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摘要: 针对电动冲击扳手在紧固螺栓时存在输出转矩波动较大的问题,提出了基于电流参数的电动冲击扳手定扭矩控制策略。首先,通过信号采集系统同步采集扳手在紧固螺栓过程中的输出扭矩信号和电机电流信号,并利用SG(Savitzky-Golay)滤波器对信号中的噪声进行降噪处理。然后结合多项式曲线拟合建立了扳手输出扭矩与电机电流的多项式模型关系,结果表明扳手输出扭矩与电机电流之间为3阶多项式关系。最后通过实验平台进行验证分析。实验结果表明,在该控制策略下,可实现通过控制电机电流来对扳手进行定扭矩控制,并且控制误差小于4%,提高了电动冲击扳手定扭矩控制系统的控制精度和鲁棒性。
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关键词:
- 电动冲击扳手 /
- 定扭矩控制 /
- 电流 /
- Savitzky-Golay滤波 /
- 多项式拟合
Abstract: The large output torque fluctuation during the electric impact wrench fastens bolts. Therefore, the paper proposes a torque control strategy of the electric impact wrench based on current parameters. Firstly, the experiment uses the signal acquisition system to synchronously collect the output torque signal and motor current signal of the wrench in the process of fastening bolts. The SG(Savitzky-Golay) filter was used to reduce the noise in the signal. Then, the paper uses the polynomial curve fitting to establish the polynomial relation between wrench output torque and motor current. The results show that the relation between the output torque of the electric impact wrench and the motor current is a third-order polynomial relation. Finally, experiments are carried out to verify the results. The experimental results show that the torque control of the electric impact wrench is achieved by controlling the motor current and that the control error is less than 4%, thus improving the control accuracy and robustness of the electric impact wrench torque control system. -
表 1 电动冲击扳手控制系统的参数
参数名称 数值 额定转速n 3 000 r/min 极对数p 3 pairs 转动惯量J 0.357×10-3 kg·m2 绕组电感L 1.009 mH 绕组电阻R 0.128 Ω 表 2 扭矩设定值与实测值对应的部分实验数据
扭矩设定值/Nm 电机电流计算值/A 实测值 误差/% 扭矩T/Nm 电机电流I/A 80 1.426 83 1.449 3.75 100 1.501 96 1.482 4.00 120 1.574 122 1.586 1.67 140 1.635 136 1.617 2.86 160 1.686 166 1.746 3.57 -
[1] 杨闯, 王典, 沈治国, 等. 电动冲击扳手扭矩仿真分析研究[J]. 电动工具, 2016, 4(2): 1-5YANG C, WANG D, SHEN Z G, et al. Analysis and research on torgue simulation of electric impact wrench[J]. Electric Tool, 2016, 4(2): 1-5 (in Chinese) [2] HE C Y, WU T. Permanent magnet brushless DC motor and mechanical structure design for the electric impact wrench system[J]. Energies, 2018, 11(6): 1360 doi: 10.3390/en11061360 [3] ZHANG S L, TANG J. System-level modeling and parametric identification of electric impact wrench[J]. Journal of Manufacturing Science and Engineering, 2016, 138(11): 111010 doi: 10.1115/1.4033044 [4] 厉杰. 一种冲击型电动扳手驱动器技术的研究与实现[D]. 济南: 山东大学, 2014LI J. Research and implementation of the driver technology for an impacted electric wrench[D]. Ji'nan: Shandong University, 2014 (in Chinese) [5] 杨艳. 电动冲击扳手行星齿轮机构动力学分析[J]. 煤矿机械, 2014, 35(12): 135-136YANG Y. Simulation on dynamics of planet gear mechanism for electric wrench[J]. Coal Mine Machinery, 2014, 35(12): 135-136 (in Chinese) [6] 谭建成. 永磁无刷直流刷电机技术[M]. 北京: 机械工业出版社, 2011TAN J C. Permanent magnet brushless dc motor technology[M]. Beijing: China Machine Press, 2011 (in Chinese) [7] 胡伟, 耿亚珂. 改进滑模观测器的BLDCM无模型自适应控制[J]. 电子测量与仪器学报, 2016, 30(3): 456-464HU W, GENG Y K. Model-free adaptive control of BLDCM based on improved sliding mode observer[J]. Journal of Electronic Measurement and Instrumentation, 2016, 30(3): 456-464 (in Chinese) [8] 涂震, 赵阳, 余佳佳, 等. 基于双矢量的永磁同步电机模型预测电流控制[J]. 武汉大学学报(工学版), 2020, 53(8): 721-727TU Z, ZHAO Y, YU J J, et al. Two-vector-based model predictive current control of permanent magnet synchronous motor[J]. Engineering Journal of Wuhan University, 2020, 53(8): 721-727 (in Chinese) [9] 高雪飞. 基于相反电势定向的无刷直流电机转矩脉动最小化研究[D]. 秦皇岛: 燕山大学, 2016GAO X F. Phase back EMF oriented control of brushless dc motor for torque ripple minimization[D]. Qinhuangdao: Yanshan University, 2016 (in Chinese) [10] LEE D M. Position estimator employing Kalman filter for PM motors driven with binary-type hall sensors[J]. Journal of Electrical Engineering & Technology, 2016, 11(4): 931-938 [11] BENAGGOUNE S, BELKACEM S, ABDESSEMED R. Sensorless direct torque control of PMSM drive with EKF estimation of speed, rotor position and load torque observer[J]. Asian Journal of Information Technology, 2007, 6(2): 236-242 [12] 吴迪, 陈健, 石满, 等. 基于Savitzky-Golay滤波算法的FY-2F地表温度产品时间序列重建[J]. 国土资源遥感, 2019, 31(2): 59-65WU D, CHEN J, SHI M, et al. Reconstruction of land surface temperature time-series datasets of FY-2F based on Savitzky-Golay filter[J]. Remote Sensing for Land & Resources, 2019, 31(2): 59-65 (in Chinese) [13] QUAN Q, CAI K Y. Time-domain analysis of the Savitzky-Golay filters[J]. Digital Signal Processing, 2012, 22(2): 238-245 [14] 陈岚峰, 杨静瑜, 崔崧, 等. 基于MATLAB的最小二乘曲线拟合仿真研究[J]. 沈阳师范大学学报(自然科学版), 2014, 32(1): 75-79CHEN L F, YANG J Y, CUI S, et al. MATLAB simulation of curve fitting based onleast-squares[J]. Journal of Shenyang Normal University (Natural Science Edition), 2014, 32(1): 75-79 (in Chinese) [15] 马烨璇, 徐万海, 徐增伟. 基于多项式拟合的细长梁结构振动位移重构方法[J]. 振动与冲击, 2020, 39(11): 152-157+183MA Y X, XU W H, XU Z W. Displacement reconstruction of slender beam based on polynomial fitting method[J]. Journal of Vibration and Shock, 2020, 39(11): 152-157+183 (in Chinese)