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机构地区:[1]河北大学电子信息工程学院,河北保定071002
出 处:《传感技术学报》2015年第6期943-946,共4页Chinese Journal of Sensors and Actuators
基 金:国家自然科学基金项目(61074175)
摘 要:目前使用的应变式测力平台,其检测的压力中心都是以力平台初始标定数据作为依据。由于生产测力平台的工艺及技术问题,随着测力平台使用时间增加、工作环境变化,传感器参数随之改变,很大程度影响了测力平台测量精度。针对这种情况,本研究通过对测力平台静态标定,建立了输出特性校正模型,利用最小二乘法求解该模型参数,并应用软件补偿实现对测力平台的校正。基于实验结果,讨论了最优模型结构参数,表明了此方法能够补偿测力平台的非线性,可在一定的温度和压力内实现测量准确度优于1 mm,使测力平台满足人体COP测量评定要求。In order to reduce the center of pressure (COP)errors from force plate, this paper proposes an effective method termed the Least-Squares calibration. In practical measurement, due to the properties of components of the sensor or the ambient environment, errors could occur, which make the force plate inaccuracy. Thus, this paper uses the Least-Squares to calibrate the output characteristics. At first, a self-made pole is needed to measure load locations through marks on the rigid platform of force plate. Of course, by manually applying it to the rigid platform in arbitrary locations, a series of reference locations can be obtained. Based on the reference location data and imperfect force plate signals output data, a nonlinear model to calibrate the output characteristic of the COP is developed. Then, in view of least square error, the optimum solution of the model can be got. At last, the model is applied to the force plate through the software design. The results show that the calibration procedure reduces COP max absolute error and root-mean-square error by more than 90%, and the accuracy of the force plate is better than 1 mm.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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