应用在线整定广义最小方差多项式权值的测头控制方法

Control Strategy Based on Online Setting Polynomial Weights of Generalized Minimum Variance for Measuring Probe

在曲面工件的高精度、高效率自动扫描测量过程中,为了提高测头自动跟踪扫瞄控制的精度和平稳性,提出了基于在线整定多项式权值的广义最小方差(OSPW_GMV)控制方法.该方法的主要思想是根据在线估计的被控对象参数及OSPW_GMV的输出,在线调整多项式的权值,实现测头自动跟踪扫瞄的控制.实验结果证明,使用具有高跟踪精度和强鲁棒性的OSPW_GMV控制器,可使测头跟踪过程的误差小于0.1mm的跟踪要求,且每次运算时间与广义最小方差控制器相差不大,因此该控制方法在一些实时性及控制精度要求较高的精密检测场合,有较好的应用价值.

In the process of rapid, precise scanning measurement of curved surface parts, for improving accuracy and stability in the automatic tracking controlling of probe, a generalized minimum variance strategy with online setting polynomial weights （OSPW_GMV） is introduced, where the polynomial weights can be obtained to fulfill the automatic tracking controlling of probe according to the real-time identification of plant parameters with the output of OSPW_GMV controller. The experimental results confirm the high tracking accuracy and robustness of OSPW_ GMV controller, the tracking accuracy gets up to 0. 1 mm during the automatic tracking process of probe, and the consuming time of each execution step approaches to that of the GMV controller.