Decoupling for Multidimensional Force of Piezoelectric Turning Dynamometer Based on HSA-SVR
Addressing the issue of significant inter-directional interference in piezoelectric multidimensional force measuring instruments,which constrains measurement accuracy,this paper analyzed the impact of inter-directional interference on the preci-sion of force measuring instruments and proposed a nonlinear decoupling algorithm based on support vector regression(SVR)ma-chine learning.The optimization of SVR parameters was achieved using a hybrid simulated annealing algorithm(HSA).The 0decoupling performance of HSA-SVR was compared and analyzed with linear least squares decoupling(LS).The results demonstratethat after decoupling,the maximum inter-directional interference is only 0.526%,and the maximum nonlinear error is 0.214%.HSA-SVR exhibits superior performance in decouplingnonlinearities.
piezoelectric dynamometersmultidimensional force measurementsupport vector regression machinenonlinear decoupling methodfusion algorithm
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