基于HSA-SVR的压电式车削测力仪多维力解耦  

Decoupling for Multidimensional Force of Piezoelectric Turning Dynamometer Based on HSA-SVR

作　　者：张军[1] 蔡佳乐 王郁赫 滕玄德 张鹏[1] 王尊豪 ZHANG Jun;CAI Jiale;WANG Yuhe;TENG Xuande;ZHANG Peng;WANG Zunhao(Dalian University of Technology,State Key Laboratory of High-Performance Precision Manufacturing)

机构地区：[1]大连理工大学,高性能精密制造全国重点实验室

出　　处：《仪表技术与传感器》2024年第6期26-29,36,共5页Instrument Technique and Sensor

基　　金：国家自然科学基金(52075079);国家科技重大专项(J2019-V-0011-0106)。

摘　　要：文中针对压电式多维力测力仪向间干扰大,制约测量精度的问题,分析了向间干扰对测力仪测量精度的影响,提出了一种基于支持向量回归机(SVR)的非线性解耦算法。利用混合模拟退火算法(HSA)对SVR进行参数寻优,对比并分析了HSA-SVR和线性最小二乘解耦法(LS)的解耦性能,证明经该方法解耦后向间干扰最大为0.526%,非线性误差最大为0.214%,HSA-SVR具有更好的非线性解耦效果。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 0decouplingperformance 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.

关 键 词：压电测力仪 多维力测量 支持向量回归机 非线性解耦方法 融合算法 

分 类 号：TH823[机械工程—仪器科学与技术]