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Study on Roundness Error Evaluation with Least-Squares Method Based on Nonlinear Optimization

机译:基于非线性优化的最小二乘法对圆度误差评估研究

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Roundness error evaluation software is developed based on two-dimensional circle fitting with least-squares method based on nonlinear optimization with constraints. The local derivative-free optimization algorithms of NLopt can solve nonlinear constraint problems by combining with augmented Lagrangian algorithm. The fitting precision and convergence time of each algorithm are analyzed by calculating the fitting results with same test data to find its advantages and disadvantages. It is shown that each algorithm has different behaviors from others on performance and stability. This work provides a good basis for choosing the appropriate algorithm for roundness error evaluation.
机译:基于基于与约束的非线性优化的最小二乘法,基于二维圆拟合开发了圆度误差评估软件。 NLOPT的本地衍生无源优化算法可以通过与增强拉格朗日算法组合来解决非线性约束问题。通过计算具有相同测试数据的拟合结果来分析每种算法的拟合精度和收敛时间,以找到其优缺点。结果表明,每个算法具有不同的性能和稳定性的不同行为。这项工作为选择适当的往复误差评估算法提供了良好的基础。

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