工业测量装置标定问题的建模与仿真分析-戴天杰-课程设计报告

ABSTRACT: This paper discusses the calibration problem of industrial measuring devices in large scale manufacturing, which is abstracted as a combinatorial optimization problem. In the initial stage of the problem-solving process, the author utilizes the MATLAB modeling software to iteratively derive a calibration solution that fits the actual situation using the third-order spline interpolation method and genetic algorithm. Subsequently, the paper further explores the impact of the interpolation method on the results and deepens the understanding of the problem by employing taboo search algorithm. Keywords: Calibration, interpolation, fitting, genetic algorithm, taboo search algorithm This report delves into the engineering problem of calibrating measuring devices in the context of large scale manufacturing. The process begins by abstracting the real-world problem as a combinatorial optimization issue. Leveraging the modeling software MATLAB, the author employs the third-order spline interpolation method and genetic algorithm to iteratively derive a calibration solution that fits the actual situation. The paper subsequently explores the influence of the interpolation method on the results and expands the understanding of the problem by utilizing the taboo search algorithm. Through this research, the author aims to provide a comprehensive framework for tackling the calibration challenges faced in industrial measurement devices, with the goal of improving precision and accuracy in large scale manufacturing processes.