Machine tool working step energy consumption monitoring method based on least square iterative algorithm

Abstract

The invention discloses a machine tool working step energy consumption monitoring method based on a least square iterative algorithm, and the method comprises the following steps: step1, main driving system input power is collected, and filtering processing is performed on a input power signal; step2, a machine tool on-line running state is judged through an analysis of machine tool main driving system input power data; step3, according to the measurement of machine tool spindle real-time power, a power balance equation and additional load loss characteristics of the machine tool main driving system are combined to estimate cutting power, a reasonable cutting energy consumption model is established, and on-line estimation of the machine tool cutting power is reached; and step4, an off-line identification algorithm based on machine tool additional loss function coefficients of the least square iterative algorithm is adopted to calculate machine tool cutting power parameters. According to the invention, high cost and low efficiency in cutting energy consumption measurement in a direct measuring method can be avoided, a problem of high error rate in a indirect measuring method can be processed, and the method can provide relatively precise energy consumption data for machine tool working process energy consumption monitoring.

Description

technical field [0001] The invention relates to the field of energy consumption monitoring of industrial machine tool manufacturing systems, in particular to a method for monitoring energy consumption of machine tool steps based on a least squares iterative algorithm. Background technique [0002] With the current energy crisis and environmental problems becoming more and more serious, many countries have taken energy conservation and emission reduction as a national strategy. As the pillar industry of the national economy, the manufacturing industry not only creates huge economic wealth, but also consumes a lot of manufacturing resources, especially energy, and has a serious impact on the environment. The energy consumption of the manufacturing industry is as high as 30%-50% of the total global energy consumption, especially the proportion of machine tools as the main energy consumption reaches 17%-20% of the global energy consumption. By 2030, manufacturing will reach 100...

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Problems solved by technology

[0004] (1) Direct measurement method: directly measure the cutting torque and rotational speed during processing. This method requires the installation of a torque sensor on the machine tool. Not only is the price high, it is easily affected by the environment and affects the rigidity of the machine tool. It is difficult for enterprises to accept both in terms of performance and cost.

[0005] (2) Indirect measurement method: the machining power is obtained indirectly by measuring the input power of the machine tool. This method requires the installation of a power sensor. Although it will not affect the rigidity of the machine tool, the cutting power can be estimated by using the spindle power of the main drive system (input power - no-load power = Cutting power) method, ignoring the additional loss of the machine tool leads to inaccurate results, and the error is as high as 30%

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