Implementation of the Genetic Algorithmfor Correcting the Dynamic Error of the Measuring Systems

摘要

The analysis of dynamic measurements provides numerous challenges that significantly limit the use of existing calibration facilities and mathematical methodologies. The article deals with the structure of the measuring system containing the model of a primary measuring transducer and realizing the modal control of its dynamic characteristics. On this basis the approach to optimal adjustment of dynamical parameters adaptive to the measuring transducer output noises is developed. The result of digital experiment confirms the efficiency of the developed genetic algorithm of the dynamic measurement error correction. It is concluded, that deep mathematical processing of measurement results, performed after the completion of the experiment, reduces the estimate of the dynamic measurement error 37.8%.