In this paper, a system identification method based on the combination of GNA and ARMA is proposed to model the transfer function of the pendulum tilt instrument system. The GNA algorithm dynamically adjusts the step size to optimize the estimation of system parameters and the ARMA model models the noise characteristics to suppress random fluctuations. The system identification results are comprehensively analyzed. Compared with the standalone GNA algorithm, the integration of the ARMA model improves the fitting accuracy of the system transfer function from 92.96% to 95.53%, and reduces FPE from 115.9 to 47.28. This enhancement significantly strengthens the system's ability to suppress external noise. Moreover, the zero-pole distribution and residual analysis further validate the improved stability and reliability of the identified transfer function. This method enhances the accuracy and robustness of transfer function identification for the pendulum tilt instrument system, providing a solid foundation for its calibration and performance optimization.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |