Parameter identification of inherent characteristics of inertial stability platform

Rotary inertia, damping coefficient and stiffness are closely related to the inherent characteristics of rotary inertial stability platform(ISP). The genetic algorithm(GA) is used to identify these three parameters. Based on the theoretical analysis, the model of ISP was established, and the whole process of parameter tuning was designed based on GA. The Matlab/Simulink was used to verify the parameter tuning accuracy of GA. The results show small deviations exist between the parameters of the tuned parameters and the set value, and the accuracy is close to that of the parameter tuning at the stage. A series of experiments were carried out to validate the parameter tuning accuracy of GA. The experimental results show that the method can identify rotary inertia, damping coefficient and stiffness of rotary inertial stable platform with high accuracy and the effectiveness of parameters tuning method presented in this paper are validated.