Dynamic modeling and parameters optimization of parallel – suspension type inertially stabilized platform

Abstract

The development of a new generation platform stability system has broken through limitations in its core architecture. The system has both rapid response performance while retaining vibration isolation capability. However, there is an imperative requirement for model mechanism analysis and properties research on new systems. Accordingly, this research proposes a novel parallel – suspension type dynamics model of stabilized platform, and optimizes the key parameters. Concretely, spring elements considering columnar instability phenomenon are applied to isolators to create a parallel – suspension, which replaces the traditional series – gimbals configuration. Furthermore, a 3-DOF dynamic model of the inner frame of the stabilized platform is established, and the optimal parameters are obtained from a constraint index function presented by genetic algorithm. The numerical results show that the vibration isolation effect of the system attenuates the excitation signal energy by more than 70%, and still maintains the steering performance and stability simultaneously. The feasibility and superiority of the model and the parameter optimization method are tested by dynamics software, simulation signal and flight data respectively.