Acceleration Function Evaluation and Selection for on-Orbit Moving Mechanism Based on Spectral Analysis

In the large optical remote sensor, moving path planning for moving mechanisms is needed to reduce the vibration and to keep promising imaging. Therefore, a performance evaluation method based on spectral characteristics is proposed. A better basis for subsequent optimization can be distinguished by evaluating acceleration functions of path planning.

Firstly, the concrete situation of the path planning problem is described, and constraints are given. Then, the spectral characteristics of four typical functions are analyzed and summarized, and the main frequency point is defined. Next, the performance evaluation index is proposed, and the four functions are compared. Finally, optimization and simulation based on the state-space model are performed, and responses of four paths are analyzed.

Comparison based on the index indicates that the Hanning function performs best. Parameter optimization improves the path planning’s consequent vibration amplitude and decay rate. Simulation results show that the four paths’ responses consist of the evaluation results based on the proposed method.

The correctness and effectiveness of the proposed evaluation method have been verified. Based on this method, a preliminary selection of the acceleration function can be performed to pick up the one with better performance without needing concrete information about the sensor’s structure. The function with better performance excites less response but calls for greater carrying capacity.