Abstract

For an aerospace vehicle (AV), its high-order dynamics increases the pole placement complexity and makes the classic short-period and phugoid-period modes are difficult to distinguish from one another. To solve these two problems, an improved identification algorithm is proposed to obtain a low-order equivalent system (LOES) of AV, which effectively reflects the modal coupling characteristics. In the improved identification algorithm, a pigeon-estimation algorithm based on simulated anneal (SA) is proposed to optimize the LOES parameters. Then, a robust controller is designed based on the obtained LOES, with all the regional stability and robust performance requirements satisfied. Simulation results verify the effectiveness of the proposed method and show that the obtained LOES model can capture the motion characteristics of AV and is suitable for the control system design.

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