Transactions of Nanjing University of Aeronautics & Astronautics
结合遗传算法和优化Q-Law算法的小推力轨道转移
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Abstract:
A new orbit transfer method is presented by combining the genetic algorit h m (GA) with the refined Qlaw method. Considering the energy consumptio n , the relative thrust efficiency is introduced as a threshold deciding whether t o thrust or coast. GA is used to achieve the global timeoptimal orbit trans f er. The trajectory optimization problem is transformed into the constraint para met er optimization problem, thus the nonlinear twopoint boundary value problem is avoided. The refined Qlaw method integrated with the fuzzy logic control is adopte d for t he end course, the vibration is avoided and the high precision is achieved. The numerical simulation of satellite orbit transfer is implemented. Result s show that the new method can achieve the timeoptimal orbit transfer and t he low energy consumption, thus improving the transfer precision.
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Project Supported:
Supported by the Key Project of Natural Scienc e Foundation of Jiangsu Province(BK2010072).
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