基于自适应遗传算法的隔振系统参数优化计算

为优化航天器中隔振系统的隔振参数，提出了一种基于自适应遗传算法的优化方法。在只考虑单条支腿的前提下，建立了主动隔振系统的动力学模型，通过拉普拉斯变换得到了上平台输出的力对下平台控制力的传递函数，并获得待优化的参数。将参数优化问题转化成数值优化问题，利用最大熵法生成算法的目标函数；采用新的选择算子来避免算法早熟；提出自适应交叉算子和自适应高斯变异算子来保证种群多样性；通过优胜劣汰和种群迁移法则来提高算法的全局收敛性。最后，通过仿真实例对算法的有效性进行验证，结果表明：和传统的遗传算法相比，本算法的收敛速度快、优化效果好。

Analysis on parameters calculation and optimiaztion of vibration isolation system based on adaptive genetic algorithm

For the optimization of vibration isolation parameters of the device on the spacecraft , it proposes an op-timization method based on adaptive genetic algorithm .Considering single leg , it derives the dynamic model as well as the transfer function via newton method and Laplace transformation , and determines the optimal parame-ters.It uses maximum entropy approach to obtain the objective function for converting the optimization problem into the numerical problem , and utilizes new selection operator to avoid algorithm premature , develops adaptive crossover operator and Gaussian mutation operator to ensure the population diversity .According to the law of sur-vival of the fittest and population migration , it enhances global convergence .Finally, simulation of the vibration isolation system validates the effectiveness of the algorithm .The results show that the algorithm convergence speed and optimization effect are better than the traditional genetic algorithm .