Abstract
摘要: 为了利用气浮台在地面精准演示分布式多星组网技术及验证多模式高分成像过程，提出一种基于改进型BP神经网络PID控制的气浮台快速自动调平衡算法.针对以往算法调平时间较长、容易得到非最优解的问题，引入仿生萤火虫算法对神经网络初始权值进行优化，提高了算法的收敛速度和稳定性.基于构建的三轴气浮台运动学和动力学模型，通过仿真实验验证了优化算法对自动调平衡具有良好的控制效果，满足多星地面仿真的调平衡要求. 关键词: 气浮台 / 自动调平衡 / BP神经网络 / PID控制 / 萤火虫算法 / 多星地面仿真
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