针对月球软着陆过程中的控制问题 ,提出了一种将最优理论和非线性神经元控制相结合的控制制导方案。其主要内容是 ,根据终端着陆条件和性能指标 ,以由庞氏极大值原理得出从近月点到月面的最优着陆轨迹为基础 ,给出一种基于人工神经元网络的非线性最优控制策略 ,使被控系统能通过神经网络对非线性的映射能力实现某种最优的非线性控制。最后给出的仿真结果验证了该控制策略的可行性和有效性 Aiming at the control problem of lunar soft landing, a control guidance scheme combining the optimal theory and nonlinear neuron control is proposed. The main content is based on the terminal landing conditions and performance indicators, based on the Ponzi maximum principle derived from the nearest moon point to the lunar surface of the optimal landing trajectory, given a based on the artificial neural network nonlinear The optimal control strategy enables the controlled system to achieve some optimal nonlinear control of nonlinear mapping capabilities via neural networks. Finally, the simulation results verify the feasibility and effectiveness of the control strategy