月球探测机器人运动控制算法研究

Study on the Locomotion Control Algorithm of a Lunar Roving Robot

针对常规模糊控制的不足 ,本文提出一种模糊神经网络自适应控制 ,它综合模糊控制与神经网络控制各自的优点 ,实现模糊控制的智能化 ,并将其应用于月球探测机器人的运动控制中。仿真结果证明该控制方案的优越性。

For the disadvantage of fuzzy control, an adaptive control method using fuzzy neural network is put forward in this paper, which combines the advantages of the both and achieves the intelligentization of fuzzy control. In our research, we apply this scheme to the locomotion control of a lunar roving robot. Simulation results confirm the superiority, effectiveness and feasibility of this scheme.