中文摘要：

为分析月球与地球重力差异对驾驶员所带来的操纵影响,推导了载人月球车操纵动力学方程.基于径向基神经网络和间接逆模型的训练方法,建立以行驶轨迹为输入、驾驶员操纵转角为输出的载人月球车操纵动力学逆系统.采用两种不同类型的间接对比形式,包括地球重力条件下重复月面行驶的轨迹路线和月球重力条件下重复地面行驶的轨迹路线.将正弦函数和斜坡阶越函数作为驾驶员操纵输入,获得月球或地球重力条件下的行驶轨迹,并利用逆系统求解得到不同重力条件下行驶相同轨迹时驾驶员的操纵转角.结果表明,驾驶员在月球重力条件下需要做出更大的操纵转向角度、更快的操纵转向速度、更高的操纵转向变换频率,并且在月球重力条件下更不容易重复地球重力条件下的相同行驶轨迹.这说明载人月球车在月球重力条件下的操纵性能较差.

英文摘要：

For analyzing the influences of different gravities of the Earth and the Moon on driver of lunar roving vehicle（ LRV）,the handling dynamic functions were deduced. Based on RBF neutral networks and indirect inverse model training methods,the inverse handling system of LRV,whose inputs were the moving traces and outputs were the handling angles of the driver,was obtained. Two types of indirect comparisons were used for the inverse system,including repeating the moving traces on the Moon under the earth＇s gravity and repeating the moving traces on the Earth under the lunar gravity. The sine and ramp-pulse were used as the handling functions,and the moving traces on the Moon or the Earth could be solved by the handling dynamic system. Then,the handling angles could be obtained by the inverse system when repeating same traces under different gravities. The results show that the driver needs bigger steering angle,more rapid steering speed,and more frequent steering shift under the lunar gravity.Morever,it is much more difficult to repeat the same trace under the lunar gravity than under the earth＇s gravity. It illustrats that the LRV has the worse handling performances on the Moon.