机器人在对于一些气味源、声源、平衡位置等目标搜索时,为了精确定位,一般采用变步长的算法。根据S函数,设计出了一种新型步长调整算法。与传统的最陡下降法相比,其步长调整速度快,适应外部环境能力强,并且包含了方向信息。实验证明该方法是一种有效的移动机器人步长调整算法。
Variable step-size algorithm is used when the mobile robots work at precise odor or sound source localization tasks.A novel variable step-size algorithm based on the Sigmoid function is proposed.Compared with the traditional steepest descent algo- rithm,the new algorithm not only modifies the step-size much faster,but also includes the direction information.The result of the experiments shows the efficiency of the new algorithm.