仿生机器人模糊自适应控制系统设计研究

Design and Research on Fuzzy Adaptive Control System for Bionic Robot

以智能模糊神经网络方法为例,主要针对仿生机器人运动控制进行研究,从仿生学进行分析,按照控制系统理论研究了"单腿单步"模式生成与四足仿生机器人运动的控制。研究的目的是通过建立一个触发器机械配置,允许机器人能够向前移动一步,采用集成相关算法进行机器人运动轨迹模式进行模拟,实现全局路径规划的互联,证明模糊逻辑模式发生器分析姿势和姿态控制反馈所需的时间。

The intelligent fuzzy neural network method is taken as an example. It mainly studies the motion control of bionic robots. From the bionics analysis,the control of the"single leg single step"mode and the motion of the quadruped bionic robot are studied according to the control system theory. The purpose of the research is to establish a trigger mechanical configuration,allowing the robot to move forward one step. This paper uses the integrated correlation algorithm to simulate the robot motion trajectory mode,realizes the interconnection of global path planning,and proves that the fuzzy logic pattern generator analyzes the posture and posture. The time required to control the feedback.