基于自适应模糊控制的类人机器人稳定动态行走模式的应用

Mao-Lin Chen, Kai-Jung Chen
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引用次数: 4

摘要

本文以仿人机器人为研究对象,利用控制方法实现机器人在行走过程中的稳定移动。为了能够在各种环境中稳定行走,该系统采用意法半导体(STMicroelectronics, STM32)的32位单片机集成电路和伺服控制器来控制足部的移动,并在足下安装用于步态分析的压力传感器来跟踪行走过程中的实际动态重心(COM)。为了保持机器人的行走稳定性,需要考虑地面条件,并且需要躯干运动和关节执行器的速度。通过改变足部运动参数,机器人可以产生不同的足部运动来适应环境条件,但期望输出与实际输出之间存在误差。本文提出了一种利用自适应模糊控制器对执行器规格误差进行修正的方法,以保持机器人在地面条件和足部运动参数要求较小的情况下躯干运动和关节执行器速度下的行走稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applying a Stable Dynamic walking mode of Humanoid Robot Based on Adaptive Fuzzy Control
This paper focused on the humanoid robot walking using the control method for the stable mobility during walking process. To be able to walk stably in various environments, the system constructed with a 32-bit microcontroller integrated circuits by STMicroelectronics (STM32) and servo controllers to control the mobility of foot, and the pressure senor under the foot for the gait analysis to track the actual dynamic center of gravity (COM) during walking process. To maintain the robot's walking stability, it is necessary to consider the ground conditions, and the requires torso motion and velocity of the joint actuators. By varying the foot motion parameters, the robot can produce different foot motion to adapt the environment conditions, but there is an error between expected and actual output. This paper proposes a method to correct errors on the actuator specifications using the adaptive fuzzy controller to maintain the robot's walking stability with the ground conditions and the foot motion parameters under the small requires torso motion and velocity of the joint actuators.
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