基于二型模糊大脑情感学习控制器的双足机器人容错控制研究

为提高双足机器人行走的控制精度,提出利用二型模糊大脑情感学习控制器对双足机器人进行容错控制.该方法利用控制器的非线性估计模块估计双足机器人的系统故障和建模误差信息,并由计算转矩控制器和鲁棒控制器实现容错控制以解决外部扰动引起的系统不稳定问题.利用Matlab对两个案例进行仿真结果表明,该方法在双足机器人出现系统故障和外部出现扰动的情况下,仍能良好地估计出控制器的输入值,使双足机器人正常运行.因此,该方法对提高双足机器人的容错控制精度及轨迹跟踪的可靠性具有很好的参考价值.

A study of fault -tolerant control for a biped robot by using a type-2 fuzzy brain emotional learning controller

In order to improve the control accuracy of biped robot walking, a fault -tolerant control method based on type -2 fuzzy brain emotional learning controller is proposed. The controller is used nonlinear estimation module of the controller to estimate the system fault and modeling error information of the biped robot, and implements fault -tolerant control by the computational torque controller and the robust controller to solve the problem of system instability caused by external disturbances. The simulation results of two cases using Matlab show that this method can still estimate the input value of the controller well and make the biped robot operate normally even when the biped robot has system fault and external disturbance. Therefore, this method has a good reference value for biped robots in terms of fault -tolerant control accuracy and trajectory tracking reliability.