YE Rongguan,ZHENG Feijie*.A study of fault -tolerant control for a biped robot by using a type -2 fuzzy brain emotional learning controller[J].Journal of Yanbian University,2021,47(01):56-63.
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
- Title:
- A study of fault -tolerant control for a biped robot by using a type -2 fuzzy brain emotional learning controller
- 文章编号:
- 1004-4353(2021)01-0056-08
- Keywords:
- type -2 fuzzy; brain emotional learning controller; biped robot; fault -tolerant control; external disturbance
- 分类号:
- TG385.2
- 文献标志码:
- A
- 摘要:
- 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.
- Abstract:
- 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.
参考文献/References:
[1] 雷荣华,陈力.空间机器人执行器部分失效故障的终端滑模容错控制[J].中国机械工程,2019,30(8):947-953.
[2] LI Z J, GE S Z S. Adaptive robust controls of biped robots[J]. IET Control Theory and Applications, 2013,7(2):161-175.
[3] SONG Q, HU W J, YIN L, et al. Robust adaptive dead zone technology for fault -tolerant control of robot manipulators using neural networks[J]. Journal of Intelligent Robotic System, 2002,33(2):113-137.
[4] 杨金宝,张昌宏,陈平.基于改进BP神经网络的网络故障诊断研究[J].计算机与数字工程,2012,40(2):65-67.
[5] 肖晶,吴学智.一种基于神经网络的故障诊断新方法研究[J].舰船电子工程,2010,30(1):160 -163.
[6] LIN C M, CHEN C H. Robust fault -tolerant control for a biped robot using a recurrent cerebellar model articulation controller[J]. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics, 2007,37(1):110-123.
[7] ZADEH L A. The concept of a linguistic variable and its application to approximate reasoning -I[J]. Information Sciences, 1975,8(3):199-249.
[8] 陈瑶,毛雅洁,赵涛,等.两轮移动巡检机器人的区间二型模糊滑模控制[J].计算机应用与软件,2020,37(10):27-33.
[9] 马飞越,韩吉霞,牛勃,等.基于区间二型模糊终端滑模控制的飞行器姿态控制[J].空间控制技术与应用,2019,45(5):22-28.
[10] 张双,赵涛,佃松宜,等.机械臂的区间二型模糊超螺旋滑模控制[J].空间控制技术与应用,2019,45(3):44-52.
[11] ARAS C, KAYNAK O. Interval type -2 fuzzy neural system based control with recursive fuzzy C -means clustering[J]. International Journal of Fuzzy Systems, 2014,16(3):317-326.
[12] 于仲安,杨国亮.基于大脑情感学习模型的参考自适应液压伺服控制系统研究[J].计算机测量与控制,2013,21(3):671-673.
[13] BALKENIUS C, MOREÂN J. Emotional learning: a computational model of the amygdala[J]. Cybernetics and Systems, 2001,32(6): 611-636.
[14] 赵国新,宋玉宝,王安,等.大脑情感学习控制器的两关节机器人运动控制[J].机械设计与制造,2019(8):139-141.
[15] 黄国勇,王道波,甄子洋.基于大脑情感学习的推力矢量无人机姿态控制[J].系统工程与电子技术,2009,31(12):2954-2957.
[16] LUCAS C, SHAHMIRZADI D, SHEIKHOLESLAMI N. Introducing BELBIC: brain emotional learning based intelligent controller[J]. International Journal of Intelligent Automation and Soft Computing, 2004,10(1):11-22.
[17] CHUNG C C, LIN C M. Fuzzy brain emotional learning control system design for nonlinear systems[J]. International Journal of Fuzzy Systems, 2015,17(2):117-128.
[18] CHUNG C C, LIN C M. Fuzzy brain emotional cerebellar model articulation control system design for multi -input multi -output nonlinear[J]. Acta Polytechnica Hungarica, 2015,12(4):39-58.
备注/Memo
收稿日期: 2020-11-15
*通信作者: 郑飞杰(1987—),男,讲师,研究方向为机器人智能控制、模糊控制.
基金项目: 福建省自然科学基金(2017J01777); 福建省教育厅中青年教师教育科研项目(JT180503); 三明学院科学研究发展基金(B201814)