计算机科学 ›› 2018, Vol. 45 ›› Issue (12): 201-205.doi: 10.11896／j.issn.1002-137X.2018.12.033
孔颖1,2, 孙明轩1
KONG Ying1,2, SUN Ming-xuan1
摘要： 为解决冗余机械臂在运动过程中出现的关节角漂移现象,提出了一种终态吸引优化指标,形成冗余机械臂重复运动规划的二次优化方法。采用具有有限值激活函数的终态神经网络来求解,在初值位置偏移目标位置的情形下,实现冗余机械臂有限时间收敛的重复运动规划任务。同时,分别以新型的终态神经网络(TNN)和其加速网络(ATNN)求解运动规划问题,该网络求解方法具有终态吸引特性,能够在有限的时间内得到有效解。相比具有渐近收敛动态特性的神经网络(ANN),终态神经网络方法不仅改变了收敛速度,而且提高了收敛的精度。基于冗余机械臂PUMA560的计算机仿真结果表明了所提方法的有效性和实时性。
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| [1]PAN H,XIN M.Nonlinear robust and optimal control ofrobotmanipulators[J].Nonlinear Dynamics,2014,76(1):237-254. [2]TAHRIRI F,MOUSAVI M.Optimizing the robot armmove-ment time using virtual reality robotic teaching system[J].International Journal of Simulation Modelling,2015,14(1):28-38. [3]GARCIA F,BORDONS C.Optimal economical schedule of hydrogen-based microgrids with hybrid storage using model predictive control[J].IEEE Transactions on Industrial Electronics,2015,62(8):5195-5207. [4]LEE K K,BUSS M.Obstacle avoidance for redundant robotsusing Jacobiantranspose method[C]∥Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems.2007:3509-3514. [5]ZHANG Y N,XIAO Z L,GUO D S.Singularity-conqueringtracking control of a class of chaotic systems using Zhang-gra-dient dynamics[J].IEEE Transactions on Control Theory & Applications,2015,9(6):871-881. [6]ROSSI R,SANTAMARIA-NAVARRO A.Trajectory generation for unmanned aerial manipulators through quadratic programming[J].IEEE Robotics & Automation Letters,2016,2(2):389-396. [7]ZHANG H.A finite iterative algorithm for solving the complex generalized coupled Sylvester matrix equations by using thelinearoperators[J].Journal of the Franklin Institute,2017,354(4):1856-1874. [8]JIN L,LI S.Distributed task allocation of multiple robots:a control perspective[J].IEEE Transactions on Systems,Man,and Cybernetics,2016,PP(99):1-10. [9]MIN K,FREEMAN C,KANG H.The regulation by phenolic compounds of soil organic matter dynamics under a changing environment[J].Journal of Biomedicine and Biotechnology,2015,2015(6849):433-458. [10]DUGULEANA M,BARBUCEANU F G.Obstacle avoidanceof redundant manipulators using neural networks based reinforcement learning[J].Robotics and Computer-Integrated Manufacturing,2012,28(2):132-146. [11]WHITNEY D E.Resolved motion rate control of manipulators and human prostheses[J].IEEE Transactions on Man Machine Systems,1969,10(2):47-53. [12]TCHON K,JANIAK M.Repeatable approximation of the Jacobian pseudo-inverse[J].Systems and Control Letters,2009,58(12):849-856. [13]CHENG F,CHEN T,SUN Y.Resolving manipulator redundancy under inequality constraints[J].IEEE Transactions on Robotics Automation,1994,10(1):65-71. [14]ZHANG Y,LI W.Physical-limits-constrained minimum velocity norm coordinating scheme for wheeled mobile redundant mani-pulators[J].Robotica,2015,33(2):1325-1350. [15]LI S.Accelerating a recurrent neural netwok to finite-time convergence for solving time-varying sylvester equation by using a sign-bi-power activation function[J].Neural Processing Letters,2013,37(2):189-205. [16]LIN X,LIAO B.A convergence-accelerated Zhang neural network and its solution application to Lyapunov equation[J].Neurocomputing,2016,193(2):213-218.ZHANG Y,YOU Q X,LUO Y,et al.Robot arm remote control based on trajectory planning in joint space.Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition),2012,24(1):104-108.(in Chinese) 张毅,游群霞,罗元,等.基于关节空间轨迹规划的机械臂远程控制.重庆邮电大学学报(自然科学版),2012,24(1):104-108. |
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