1.成都工业职业技术学院 装备制造学院, 四川 成都 610218
2.四川大学 锦江学院 机械工程学院, 四川 眉山 620860
周远非(1983— ),男,四川汉源人,硕士,工程师;研究方向为械制造及自动化。
扫 描 看 全 文
周远非,唐海涛.含约束的能耗最优冗余度机械臂轨迹规划[J].机械传动,2022,46(08):27-32.
Zhou Yuanfei,Tang Haitao.Trajectory Planning of Energy Consumption Optimal Redundant Manipulators with Constraints[J].Journal of Mechanical Transmission,2022,46(08):27-32.
周远非,唐海涛.含约束的能耗最优冗余度机械臂轨迹规划[J].机械传动,2022,46(08):27-32. DOI: 10.16578/j.issn.1004.2539.2022.08.005.
Zhou Yuanfei,Tang Haitao.Trajectory Planning of Energy Consumption Optimal Redundant Manipulators with Constraints[J].Journal of Mechanical Transmission,2022,46(08):27-32. DOI: 10.16578/j.issn.1004.2539.2022.08.005.
针对如何降低冗余度或超冗余度机械臂轨迹优化复杂度的问题,提出了一种含约束的能耗最优机械臂轨迹规划方法。基于拉格朗日动力学对冗余度机械臂进行动力学建模,并利用均匀5次B样条函数来构建运动轨迹。为了提高轨迹优化的计算效率,通过在成本函数计算中处理运动学和动力学约束,设计了新的惩罚算法,以避免在所有约束都不满足的情况下运行逆动力学模型;在运行逆动力学模型进行轨迹优化之前,引入了一种新的虚拟连杆概念来替换所有冗余连杆,以消除物理上不可能的配置;同时在3自由度冗余度机械臂上对所提方法进行了实验验证。结果表明,仿真和实测获得了相同的预期最优轨迹跟踪性能,且轨迹优化后的能耗显著降低了约56.32%,验证了所提轨迹规划优化方法的有效性。
Aiming at the problem of how to reduce the complexity of trajectory optimization of redundant or super-redundant manipulators, a constrained energy consumption optimal manipulator trajectory planning method is proposed. The dynamics of the redundant manipulator are modeled based on lagrange dynamics, and the motion trajectory is constructed using the uniform quintic B-spline function. In order to improve the computational efficiency of trajectory optimization, a new penalty algorithm is designed through dealing with the kinematic and dynamic constraints in the cost function calculation, so as to avoid running the inverse dynamic model when all the constraints are not met. Before running the inverse dynamic model for trajectory optimization, a new virtual link concept is introduced to replace all redundant links to eliminate the physically impossible configuration. The proposed method is verified by experiments on a three-degree-of-freedom redundant manipulator at the same time. The research results show that the simulation and the actual measurement obtain the same expected optimal trajectory tracking performance, and the energy consumption after trajectory optimization is significantly reduced by about 56.32%, which verifies the effectiveness of the proposed trajectory planning optimization method.
冗余度机械臂最优轨迹规划能耗最优约束处理成本函数
Redundant manipulatorsOptimal trajectory planningEnergy consumption optimizationConstraint processingCost function
ZAPLANA I,BASANEZ L.A novel closed-form solution for the inverse kinematics of redundant manipulators through workspace analysis[J].Mechanism & Machine Theory,2018,121:829-843.
REITER A,MULLER A,GATTRINGER H.On higher-order inverse kinematics methods in time-optimal trajectory planning for kinematically redundant manipulators[J].IEEE Transactions on Industrial Informatics,2018,14(4):1681-1690.
高涵,张明路,张小俊.冗余机械臂空间轨迹规划综述[J].机械传动,2016,40(10):176-180.
GAO Han,ZHANG Minglu,ZHANG Xiaojun.Overview of spatial trajectory planning of redundant manipulator[J].Journal of Mechanical Transmission,2016,40(10):176-180.
JKA G,MELINGUI A,LAKHAL O,et al.A learning framework to inverse kinematics of redundant manipulators[J].IFAC-Paper Online,2020,53(2):9912-9917.
KHAN A H,LI S,CAO X W.Tracking control of redundant manipulator under active remote center-of-motion constraints:an RNN-based metaheuristic approach[J].Science China (Information Sciences),2021,64(3):149-166.
ZHAO L,ZHAO J,LIU H.Solving the inverse kinematics problem of multiple redundant manipulators with collision avoidance in dynamic environments[J].Journal of Intelligent & Robotic Systems,2021,101(2):1-18.
FAN S,FAN S W.An improved approach to the inverse dynamic analysis of parallel manipulators by a given virtual screw[J].Advanced Robotics,2018,32(16):887-902.
王娜,商丽,孙军.考虑任务优先级的超冗余机械臂避障轨迹优化[J].机械设计与制造,2020(12):201-204.
WANG Na,SHANG Li,SUN Jun.Obstacle avoidance trajectory optimization of super redundant manipulator considering task priority[J].Mechanical Design and Manufacturing,2020(12):201-204.
FARONI M,BESCHI M,PEDROCCHI N.Inverse kinematics of redundant manipulators with dynamic bounds on joint movements[J].IEEE Robotics and Automation Letters,2020,5(4):6435-6442.
XU Q,GE S S.Adaptive control of redundant robot manipulators with null-space compliance[J].Assembly Automation,2018,38(5):615-624.
MO Y,JIANG Z H,LI H,et al.A kind of biomimetic control method to anthropomorphize a redundant manipulator for complex tasks[J].Science China(Technological Sciences),2020,63(1):14-24.
朱萌,孟婥,张豪,等.基于ROS的6自由度机械臂运动轨迹规划[J].组合机床与自动化加工技术,2021(4):1-3.
ZHU Meng,MENG Ge,ZHANG Hao,et al.Motion trajectory planning of 6-DOF manipulator based on ROS[J].Modular Machine Tool and Automated Machining Technology,2021(4):1-3.
SEPEHRI A,MOGHADDAM A M.A Motion planning algorithm for redundant manipulators using rapidly exploring randomized trees and artificial potential fields[J].IEEE Access,2021,9:26059-26070.
张明松,肖锦志,王恩恒,等.冗余机械臂的逆运动求解及轨迹规划[J].机械传动,2021,45(6):71-76.
ZHANG Mingsong,XIAO Jinzhi,WANG Enheng,et al.Inverse motion solution and trajectory planning of redundant manipulator[J].Journal of Mechanical Transmission,2021,45(6):71-76.
BIDIKLI B,BAYRAK A.A self-tuning robust full-state feedback control design for the magnetic levitation system[J].Control Engineering Practice,2018,78(9):175-185.
石建平,刘鹏,陈冬云.基于改进粒子群优化算法的冗余机械臂逆运动学求解[J].机械传动,2021,45(2):69-75.
SHI Jianping,LIU Peng,CHEN Dongyun.Inverse kinematics solution of redundant manipulator based on improved particle swarm optimization algorithm[J].Journal of Mechanical Transmission,2021,45(2):69-75.
0
浏览量
4
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构