计算机科学 ›› 2016, Vol. 43 ›› Issue (6): 270-275.doi: 10.11896/j.issn.1002-137X.2016.06.053
杨亮,傅瑜,付根平,邓春健
YANG Liang, FU Yu, FU Gen-ping and DENG Chun-jian
摘要: 针对高能耗导致的仿人机器人难以大规模实用化的问题,提出了一种新的仿人机器人参数化跑步步态优化方法。分析了不同跑步步态参数对仿人机器人水平、垂直方向的稳定性及能耗的影响,将机器人步态优化问题转化为对步态参数的多目标寻优问题,根据连杆模型得到机器人跑步过程中水平、垂直方向的稳定裕度及能耗表达式,并构造目标函数,采用基于对位学习的遗传算法对机器人参数化跑步步态进行多目标寻优,在保证机器人俯仰、翻滚和偏摆各方向力矩平衡的前提下降低整体能量消耗;针对传统遗传算法早熟及收敛速度慢的问题,提出基于领域知识的精细化初始成员策略,采取生成种群成员对位点的方式更新种群,以加快收敛速度;为提高轨迹跟踪性能,设计了自适应控制器,并给出了稳定性证明。仿真实验表明:该方法能有效降低能耗并保证其稳定性。
[1] Wang Li-yang,Liu Zhi,Zeng Xiao-jie,et al.Gait control based on energy-efficiency optimization for biped robots[J].Control Theory & Application,2011,28(5):667-674(in Chinese) 王丽杨,刘治,曾小杰,等.基于能效优化的两足机器人步态控制方法[J].控制理论与应用,2011,28(5):667-674 [2] Shin H K,Kim B K.Energy-Efficient Gait Planning and Control for Biped Robots Utilizing the Allowable ZMP Region[J].IEEE Transactions on Robotics,2014,30(4):986-993 [3] Kalyanakrishnan S,Goswami A.Learning to Predict Humanoid Fall[J].International Journal of Humanoid Robotics,2011,8(2):245-273 [4] Vukobratovi C′ M,Borovac B,Potkonjak V.ZMP:A review of some basic misunderstandings[J].International Journal of Humanoid Robotics,2011,3(3):153-175 [5] Vukobratovi C′ M,Borovac B.Zero-moment point—thirty fiveyears of its life[J].International Journal of Humanoid Robotics,2004,1(1):157-173 [6] Liu Z,Wang L Y,Chen C L P,et al.Energy-efficiency-based gait control system architecture and algorithm for biped robots[J].IEEE Transactions on Systems,Man,and Cybernetics,Part C:Applications and Reviews,2011,42(6):926-933 [7] Fu Gen Ping,Yang Yi Min,Huang Chun Lin.Walking Pattern Optimization Based on Particle Swarn Optimization For Biped Robot[J].Journal of Huazhong University of Science and Technology(Natural Science),2011,39(Z2):355-358(in Chinese) 付根平,杨宜民,黄春林.基于粒子群优化算法的双足机器人步态优化 [J].华中科技大学学报(自然科学版),2011,39(Z2):355-358 [8] Dip G,Prahlad V,Kien P D.Genetic algorithm-based optimal bipedal walking gait synthesis considering tradeoff between stabi-lity margin and speed[J].Robotica,2009,27(3):355-365 [9] Cardenas-Maciel S L,Castillo O,Aguilar L T.Generation ofwalking periodic motions for a biped robot via genetic algorithms[J].Applied Soft Computing,2011,11(8):5306-5314 [10] Xing D P,Su J B.Arm/trunk motion generation for humanoid robot[J].Science China Information Sciences,2010,53(8):1603-1612 [11] Li Yong,Chen Jian-chang,Wang Yu.Multi-objective GeneticAlgorithm Based on Opposition Learning[J].Journal of System Simulation,2009,1(24):7801-7804(in Chinese) 李勇,刘建昌,王昱.基于对位学习的多目标遗传算法[J].系统仿真学报,2009,1(24):7801-7804 [12] Kajita S.Humanoid robots[J].Beijing:Tsinghua UniversityPress,2007(in Chinese) 梶田秀司.仿人机器人[M].北京:清华大学出版社,2007 [13] Fu Gen-ping.Research on Gait Planning and Walking Control for Humanoid Robot[D].Guangzhou:Guangdong University of Technology.2013(in Chinese) 付根平.仿人机器人的步态规划和步行控制研究[D].广州:广东工业大学,2013 [14] Tizhoosh H R.Opposition-Based Learning:A New Scheme for Machine Intelligence[C]∥CIMCA-IAWTIC’06.2005:695-701 [15] Rahnamayan S,Tizhoosh H R,Salama M M A.Opposition-based differential evolution[J].IEEE Transactions on Evolutionary Computation,2008,12(1):64-79 [16] Zhang L,Huang Q,Lv S,et al.Humanoid motion design consi-dering rhythm based on human motion capture[C]∥2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.IEEE,2006:2491-2496 [17] Min Ying-ying,Liu Yun-gang.Barbalat Lemma and its application in analysis of system stability[J].Journal of Shandong University(Engineering Science),2007,37(1):51-55(in Chinese) 闵颖颖,刘允刚.Barbalat 引理及其在系统稳定性分析中的应用[J].山东大学学报(工学版),2007,37(1):51-55 |
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