期刊文献+

对平面连杆机构进行高阶运动参数综合的杆组运动约束法 被引量:1

The Link Group Kinematic Restrait of High Order Kinematic Synthesis for a Plane Linkage Mechanism
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摘要 针对4-6杆及部分8杆机构,提出了统一按《3杆组》进行尺寸综合的一般方法,建立了函数发生器按0-2阶运动参数、轨迹发生器按曲率进行综合的一般方程,并探讨了各中间杆未知运动参数的性质及其处理原则。 In this paper the united concept and methlXi based on the″Ⅲ- bak group″ are presented and used in the mechanism synthesis in accordance with the rnechanisms involving Ⅳ to Ⅶ bar and even some of the Ⅶ-bak ones. The general synthesis equations on the basis of O-2 rank kinematic parameters for the function generator and of currature for the locus generatOr are set up.Also,the properties of some unknown interrnediate kinematic parameters and the theds handling them are approached.
作者 黄茂林 刘毅
机构地区 重庆大学
出处 《重庆大学学报(自然科学版)》 CAS CSCD 1994年第2期89-94,共6页 Journal of Chongqing University
关键词 综合 运动参数 平面连杆机构 linkge mechanisms synthesis higher order
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参考文献3

  • 1黄茂林,天津大学学报,1990年,增刊
  • 2楼鸿棣,高等机械原理,1990年
  • 3团体著者,运动学及机构设计,1983年

同被引文献13

  • 1刘康,余玲.一种改进的微粒群算法——多步长微粒群算法[J].机械设计,2004,21(7):24-26. 被引量:5
  • 2褚金奎,郭晓宁.Stephenson六杆机构可动性研究[J].机械工程学报,2004,40(11):26-34. 被引量:5
  • 3Yoshida H, Kawata K, Fukuyama Y. A particle swarm optimization forreactive power and voltage control considering voltage security assessment[J]. IEEE Trans on Power Systems,2000,15(4):1 232-1 239.
  • 4Peng Yu, Peng Xi-yuan, Meng Sheng-wei. Virtual instrument parameter calibration with particle swarm optimization[C]. Proceedings of 2003 IEEE Swarm Intelligence Symposium. IEEE Press,2003 ; 42-45.
  • 5Kennedy J, Eberhart R C. Particle swarm optimization[C]. Proceedings of IEEE International Conference on Neural Networks.Perth,WA,Australia,1995:1 942-1 948.
  • 6Eberhart R C, Kennedy J. A new optimizer using particle swarm theory[ C ]. Proceedings of Sixth International Symposium on Micro Machine and Human Science. Nagoya,Japan: Nagoya Municipal Industrial Research Institute, 1995 : 39-43.
  • 7Shi Yu-hui, Eberhart R C. Parameter selection in particle swarm optimization[C]. Proceedings of 7th Annual Conference on Evolutionary Programming, March 1998: 591-601.
  • 8Kennedy J, Spears W M. Matching algorithms to problems: an experimental test of the particle swarm and .some genetic algorithms on the multimodal problem generator[C]. Proceedings of IEEE International Conference on Evolutionary Computation. Anchorage, AK, USA, 1998 :78-83.
  • 9Ozcan E, Mohan C. Particle swarm optimization: surfing the waves[C]. Proceedings of the Congress on Evolutionary Computation. Washington D. C,USA:IEEE Press,1999:1 939-1 944.
  • 10Ray T, Liew K M. A swarm with an effective information sharing mechanism for unconstrained and constrained single objective optimization problems[C]. Proceedings of IEEE International Conference on Evolutionary Computation. South Korea:IEEE Press,Seoul, 2001:75-80.

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