期刊文献+

直驱式电液控制系统的多目标优化设计 被引量:1

The Design of Directive-driven Electro-actuator Control System Based on Multi-objective Optimization
在线阅读 下载PDF
导出
摘要 针对直驱式电液作动控制系统需具备良好的静态、动态特性,根据系统的工作原理确定其数学模型,并对其进行定性的分析。结果表明直驱式电液作动控制系统的性能目标相互耦合,因此,在系统结构设计时需要综合考虑。提出基于Pareto多目标的优化算法,对该控制系统的多个性能指标进行多目标优化设计,所得结果可为设计该系统提供参考。 The paper describes the principle of the EHA at first.On the basis of it,a detail mathematical plant model is constructed.Favorable rigidity and dynamic characteristics of the system,which couple up each other,are compromised in the course of design.A multi-objective particle swarm optimization algorithm,which makes use of optimization of this system design,is designed based on the Pareto theory.The no-inferior set providse the best site of the population,which guides the particles convergence fastly.Simultaneity for the sake of maintaining the diversity of the population,the dynamic uniformity distributing of objective function fitness,which can improve the diversity of the population,is adjusted in thisstudy.The optimization results provide instructional purposes for the system design.
出处 《液压与气动》 北大核心 2015年第6期24-28,34,共6页 Chinese Hydraulics & Pneumatics
基金 国家自然科学基金(51305328) 国家支撑计划项目(2014BAF02B00)
关键词 电动静液作动器 多目标优化 粒子群优化 均匀分布 electro-hydrostatic actuator(EHA) multi-objective optimization particle swarm optimization uni-formity distributing
  • 相关文献

参考文献7

  • 1Saeid ttabibi, Richard Burton, Eric Sampson. lligh PrecAsion Hydrostatic Actuation System for Micro and Nanomaniptda- tion of Heavy Loads[ J ]. Juumal of Dynamic Systems, Meas- urement, and Control, Transactions of the ASME, 2006,12 (128) :778 -787.
  • 2Y Chinniah, R Burton, S ttabibi. Failure Monitoring in High Performance Hydrostatic Actuation System Using the Extend- ed Kahnan Filter[ J ]. Mechatronics ,2006, ( 16 ) :643 - 653.
  • 3M Pachter, C H Houpis, K Kang. Modelling and Control of an Eleetro-hydrostatie Actuator[ J]. Internatiorml Journal of Ro- bust and Nonlinear Contrul, 1997, ( 7 ) : 591 - 608.
  • 4S R Habibi, R Burton. Parameter Idenlification for a High Performance Hydrostatic Actuation System Using the Varia- ble Structure Filter Concept [ J ]. Journal of Dynamic System, Measurement ,and Control ,2007,3 ( 129 ) :229 - 235.
  • 5Bo Yang, Yuanping Chen, Zunlian Zhao. A Hybrid Evolution- ary Algorithm by Combination of PSO and GA for Uncon- strained and Constrained Optimization Problems [ A ]. 2007 IEEE International Conference on Control and Automation [ C ]. Guangzhou, China : IEEE ,2007 : 166 - 170.
  • 6Jin S I-Ieo, Kwang Y Lee, Raul Garduno-Ramirez. Muhiobjec- tive Control of Power Plants Using Particle Swarm Optimiza-tion Techniques [ J ]. IEEE Transactions on Energy Conver- sion,2006,2(21 ) :552 -561.
  • 7Carlos A Coello Coello, Maximino Salazar Lechuga. MOPSO: A Proposal for Multiple Objective Particle Swarm Optimiza- tion[ C ]. IEEE Congress on Evolutionary Computation, New York,2002 : 1051 - 1056.

同被引文献8

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部