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基于免疫进化的汽车主动悬架的控制及其鲁棒性 被引量:1

Immune Control for Automotive Active Suspension and Its Robustness
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摘要 基于免疫系统的克隆选择理论,提出了一种具有多样识别能力、鲁棒性强和具有免疫记忆功能的免疫进化控制方法。仿真结果表明,免疫控制器能有效改善汽车的平顺性和操纵稳定性,对系统参数的不确定性具有自适应性和较强的鲁棒性。 Based on clone selection of the immune system,a control strategy for active suspension of a quarter car model was proposed to control car body vertical acceleration, suspension deformation and tire dynamic loads. The proposal has the characteristics of diverse identification facility, good robustness and immune memory. Simulation results indicate that this immune controller can greatly enhance ride comfort and maneuvering performance, and is adaptive and robust against system uncertainty.
机构地区 湖南大学
出处 《中国机械工程》 EI CAS CSCD 北大核心 2006年第10期1096-1098,共3页 China Mechanical Engineering
关键词 半主动悬架 免疫进化算法 鲁棒性 仿真 active suspension immune evolution algorithm robustness simulation
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  • 1Srinivas M, Pamaik L M. Adaptive Probabilities of Crossover and Mutation in Genetic Algorithm[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1994, 24(4): 656-667.
  • 2Jiao L C, Wang L. A Novel Genetic Algorithm Based on Immunity[J]. IEEE Transactions on System, Man, and Cyberaetics Part A: Systems and Humans, 2000, 30(5) : 552-561,.
  • 3De Castro L N, Von Zuben F J, Learning and Optimization Using the Clonal Selection Principle[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(3) : 239-251.
  • 4Ada G L, Nossal G. The. Clonal Selection Theory[J]. ScientificAmerican, 1987, 257(2): 50-57.
  • 5Choi S B, Lee H K, Chang E G. Field Test Results of a Semi-Active ER Suspension System Associated with Skyhook Controller. Mechatronics, 2001,11(1):345-353
  • 6Rao M V, Prahlad V.A Tunable Fuzzy Logic Controller of Vehicle Suspension Systems. Fuzzy Sets and Systems,1997,85(1):11-21
  • 7Youn I, Hac A. Semi-Active Suspension with Adaptive Capability. Journal of Sound and Vibration, 1995, 180(3):475-492
  • 8Choi S B, Kim W K. Vibration Control of a Semi-Active Suspension Featuring Electrorheological Fluid Dampers. Journal of Sound and Vibration, 2000,234(3): 537-546
  • 9Taketoshi K, Osamu I, Yoshito W. New Semi-Active Suspension Controller Design Using Quasi-Lineariz-ation and Frequency Shaping. Control Engineering Practice , 1998,6(13):1183-1193
  • 10Gordon T J. Non Linear Optimal Control of a Semi-Active Suspension System. Chaos. Solitons and Fractals, 1995, 5(9): 1603-1617

共引文献34

同被引文献14

  • 1郭子龙,王孙安.三种混沌免疫优化组合算法性能之比较研究[J].系统仿真学报,2005,17(2):307-309. 被引量:9
  • 2诸静.模糊控制原理与应用[M].北京:机械工业出版社,1998..
  • 3王小平,曹立明.遗传算法--理论、应用与软件实现[M].西安:西安交通大学出版社,2004.
  • 4RAO M V C, PRAHLAD V. A tunable fuzzy logic controller for vehicle-active suspension systems[J]. Fuzzy Sets and Systems, 1997,85(1):11-21.
  • 5LI Q, YOSHIMURA T, HINO J. Active suspension with preview of large-sized buses using fuzzy reasoning[J]. International of Vehicle Design, 1998, 19(2) :187 - 198.
  • 6YOSHIMURA T, NAKAMINAMI K, KURIMOTO M, et al. Active suspension of passenger cars using linear and fuzzy-logic controls[J]. Control Engineering Practice, 1999, 7(7) :41 - 47.
  • 7CHUN J S, JUNG H K,HAHN S Y. A study on comparison of optimization perfermances between immune algorithm and other heuristic algorithms[J]. IEEE Transactions on Magnetics, 1998,34(5):2972- 2975.
  • 8修春波 刘向东 张宇河.改进的混沌遗传算法.控制与决策,2002,17(2):120-122.
  • 9LIAO G C , TSAO T P. Application embedded chaos search immune genetic algorithm for short-term unit commitment[J]. Electric Power Systems Research, 2004,71(2) ;135 - 144.
  • 10JOO D S. Sliding-mode neural-network inference fuzzy logic controller of nonlinear active-suspension system [D]. University of Detroit Mercy, 1999.

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