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模型预测控制算法在AUV中的应用 被引量:1

Model Predictive Control of an Autonomous Underwater Vehicle
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摘要 模型预测控制是一种工程实践方法,它采用滚动优化的策略,通过不断地在线优化计算,获得最优的控制效果。文中对模型预测控制理论在自主式水下航行器水平面航向控制中的应用进行了研究,用视线导引法产生参考航向角,通过遗传算法对其性能指标函数进行优化,通过计算机仿真显示出这种算法的可行性。 Model predictive control(MPC)is a method of engineering.It computes a sequence of manipulated variable adjustments in order to optimize the future behaviour of a plant.This paper investigates the application of model predictive control to the autonomous underwater vehicle.A line of sight guidance scheme is used to generate the reference heading.The optimization of the performance index is done using GA.Simulation results are presented to demonstrate the suitability of the proposed algorithm.
出处 《弹箭与制导学报》 CSCD 北大核心 2005年第S6期272-274,共3页 Journal of Projectiles,Rockets,Missiles and Guidance
关键词 模型预测控制 AUV 遗传算法 视线导引 model predictive control autonomous underwater vehicle genetic algorithm line of sight guidance
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  • 1Cutler C.R.,Perry T.Dynamic matrix control:a computer control[C].Proc.of the Joint Automatic Control Conference,San Francisco,WP5-B,1980.
  • 2John Holland.Adaptation in Natural and Artificial Systems[M].University of Michigan Press,1975.
  • 3K.F.Man,K.S.Tang,S.Kwong et al..Genetic algorithms for control and signal processing[M].Springer,1997.
  • 4Baker J.E.Reducing bias and inefficiency in the selection algorithms[C].Proc.2ndInt.Conf.Genetic Algorithms.Lawrence Erlbaum Associates,Hillsdale,NJ:1987,14-21.
  • 5Chipperfield A,Fleming P,Pohlheim H et al..Genetic Algorithm Toolbox:Users Guide[M].Dept.of Automatic Control and System Engineering,Univ.of Sheffield,U.K.,1994.
  • 6Z米凯利维茨.演化程序--遗传算法和数据编码的结合[M].北京:科学出版社,2000..
  • 7席裕庚.预测控制[M].北京:国防工业出版社,1996..
  • 8Hu B, Linneman A. Toward Infinite-Horizon Optimality in Nonlinear Model Predictive Control. IEEE Transactions on Automatic Control, 2002, 47(4): 679- 682
  • 9Garcia C, et al. Model Predictive Control Theory and Practice--A Survey. Automatica, 1989, 25:335-348
  • 10潘正君 康立山 陈毓屏.演化计算[M].北京:清华大学出版社,2000..

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