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Boost变换器的PFC控制电路设计 被引量:1

Control Circuit Design of Boost PFC Converter
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摘要 平均电流控制是较常见的一种控制方法,它可以工作于CCM和DCM工作方式下,可以在输入电压、负载变化范围比较大的场合得到质量很高的电流波形。本文对平均电流控制电路的电流环和电压环的控制参数进行了选择设计,并用改进后的遗传算法对其进行进一步优化设计。最后通过仿真实验证明,优化后,电流环和电压环的相位裕量及稳定性优于优化设计前。 Average current control is one of the common control methods; it can work in CCM and DCM mode, and get the quali- fied current waveform in the occasion that the input voltage and load range is larger. In this paper, the current loop and voltage loop control parameters of average current control circuit is designed selectively, and make a further optimization design with the improved genetic algorithm. Finally, the simulation experiments show that the phase margin and stability of the optimized current loop and voltage loop is superior to the former design.
作者 王志娟
机构地区 德州学院机电系
出处 《山西电子技术》 2014年第6期7-8,39,共3页 Shanxi Electronic Technology
关键词 电流控制 功率补偿 优化控制 current control power compensation optimal control
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参考文献3

  • 1张占松,张心益.高频开关变换技术教程[M].北京:机械工业出版社,2010:39-41.
  • 2R W Erickson,D Maksimovic.Fundamentals of Power Electronics[M].Second Edition.Kluwer Academic Publishers,2001.
  • 3关志华,寇纪淞,李敏强.一种改进的遗传算法Scatter GA[J].控制与决策,2002,17(5):579-582. 被引量:10

二级参考文献7

  • 1[1]Holand J. Adaptation in Nature and Artificial Systems[M]. Michigan: The University of Michigan Press,1975.
  • 2[2]Davis L. The Handbook of Genetic Algorithms[M]. New York: Van Nostrand Reingold,1991.
  • 3[3]Bersini H, Renders B. Hybridizing genetic algorithms with hill climbing methods for global optimization: Two possible ways[A]. 1994 IEEE Int Symposium Evolutionary Computation[C]. Orlando,1994.312-317.
  • 4[4]Corana A, Marchesi M, Martini C, et al. Minimizing multimodal functions of continuous variables with the simulated annealing algorithm[J]. ACM Trans on Mathematical Software,1987,13(3):262-280.
  • 5[5]Michalewicz Z. Genetic Algorithms+Data Structures=Evolution Programs[M]. New York: Springer-Verlag,1994.
  • 6[6]Houck C, Joines J, Kay M. The effective use of local improvement procedures in conjunction with genetic algorithms[R]. North Carolina: North Carolina State University,1995.
  • 7[7]E G Johnson, M A G Abushagur. Micro-genetic algorithm optimization methods applied to dielectric gratings[J]. J of the Optical Society of America,1995,12(5):1152-1160.

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