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Volume 39 Issue 11
Nov.  2013
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Journal of Beijing University of Aeronautics and Astronautics  > 2013  >  39(11): 1475-1479,1508.
Lu Qidong, Chen Xin, Zhang Minet al. μ-synthesis robust control for air-to-air missile based on dynamic acceleration constant PSO arithmetic[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(11): 1475-1479,1508. (in Chinese)
Citation: Lu Qidong, Chen Xin, Zhang Minet al. μ-synthesis robust control for air-to-air missile based on dynamic acceleration constant PSO arithmetic[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(11): 1475-1479,1508. (in Chinese)
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μ-synthesis robust control for air-to-air missile based on dynamic acceleration constant PSO arithmetic

  • College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China

  • Received Date: 11 Dec 2012
  • Publish Date: 30 Nov 2013
    Abstract
  • Particle swarm optimization (PSO) algorithm is prone to premature convergence in the control parameter optimization of air-to-air missile μ-synthesis controller, which makes the global optimal solution inaccessible. Aiming at this situation, dynamic acceleration constant particle swarm optimization (CPSO) algorithm was proposed. This improved algorithm, through changing the index form of the acceleration constant, expanded the searching range in the beginning phase of optimization, improved the efficiency of convergence in its latter phase, and finally the premature phenomena was avoided. The simulation results reveal that the improved version of exponential CPSO algorithm is of great significance in engineering applications. It has a better ability in global searching. μ-synthesis controller based on this algorithm maintains optimal performance, which meets the given performance indicators and automatic design specifications and saves much design time.

     

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