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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2019> 28(3): 477-490
Aojia Ma, Lei Zhang, Junfeng Zhao, Yahui Li, Feng Gao. Particle Swarm Optimization Applied to Some Anti-Windup Problems[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2019, 28(3): 477-490. doi: 10.15918/j.jbit1004-0579.17145
Citation: Aojia Ma, Lei Zhang, Junfeng Zhao, Yahui Li, Feng Gao. Particle Swarm Optimization Applied to Some Anti-Windup Problems[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2019, 28(3): 477-490.doi:10.15918/j.jbit1004-0579.17145
shu

Particle Swarm Optimization Applied to Some Anti-Windup Problems

doi:10.15918/j.jbit1004-0579.17145

  • China Academy of Launch Vehicle Technology, Beijing 100076, China

  • Received Date:2017-11-25
    Abstract
  • The particle swarm optimization (PSO) algorithm is introduced to deal with some open anti-windup problems, i.e., determining the initial condition when applying the iterative algorithm to enlarge the estimate of the domain of attraction, determining the design point in the delayed anti-windup scheme, and determining the design point and the weighting factors in the multi-stage anti-windup scheme. Therefore, the corresponding PSO-based algorithms are proposed. Unlike the traditional methods in which the free design parameters can only be selected by trial and error with the available computational results, the PSO-based algorithms provide a systematic way to determine these parameters. In addition, the algorithms are easy to be implemented and are very likely to find the desirable parameters that further improve the anti-windup closed-loop performances. Simulation results are presented to validate the effectiveness and advantages of the proposed method.
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