Electronic Science and Technology ›› 2022, Vol. 35 ›› Issue (11): 29-35.doi: 10.16180/j.cnki.issn1007-7820.2022.11.005

Previous Articles     Next Articles

Fractional Order PIλDμ Control of DC Converter Based on Ant Lion Optimization Algorithm

XIAO Haifei,ZENG Guohui,DU Tao,HUANG Bo,LIU Jin   

  1. School of Electronic and Electrical Engineering,Shanghai University of Engineering Science, Shanghai 201620,China
  • Received:2021-04-21 Online:2022-11-15 Published:2022-11-11
  • Supported by:
    National Natural Science Foundation of China(61603242);National Natural Science Foundation of China(61701296)


In order to improve the response speed and stability of the output voltage of the DC converter, a method using ALO algorithm to improve the fractional order PIλDμ controller of the dual active bridge DC converter is proposed in this study. The parameter to be optimized is regarded as the spatial position of the individual ant lion, and the error performance index ITAE of the double active bridge DC converter is used as the objective function. The ALO algorithm is used to search for the global optimal solution of the parameters of the fractional-order PIλDμ controller, and then the control optimization of the output voltage is realized. The output voltage performance of dual active bridge DC converters with traditional engineering experience setting integer-order PID, particle swarm algorithm setting fractional PIλDμ, and ALO algorithm setting fractional-order PIλDμ are simulated and experimentally compared. The results show that the proposed method can shorten the adjustment time, improve the response speed, and enhance the anti-interference ability of the system, which proves the effectiveness and feasibility of the optimization method.

Key words: DC converter, fractional order PIλDμ control, ant lion optimization algorithm, parameter tuning, control optimization, ITAE

CLC Number: 

  • TN86