Journal of Systems Engineering and Electronics ›› 2013, Vol. 24 ›› Issue (5): 828-837.doi: 10.1109/JSEE.2013.00096

• CONTROL THEORY AND APPLICATION • Previous Articles     Next Articles

Autotuning algorithm of particle swarm PID parameter based on D-Tent chaotic model

Min Zhu1, Chunling Yang1,*, and Weiliang Li2   

  1. 1. School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China;
    2. China FAW Group Corporation R&D Center, Changchun 130000, China
  • Online:2013-10-25 Published:2010-01-03


An improved particle swarm algorithm based on the D-Tent chaotic model is put forward aiming at the standard particle swarm algorithm. The convergence rate of the late of proposed algorithm is improved by revising the inertia weight of global optimal particles and the introduction of D-Tent chaotic sequence. Through the test of typical function and the autotuning test of proportionalintegral- derivative (PID) parameter, finally a simulation is made to the servo control system of a permanent magnet synchronous motor (PMSM) under double-loop control of rotating speed and current by utilizing the chaotic particle swarm algorithm. Studies show that the proposed algorithm can reduce the iterative times and improve the convergence rate under the condition that the global optimal solution can be got.