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Volume 32 Issue 6
Dec.  2003
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HE Jian-jun, YU Shou-yi, ZHONG Jue. OPTIMAL SETTING METHOD OF CONTROL PARAMETERS BASED ON SIMULATED ANNEALING-GENETIC ALGORITHM FOR COMPLICATED ELECTROMECHANICAL SYSTEM[J]. INFORMATION AND CONTROL, 2003, 32(6): 486-489,494.
Citation: HE Jian-jun, YU Shou-yi, ZHONG Jue. OPTIMAL SETTING METHOD OF CONTROL PARAMETERS BASED ON SIMULATED ANNEALING-GENETIC ALGORITHM FOR COMPLICATED ELECTROMECHANICAL SYSTEM[J]. INFORMATION AND CONTROL, 2003, 32(6): 486-489,494.
shu

OPTIMAL SETTING METHOD OF CONTROL PARAMETERS BASED ON SIMULATED ANNEALING-GENETIC ALGORITHM FOR COMPLICATED ELECTROMECHANICAL SYSTEM

  • 1.

    College of Information Science and Engineering, Central South University, Changsha 410083, China

  • 2.

    College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China

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  • Received Date: October 07, 2002
  • Published Date: December 19, 2003
    Graphical Abstract
    • Abstract
  • In complicated electromechanical systems, there are many adjustable parameters, their tuning ranges are wide, the coupling effects among parameters are severe, and it is hard to set and match these parameters with traditional method. In order to solve these problems, this paper puts forward an optimal setting method of control parameters based on simulated annealing-genetic algorithm.The new searching method derives from ingenious combining of simulated annealing algorithm and genetic algorithm. It draws on the advantages of simulated annealing algorithm and genetic algorithm,so it is efficient and robust. The method is applied to parameter optimization of main drive speed control system of temper mill, and its performance index is optimal.
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    • References (7)
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