陈智华, 耿修堂, 肖建华, 张勋才, 甘作新. 基于模拟退火智能算法的自抗扰控制器参数整定及仿真[J]. 信息与控制, 2009, 38(3): 315-319,325.
引用本文: 陈智华, 耿修堂, 肖建华, 张勋才, 甘作新. 基于模拟退火智能算法的自抗扰控制器参数整定及仿真[J]. 信息与控制, 2009, 38(3): 315-319,325.
CHEN Zhi-hua, GENG Xiu-tang, XIAO Jian-hua, ZHANG Xun-cai, GAN Zuo-xin. Tuning of Auto-Disturbance Rejection Controller Based on Simulated Annealing Intelligent Algorithm[J]. INFORMATION AND CONTROL, 2009, 38(3): 315-319,325.
Citation: CHEN Zhi-hua, GENG Xiu-tang, XIAO Jian-hua, ZHANG Xun-cai, GAN Zuo-xin. Tuning of Auto-Disturbance Rejection Controller Based on Simulated Annealing Intelligent Algorithm[J]. INFORMATION AND CONTROL, 2009, 38(3): 315-319,325.

基于模拟退火智能算法的自抗扰控制器参数整定及仿真

Tuning of Auto-Disturbance Rejection Controller Based on Simulated Annealing Intelligent Algorithm

  • 摘要: 针对自抗扰控制器(ADRC)参数多以及由于无确定参数整定算法导致的难以计算最优参数的问题,提出了结合已知参数整定规则的智能模拟退火算法(SA).该方法改进了原始模拟退火算法的搜索规则,提高了参数搜索的范围和效率.最后,通过仿真实例验证了这种改进的智能模拟退火算法的有效性.

     

    Abstract: To solve the problems that the auto-disturbance rejection controller(ADRC) has too many parameters and it is very difficult to calculate a set of optimal parameters without determinate tuning algorithms,an intelligent simulated annealing (SA) algorithm combining with some known tuning rules is proposed.The proposed algorithm improves the search rules of the original simulated annealing algorithm,and increases the parameter search range and efficiency.At last,a simulation example is given to prove the validity of the improved intelligent simulated annealing algorithm.

     

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