基于多目标遗传算法的船舶航向自抗扰控制器参数整定

唐正茂,解 德

大连海事大学学报 ›› 2013, Vol. 39 ›› Issue (3) : 9-12.

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PDF(492 KB)
大连海事大学学报 ›› 2013, Vol. 39 ›› Issue (3) : 9-12.
论著

基于多目标遗传算法的船舶航向自抗扰控制器参数整定

  • 唐正茂1,2,解 德2
作者信息 +

Parameter tuning for ship course active  disturbance rejection controller based  on multi-objective genetic algorithm

  • TANG Zheng-mao1,2,XIE De2
Author information +
文章历史 +

摘要

针对自抗扰控制器参数整定通常采用“试凑法”,整定过程繁琐复杂,无法顺利得到合理控制参数的现状,根据自抗扰控制器设计的“分离性原理”提出了一种“三步优化法”.该方法利用多目标遗传算法对自抗扰控制器参数进行分步优化,可解决自抗扰控制器参数众多、难以便捷的整定问题.对带舵机约束的15万t级油船航向二阶自抗扰器参数进行整定.结果表明,该方法行之有效,便于工程应用.

Abstract

As to the problems of parameters tuning for active disturbance rejection controller (ADRC) usually using Cut & Try method to deal with the difficulties, and the procedure was complicated and tedious, and therefore it is hard to achieve the expected goal, a threestep procedure was established according to the separation principle. The method used the multiobjective genetic algorithm to optimize the parameters of ADRC step by step,which can deal with the difficulties in the parameter regulation of the ADRC. A numerical example was tested in the 2ndorder heading ADRC for a 150 000 t tanker with steering gear , and results show that the proposed method can easily find the optimal available parameters to design the ADRC and thus the controller can track the command heading quickly and smoothly.

关键词

船舶 / 航向控制 / 自抗扰控制器 / 遗传算法 / 参数整定

Key words

ship / course control / active disturbance rejection controller / genetic algorithm / parameter tuning

引用本文

导出引用
唐正茂,解 德. 基于多目标遗传算法的船舶航向自抗扰控制器参数整定[J]. 大连海事大学学报. 2013, 39(3): 9-12
TANG Zheng-mao,XIE De. Parameter tuning for ship course active  disturbance rejection controller based  on multi-objective genetic algorithm[J]. Journal of Dalian Maritime University. 2013, 39(3): 9-12

参考文献

[1]HAN Jing-qing. PID to active disturbance rejection control[J]. IEEE Transactions on Industrial Electronics, 2009, 56:900-906. [2]王辰昱.自抗扰控制器的参数整定及应用[D]. 北京:华北电力大学,2009. WANG Chenyu. Applications of auto disturbance rejection control and the parameter adjusting[D]. Beijing:North China Electric Power University,2009. (in Chinese) [3]史永丽,侯朝桢,苏海滨. 基于粒子群优化算法的自抗扰控制器设计[J]. 系统仿真学报,2008,20(2): 433-436. SHI Yong-li, HOU Chao-zhen, SU Hai-bing. Autodisturbancerejection controller design based on particle swarm optimization algorithm[J]. Journal of System Simulation,2008,20(2): 433-436. (in Chinese) [4]HAN Yaozhen, XIAO Hairong, WANG Changshun. Design and simulation of ship course controller based on auto disturbance rejection control technique[C]// Proceedings of the IEEE International Conference on Automation and Logistics. Shenyang:IEEE Press, 2009: 686-691. [5]HAN Jingqing. The structure of linear system and computation of feedback system[C]// The Proceeding of Control Theory and Its Application. Beijing: Academic Press, 1980. [6] NORMAN S. NISE. Control Systems Engineering [M].6th ed.[S.l.]: Wiley, 2011. [7]陈文文. 船舶航向非线性系统自抗扰控制器的仿真研究[D].济南:山东大学,2008. CHEN Wen-wen. Simulation research on ship course nonlinear system based on auto disturbance rejection controller[J].Jinan: Shandong University, 2008. (in Chinese) [8]DEB K,PRATAP A, ARGRAWAL S, et al.A fast and elitist multiobjective genetic algorithm: NSGA II [J].IEEE Trans Evolutionary Computation,2002,6(2):182-197.

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