第5期 吴晓威，等：基于微粒群算法的灰色预测PD控制器 。67· LIU Dongliang,ZHAO Guangyu.Grey feedback linear- 4 结束语 ization speed control and its application in induction mo- tor[J ]Journal of Zhejiang University,2005,39 (8): 本文提出基于微粒群算法的灰色预测PD控 1164-1167 制器，将传统PD、微粒群算法和灰色预测相结合 [11]DIN G CC,LEE K T.Optimal design for power system 利用灰色预测克服时滞，利用微粒群算法优化PD dynamic stabilizer by grey prediction PID control [A]. 控制器的参数.仿真结果表明，该方法可以显著提高 IEEE ICIT'02[C].Bangkok,Thailand,2002. 系统的动态特性，有效地减少系统超调量，缩短调整 [12]LI C Y,HUANG T L.Optimal design for the grey 时间，而且具有较好的鲁棒性和适应性」 prediction PID controller for power system stabilizers by evolutionary programming[A].Proc IEEE Interna- 参考文献： tional Conference on Networking 2004 [C].Taipei, [1]张世超，姜波.基于遗传算法的时变纯滞后系统的在线 China,2004. [13]刘红军，韩璞.时变大滞后系统的自适应灰色预测 辩识与控制[U].计算机应用与软件，2005,22(5)：102- 103. PD控制[U].华北电力大学学报，2004,31(5)：44.47. 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(2):212-215 [9]邹健，杨莹春，诸静.基于灰色模型的预测模糊控制 策略及其应用[J].中国电机工程学报，2002,22(9)：12 14. ZOU Jian,YANG Yingchun,ZHU Jing.Design of Grey 张井岗，1965年生，教授，硕士生导 师，主要研究方向为鲁棒控制和智能控 model based predictive controllers and its application[J ] 制及其应用.发表学术论文60余篇，其 Proceedings of the Chinese Society for Electrical Engi- neering,2002,22(9):12-14. 中20余篇分别被EI、SCI、ISTP检索 [10]刘栋良，赵光宇.灰色反馈线性化控制及其在感应电机 调速中的应用U].浙江大学学报，2005,39(8)：1164- 1167 1994-2008 China Academic Journal Electronic Publishing House.All rights reserved.http://www.cnki.net4 结束语 本文提出基于微粒群算法的灰色预测 PID 控 制器 ,将传统 PID、微粒群算法和灰色预测相结合. 利用灰色预测克服时滞 ,利用微粒群算法优化 PID 控制器的参数. 仿真结果表明 ,该方法可以显著提高 系统的动态特性 ,有效地减少系统超调量 ,缩短调整 时间 ,而且具有较好的鲁棒性和适应性. 参考文献 : [1 ]张世超 ,姜 波. 基于遗传算法的时变纯滞后系统的在线 辩识与控制[J ]. 计算机应用与软件 ,2005 ,22 (5) :102 - 103. ZHAN G Shichao , J IAN G Bo. On2line identification and control of system with time2varying time delay based on genetic algorithms[J ]. Computer Applications and Soft2 ware ,2005 ,22 (5) :102 - 103. 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ZHAN G Guangli , FU Ying. Novel self2adjustable grey prediction controller[J ]. Control and Decision , 2004 , 19 (2) : 212 - 215. [9 ]邹 健 ,杨莹春 ,诸 静. 基于灰色模型的预测模糊控制 策略及其应用[J ]. 中国电机工程学报 ,2002 , 22 (9) :12 14. ZOU Jian , YAN G Yingchun , ZHU Jing. Design of Grey model based predictive controllers and its application[J ]. Proceedings of the Chinese Society for Electrical Engi2 neering , 2002 , 22 (9) : 12 - 14. [10 ]刘栋良 ,赵光宇. 灰色反馈线性化控制及其在感应电机 调速中的应用[J ]. 浙江大学学报 ,2005 ,39 (8) :1164 - 1167. L IU Dongliang , ZHAO Guangyu. Grey feedback linear2 ization speed control and its application in induction mo2 tor[J ]. Journal of Zhejiang University , 2005 , 39 (8) : 1164 - 1167. [11 ]DIN G C C , L EE K T. Optimal design for power system dynamic stabilizer by grey prediction PID control [ A ]. IEEE ICIT’02[C]. Bangkok , Thailand , 2002. [12 ]L I C Y , HUAN G T L. Optimal design for the grey prediction PID controller for power system stabilizers by evolutionary programming [ A ]. Proc IEEE Interna2 tional Conference on Networking 2004 [ C ]. Taipei , China , 2004. [13 ]刘红军 ,韩 璞. 时变大滞后系统的自适应灰色预测 PID 控制[J ]. 华北电力大学学报 ,2004 ,31 (5) :44 - 47. L IU Hongjun , HAN Pu . Adaptive grey prediction PID control of time2variable large delay system[J ]. Journal of North China Electric Power University , 2004 , 31 (5) :44 - 47. [14 ]WU W Y , CHEN S P. A prediction method using the grey model GMC(1 ,n) combined with the grey relation2 al analysis: a case study on Internet access population forecast [J ]. Applied Mathematics and Computation , 2005 ,169 :198 - 217. [15 ] TIEN TZU2L I. A research on the deterministic grey dynamic model with multiple inputs D GDMMI(1 ,1 ,1) [J ]. Applied Mathematics and Computation ,2003 ,139 : 401 - 416. [16 ] KAO C C , CHAN G C W , FUN G R F. The self2tuning PID control in a slider2crank mechanism system by ap2 plying particle swarm optimization approach [ J ]. Mechatronics ,2006 , 16 :513 - 522. [17 ] KHODIER M M. CHRISTODOULOU C G. Linear ar2 ray geometry synthesis with minimum sidelobe level and null control using particle swarm optimization[J ]. IEEE Trans Antennas and Propagation ,2005 ,53 (8) : 2674 - 2679. [ 18 ] GAIN G Z L. A particle swarm optimization approach for optimum design of PID controller in AVR system [J ]. IEEE Trans on Energy Conversion , 2004 , 19 (2) :384 - 391. 作者简介 : 吴晓威 , 女 , 1982 年生 , 硕士研究 生 ,主要研究方向为智能控制和鲁棒控 制. E2mail :wxwei2002467 @126. com. 张井岗 ,1965 年生 ,教授 ,硕士生导 师 ,主要研究方向为鲁棒控制和智能控 制及其应用. 发表学术论文 60 余篇 ,其 第 5 期 吴晓威 ,等 :基于微粒群算法的灰色预测 PID 控制器 · 76 · 中 20 余篇分别被 中 20 余篇分别被EI、SCI、ISTP 检索