智能系统学报
智能繫統學報
지능계통학보
CAAI TRANSACTIONS ON INTELLIGENT SYSTEMS
2013年
3期
254-260
,共7页
李秀英%李桂英%毛琳%薛荆岩%孟华
李秀英%李桂英%毛琳%薛荊巖%孟華
리수영%리계영%모림%설형암%맹화
粒子群优化%非线性系统%无模型控制%大时滞
粒子群優化%非線性繫統%無模型控製%大時滯
입자군우화%비선성계통%무모형공제%대시체
particle swarm optimization%nonlinear system%model-free control%large time-delay
针对一类非线性大时滞系统,提出了一种不需要精确已知系统的数学模型的无模型控制方法和一种改进的粒子群算法。该控制方法是在泛模型的基础上增加误差反馈修正项,将改进泛模型作为系统模型,根据二次型性能指标设计最优控制律,利用改进的粒子群算法优化控制律中的未知参数,粒子的取值范围通过对闭环系统的收敛性分析来确定。仿真研究表明,闭环控制系统的输出具有较好的响应速度和较小的跟踪误差的优点,证明了所提出方法的有效性。
針對一類非線性大時滯繫統,提齣瞭一種不需要精確已知繫統的數學模型的無模型控製方法和一種改進的粒子群算法。該控製方法是在汎模型的基礎上增加誤差反饋脩正項,將改進汎模型作為繫統模型,根據二次型性能指標設計最優控製律,利用改進的粒子群算法優化控製律中的未知參數,粒子的取值範圍通過對閉環繫統的收斂性分析來確定。倣真研究錶明,閉環控製繫統的輸齣具有較好的響應速度和較小的跟蹤誤差的優點,證明瞭所提齣方法的有效性。
침대일류비선성대시체계통,제출료일충불수요정학이지계통적수학모형적무모형공제방법화일충개진적입자군산법。해공제방법시재범모형적기출상증가오차반궤수정항,장개진범모형작위계통모형,근거이차형성능지표설계최우공제률,이용개진적입자군산법우화공제률중적미지삼수,입자적취치범위통과대폐배계통적수렴성분석래학정。방진연구표명,폐배공제계통적수출구유교호적향응속도화교소적근종오차적우점,증명료소제출방법적유효성。
A model-free control scheme and improved particle swarm optimization (IPSO) algorithm have been pro-posed for a class of nonlinear large time-delay systems, where the precise mathematical models of the controlled sys-tems do not need to be known.The universal model was improved by adding an error feedback correction term , thus, allowing the improved universal model to be used as a system model .On the basis of the improved universal model, the optimal control law was designed according to a quadratic type performance index .The unknown param-eters in the control law are optimized by IPSO and the range of particles was determined by analyzing the conver -gence of the closed-loop system.The simulation research shows that the outputted close-loop control system has the advantages of fast response speed and a small tracking error , proving the effectiveness of the proposed method .