系统工程理论与实践
繫統工程理論與實踐
계통공정이론여실천
Systems Engineering—Theory & Practice
2014年
5期
1256~1266
,共null页
王建宏 朱永红 肖绚 唐得志
王建宏 硃永紅 肖絢 唐得誌
왕건굉 주영홍 초현 당득지
虚拟参考反馈校正控制 模型匹配 全局优化 控制器检验 迭代辨识
虛擬參攷反饋校正控製 模型匹配 全跼優化 控製器檢驗 迭代辨識
허의삼고반궤교정공제 모형필배 전국우화 공제기검험 질대변식
virtual reference feedback tuning control; model matching; global optimization; controllervalidation; iterative identification
在线性框架下研究基于输入输出观测数据对未知系统模型中两反馈控制器的设计问题.采用虚拟参考反馈校正控制直接设计控制器,无需系统建模过程.在构造代价函数时,同时考虑闭环传函和灵敏度的模型一匹配问题.针对模型匹配过程,分别设计虚拟输入和扰动;推导用于观测数据预处理的滤波器.在设计控制器前,利用概率统计法对控制器进行检验以保证闭环系统的稳定性.针对控制设计中的参数优化,利用数值优化理论分析迭代最小二乘辨识算法所生成的迭代序列与全局最优值闻的逼近式,以此式作为评价收敛性和收敛速度的依据.最后用仿真算例验证方法的有效性.
在線性框架下研究基于輸入輸齣觀測數據對未知繫統模型中兩反饋控製器的設計問題.採用虛擬參攷反饋校正控製直接設計控製器,無需繫統建模過程.在構造代價函數時,同時攷慮閉環傳函和靈敏度的模型一匹配問題.針對模型匹配過程,分彆設計虛擬輸入和擾動;推導用于觀測數據預處理的濾波器.在設計控製器前,利用概率統計法對控製器進行檢驗以保證閉環繫統的穩定性.針對控製設計中的參數優化,利用數值優化理論分析迭代最小二乘辨識算法所生成的迭代序列與全跼最優值聞的逼近式,以此式作為評價收斂性和收斂速度的依據.最後用倣真算例驗證方法的有效性.
재선성광가하연구기우수입수출관측수거대미지계통모형중량반궤공제기적설계문제.채용허의삼고반궤교정공제직접설계공제기,무수계통건모과정.재구조대개함수시,동시고필폐배전함화령민도적모형일필배문제.침대모형필배과정,분별설계허의수입화우동;추도용우관측수거예처리적려파기.재설계공제기전,이용개솔통계법대공제기진행검험이보증폐배계통적은정성.침대공제설계중적삼수우화,이용수치우화이론분석질대최소이승변식산법소생성적질대서렬여전국최우치문적핍근식,이차식작위평개수렴성화수렴속도적의거.최후용방진산례험증방법적유효성.
In this paper, we discuss the problem of designing two feedback controllers for an unknown plant based on input-output measurements in a linear setting. The virtual reference feedback tuning is used to design controller. No model identification of the plant is needed. When constructing the cost function, we consider model-matching problems between closed loop transfer function and sensitivity function simultaneously. In model-matching procedures, we analysis how to design the virtual input and disturb respectively and derive a filter expression used to filter measurement data. A controller validation test aiming at attain the closed-loop stability before the designed controller is applied to the plant. To the parameter optimization problem, we analyze the iterative sequence generated by the iterative least square identification algorithm. ~rthermore we derive the approximation relation expression between the iterative sequence and global optimum value. Based on this approximation relation expression, we evaluate the algorithm's convergence property and velocity. Finally the simulation example results confirm the theoretical results.