本文選題：永磁直線同步電機　切入點：迭代學習控制　出處：《電工技術(shù)學報》2017年23期

【摘要】：針對執(zhí)行重復(fù)任務(wù)的永磁直線同步電機(PMLSM)在迭代學習過程中易受負載擾動、參數(shù)變化等非重復(fù)性擾動的影響而難以實現(xiàn)高性能跟蹤控制的問題,提出了一種迭代學習控制(ILC)與變論域模糊控制相結(jié)合的分段變論域模糊ILC方法。在誤差較大的時間段,采用變論域模糊控制實時地改變ILC的學習增益,并智能地調(diào)整模糊控制的論域,抑制不確定性因素對系統(tǒng)的影響,提高控制精度;在誤差較小的時間段,采用PD型ILC,使學習增益穩(wěn)定,進一步減小位置誤差。實驗結(jié)果表明,該控制方法可以有效地加快收斂速度,提高位置跟蹤精度,并增強系統(tǒng)的魯棒性。
[Abstract]:In order to solve the problem that PMLSM (permanent Magnet Linear synchronous Motor) performing repetitive tasks is easily affected by non-repetitive disturbances such as load disturbance and parameter change during iterative learning, it is difficult to achieve high performance tracking control. A piecewise variable domain fuzzy ILC method combining iterative learning control with variable domain fuzzy control is proposed. The variable domain fuzzy control is used to change the learning gain of ILC in real time when the error is large. The fuzzy control domain is adjusted intelligently, the influence of uncertain factors on the system is restrained, and the control precision is improved. In the period of small error, PD ILC is used to stabilize the learning gain and further reduce the position error. This control method can speed up the convergence speed, improve the precision of position tracking and enhance the robustness of the system.
【作者單位】： 沈陽工業(yè)大學電氣工程學院;
【基金】：國家自然科學基金項目(51175349) 遼寧省自然科學基金項目(20170540677)資助
【分類號】：TM341;TM921.541
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本文編號：1667379