【摘要】：提出一種基于模糊動態(tài)代價(jià)函數(shù)的有限控制集模型預(yù)測電流控制方法。分析了dq軸電流及開關(guān)次數(shù)三個(gè)控制目標(biāo)權(quán)重分配不同對電流控制性能的影響,針對傳統(tǒng)有限控制集模型預(yù)測電流控制中代價(jià)函數(shù)的dq軸電流項(xiàng)無針對性優(yōu)化的狀況,通過判斷轉(zhuǎn)速偏差及轉(zhuǎn)速變化率,應(yīng)用模糊算法對權(quán)重系數(shù)進(jìn)行多目標(biāo)動態(tài)優(yōu)化分配,并給出模糊論域和相應(yīng)的模糊推理規(guī)則設(shè)計(jì)。該方法提高了動態(tài)過程中系統(tǒng)電流響應(yīng)速度,優(yōu)化了逆變器開關(guān)頻率,改善了不同權(quán)重系數(shù)下系統(tǒng)動態(tài)性能和穩(wěn)態(tài)裕度相互制約的狀況。仿真和實(shí)驗(yàn)結(jié)果均證明了所提方法的有效性。
[Abstract]:A finite control set model predictive current control method based on fuzzy dynamic cost function is proposed. The influence of dq axis current and switching number on the current control performance is analyzed. The current term of dq axis in the traditional finite control set model prediction is not optimized in the case of the dq axis current term in the traditional finite control set model predictive current control, and the current term of the dq axis is not optimized according to the traditional finite control set model. By judging the speed deviation and the speed change rate, the fuzzy algorithm is used to optimize the weight coefficient dynamically, and the fuzzy universe and the corresponding fuzzy inference rules are given. This method improves the current response speed of the system, optimizes the switching frequency of the inverter, and improves the condition that the dynamic performance and the steady-state margin of the system are restricted by each other under different weight coefficients. Simulation and experimental results demonstrate the effectiveness of the proposed method.
【作者單位】： 西北工業(yè)大學(xué)自動化學(xué)院;
【基金】：國家自然基金面上項(xiàng)目資助(51177135)
【分類號】：TM341
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本文編號：2450805