本研究提出一種激磁電流改善策略,並應用於切換式磁阻馬達控制驅動系統中,所提出的改善策略能使馬達激磁電流響應有所改善。切換式磁阻馬達具有高轉矩、高效率、無轉子繞組以及成本低廉等優點。然而,其直流驅動電路,有激磁電流最大超越量過大的問題,造成馬達會有惱人的噪音。因此,本研究結合模糊理論設計一處理器,植入切換式磁阻馬達電流控制回路中以抑制電流超越量。所設計之處理器除能進行超越量改善策略外,並且能維持切換式磁阻馬達精簡的控制結構及其控制性能。 為了驗證所設計處理器之性能及可行性,本研究利用dSPACE-DS1104訊號處理平台來實現所提出的改善策略。經由實驗結果證明,本研究所提出之改善策略,於中低轉速範圍時,確實有明顯改善電流最大超越量之效果。
In this thesis, a magnetizing current improvement strategy is proposed, which is practical and applicable for the switched reluctance motors (SRMs) drive system. The proposed strategy can improve magnetizing current response of SRMs. The merits of SRMs include large torque, high power density, high efficiency, no rotor windings and low cost. However, using the dc voltage drive would cause the magnetizing current a considerably large overshoot, and it also produces acoustic noise in SRMs. Thus, this research designs a regulator based on fuzzy theory to reduce current overshoot of SRMs. The proposed regulator can not only effectively reduce current overshoot, but also preserve simple control structure as well as reach satisfactory speed dynamic performance in SRMs. To verify the feasibility and practicality of the proposed regulator, a dSPACE-DS1104 platform is used to implement the proposed improvement strategy. From the experimental results, it is found that the proposed strategy has the claimed control performance under the specific speed range (600-1500 rpm), which includes the low and medium speed ranges.