期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
卷号：4
期号：1
页码：18820
DOI：10.15680/IJIRSET.2015.0401029
出版社：S&S Publications
摘要：The steady state stability analysis (SSSA) is done using small perturbation model. This study presents adetailed steady state stability analysis (SSSA) criterion based on small perturbation model of a adaptive neuro-fuzzyinference system (ANFIS) based current source inverter fed synchronous motor (CSIFSM) drive system taking d-axisand q-axis damper winding into account using ANFIS model. The modeling also clearly shows that even at no load thesystem satisfies steady state stability analysis (SSSA) criterion. Using the concept of Park‘s transformation thearmature current in d-q model has been represented by suitable equations as a function of armature current magnitudein phase model (IS) and the field angle (β). As the system under consideration is basically a current source inverter fedsystem, IS has been considered as a constant and as a consequence the field angle (β) finally appears as a controlvariable. The modeling of the system has been done using adaptive neuro fuzzy inference system (ANFIS) byconsidering the input parameters; inductance (L) and inertia of the rotor (Jrotor) and output as steady state time. Theanalysis concludes that the absence of damper winding leads to instability of the machine system. This paper describesthe fuzzy modeling of CSI fed synchronous motor for studying its steady state stability analysis. The effect of windingparameters on the steady state performance of the synchronous motor is incorporated in this study. Fuzzy models weredeveloped using adaptive neuro-fuzzy inference system (ANFIS). It is observed that system Moment of Inertia (MI) hasa significant effect on optimal winding inductance to achieve steady state operation in shortest period of time. Thewinding leakage inductance should be reduced for achieving steady state operation in shortest time.
