عنوان مقاله
شناسایی پارامتر موتور القایی از طریق داده های عملیاتی
فهرست مطالب
مقدمه
تابع انتقال موتور القایی
معادله جبری
نتایج شبیه سازی
نتایج آزمایش
بحث
بخشی از مقاله
تابع انتقال موتور القایی
نمودار بلوکی برهم کنش بین شبکه نیرو و بار یک موتور القایی در شکل 1 نشان داده شده است. W1 نویز سفید در بسامد یا ولتاژ شبکه نیرو و W2 نویز سفید P یا Q موتور القایی می باشد. این دو متغیر اختلال شبکه نیرو و بار را نشان می دهند. علامت X تغییرات ولتاژ (v) یا بسامد (f)/زاویه (𝜔) در شبکه نیرو و Y تغییرات نیروو توان واکنشی (Q) یا حقیقی (P) بار موتور القایی را نشان می دهد
کلمات کلیدی:
INDUCTION MOTOR PARAMETER IDENTIFICATION FROM OPERATIONAL DATA Tania Parveen Prof.Gerard Ledwich& Dr. Ed. Palmer Queensland University of Technology Queensland University of Technology 2 George street 2 George Street Garden point Gardens Point Brisbane Brisbane t.parveen@student.qut.edu.au g.ledwich@qut.edu.au Ph: (+61 7) 3138 1380 Ph: (+61 7) 3138 2864 Abstract Among the parameters of an induction motor, the dynamics are largely characterised by Inertia (H) and torque-damping factor (B). It is now simple to get substation bus bar data (current and voltage) by using phasor measurement device. This paper uses that data to identify an induction motor model in frequency domain and from the model of the induction motor one can estimate B and H. In this paper estimation of parameter B and H from the frequency domain model of an induction motor is shown for a fan load by using simulation model and also a 1.5kW real motor in a Queensland University of Technology (QUT) laboratory. 1. Introduction Induction motors undergo transients when voltage, current and speed vary therefore it is important to understand dynamic characteristic of the motor for their influence on power system dynamics. Inertia and torque damping factor are the key influential parameters for the dynamic nature of induction motor. Hence in this paper the value of B and H are estimated from the Bode plot of an induction motor transfer function aiming to study their influence to power system and vice-versa. This frequency domain model is obtained using correlation techniques. Papers [1-20] estimate induction motor modelling and parameters without considering the major effect that load change influence the power system as well power system change effect the load . The authors of those papers have used a feed forward model (power system affects load) but in this paper the feedback loop ( where load is effecting the power system) in addition to the nomal feed forward element is being considered. Paper [2] has considered feedback loop and estimated transfer function of the power system not the transfer function of load. In that paper [2] the author mentioned that it is important to identify the more significant load. Approximately 50-60% of electric energy is consumed by induction motors in a power system therefore the induction motor is a significant load and this paper is interested in the dynamic characteristic of the induction motor. Papers [1-23] consider the changes of the power system as measurement noise but in this paper the change of power system and change of load are considered as major information to developed the model of the induction motor and the theory for identification of a system under feedback with multiple noise is already developed in paper [23] which is used in this paper.
