Asenkron motorun“kayan kip”kontrolü
Başlık çevirisi mevcut değil.
- Tez No: 75563
- Danışmanlar: PROF. DR. R. NEJAT TUNCAY
- Tez Türü: Yüksek Lisans
- Konular: Elektrik ve Elektronik Mühendisliği, Electrical and Electronics Engineering
- Anahtar Kelimeler: Asenkron motorlar, Hız denetimi, Kayan kipli denetim, Induction motors, Speed control, Sliding mode control
- Yıl: 1998
- Dil: Türkçe
- Üniversite: İstanbul Teknik Üniversitesi
- Enstitü: Fen Bilimleri Enstitüsü
- Ana Bilim Dalı: Elektrik Mühendisliği Ana Bilim Dalı
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: Belirtilmemiş.
Özet
ÖZET Asenkron motor dinamiği incelenerek, kayan kip kontrol yöntemi için MATLAB ortamında kontrol programı oluşturulmuştur. SIMULINK simülasyon tekniği kullanılarak, kayan kip kontrol yöntemi asenkron motora uygulanmıştır. Simülasyon modelleri ve sonuçları 'Bölüm 6' da verilmiştir.
Özet (Çeviri)
SUMMARY Sliding Mode Control of Induction Machine Equations of motion of the systems are nonlinear due to the complexitiy of the system's dynamics. Various techniques have been suggested for the design of controller. The control theory of variable structure systems (VSC) can be used on the converter and the induction machine together to develop a control strategy that can deal with switching converter and motor nonlinearities. The application of sliding mode control to the induction machine and its simulation results in MATLAB and SIMULINK are presented. Dynamic Model of Induction Machine The dynamic performance of an induction machine is complex because of the coupling effect between the stator and rotor phases, where the coupling coefficients vary with rotor position. Therefore, the machine model can be described by differential equations with time-varying coefficients. The dynamic model of a machine can be expressed in either a stationary or a rotating reference frame. In a stationary frame, the reference a and |3 axes are fixed on the stator, where as in a rotating reference frame these are rotating. The rotating frame may either be be fixed on the rotor or move at synchronous speed. The advantage in a synchronously rotating frame model is that with sinusoidal supply the variables appear as dc quantities in steady-state conditions. XIRotor and stator equations can be given as follows, V9d=R6isd-co8M/8<I+-^1 (s.l) V,=Ra,+o.V-+^- (s.2) 0 = ^-0^ +^*“ (8-3) d\|/ra 0 = RIitd+oIvt/Id+-^3- (s.4) Flux and current equations can be expressed as, Vsd=Lsisd+Liniri (s.5) ¥8q=Lsisq+Lmiiq (s.6) Vrt = Ltirf+L«i- (s-7) Vn, = Lri”1+Lmisq (s.8) And torque can be shown as, do Te = p-Lm(isqird-irqis<1) = j- + pto (s.9) de des do, - = © ; -t^ = cûs ; -r- = o. (s.10) dt dt 8 dt v ' xn(Ds=(ör+p(û (s. 11) The model of electrical dynamics in terms of voltages currents can be given in matrix form as, -co. R,Lffi RrLm °LsLr2 p © aL5 0 RrLm -p-Q <*LSL, RtLffi v“ 'sq (s.12) Control Strategy of Induction Machine Aim is to determine voltages, which will be applied to the induction machine, by selecting the switches of the converter, where ad and oq are equal to zero. In the inner loop, control surfaces can be selected as, o”d=isd -1* <*,=*«, -i. (8.13) (s.14) Here, iSdr=fd(vrir5Vri) (8.15) V^qfa.»®..) (s.16) xrnWith the help of Table 4.1 and Table 4.2 switch coordinates can be marked in 0$ coordinate. Figure s.l a|3 coordinates of the switches Control program for the induction machine, which is given in 'Appendix B', can be written. State Observers In the design of control systems, it is assumed that all state variables are available for feedback. In practice, however, not all state variables are available for feedback. Then it is needed to estimate unavailable state variables. Estimation of immeasurable state variables is commonly called observation. A device (or a computer program) that estimates or observes the state variables is called a state observer, or simply an observer. If the state observer observes all state variables of the system, regardless of whether some state variables are available for direct measurement, is called & full-order state observer. There are times when this will not be necessary, when we will need observation of only unmeasurable state variables but not of those that are directly measurable as well. For example, since the output variables are observable and they are linearly related to the state variables, we need not observe all state variables, but observe only n-m state variables, where n is the dimension of the state vector and m is the dimension of the output vector. The state observer that observes only the minimum number of state variables is called a minimum-order state observer. Consider that the system defined by x = Ax + Bu (s.17) XIVy = Cx (s. 18) Assume that the state x is to be approximated by the state x of the dynamic model $ = Ax + Bu + Ke; (s.19) e;=y-y (s.20) which represents the state observer. Notice that the state observer has y and u as inputs and x as output. The last term on the right side of the model equation is a correction term that involves the difference between the measured output y and the estimated output y. Matrix K serves as a weighting matrix. The correction term monitors the state x. In the presence of discrepancies between A and B matrices used in the model and those of the actual system, the addition of the correction term will help reduce the effects due to the difference between the dynamic model. Observer program, which is used in simulation, is given in 'Appendix C. Simulation Results Simulation models and results are given in 'Section 6'. xv
Benzer Tezler
- Asenkron motorun vektör kontrolü ve dayanıklı akı gözlemleyici tasarımı
Vector control of asynchronous motor and robust flux observer design
MEHMET DAL
Doktora
Türkçe
2001
Elektrik ve Elektronik MühendisliğiKocaeli ÜniversitesiElektrik Eğitimi Ana Bilim Dalı
DOÇ. DR. BEKİR ÇAKIR
- Alan yönlendirmeli asenkron motorun düşük hızlarda kontrol performansının artırılması
Improvement of the control performance of field oriented induction motor and low speeds
NURHAN OZAN
Yüksek Lisans
Türkçe
1997
Elektrik ve Elektronik MühendisliğiFırat ÜniversitesiElektrik-Elektronik Mühendisliği Ana Bilim Dalı
YRD. DOÇ. DR. ERHAN AKIN
- Asenkron motorun DSP (sayısal işaret işleyici) tabanlı bir kontrol sistemi kullanılarak YSA (yapay sinir ağları) ile performansının arttırılması
The Performance increasing on the induction motor with ann (artifical neural networks) by using a DSP (digital signal processor) based control system
KAYHAN GÜLEZ
Doktora
Türkçe
1999
Elektrik ve Elektronik MühendisliğiYıldız Teknik ÜniversitesiElektrik Mühendisliği Ana Bilim Dalı
PROF. DR. HALİT PASTACI
- Asenkron motorların frekans değiştiricilerle hız kontrolü
The Speed control of induction motors with frequency converter
NAZMİ KAYA
Yüksek Lisans
Türkçe
2000
Elektrik ve Elektronik MühendisliğiMarmara ÜniversitesiElektrik Eğitimi Ana Bilim Dalı
YRD. DOÇ. DR. İSMAİL TEMİZ