th The 5 Student Conference on Research and Development –SCOReD 2007 11-12 December 2007, Malaysia Study on Stability and Performances of DTC Due to Stator Resistance Variation Auzani Jidin, N.R.N. Idris, Senior Member, IEEE, A.H.M. Yatim, Senior Member, IEEE Abstract-- A stator-flux-based direct torque control (DTC) of induction machine has shown significant interests to researchers since its offer several advantageous compared to many other control schemes. This scheme requires only one parameter which is a stator resistance in order to estimate the stator flux-linkage, hence the electromagnetic torque can be directly calculated. In practice, a wide variation in stator resistance can occur due to a large temperature variation. Thus, the mismatch between estimated and actual stator resistances will deteriorate the performance of DTC by introducing errors in the stator flux estimation particularly at low speed. Consequently, the torque performance will be degraded. This paper presents the study on stability and performances of DTC due to stator resistance variation. The effect on DTC performances due to the stator resistance variation will be analytically studied with the help of simulation results. Index Terms-- Direct torque control (DTC), Hysterisis controller, Induction machines, Stator flux estimation, Stator resistance. I. INTRODUCTION H igh performance torque controlled induction machine drives can be achieved when the proper control scheme utilizes accurate estimated flux. In general, there are two methods for flux estimation. One is based on current-based method and the other is voltage-based method. In the current based method, the flux estimation can be made at any speed, including zero speed with the help of speed and current signals. Because of that, this model requires a speed encoder which is not suitable for some applications. Furthermore, the estimation accuracy is strongly affected by the variation of machine parameters, in which some of the parameters are difficult to compensate because of inaccessibility. Alternatively, the voltage-based method is mostly preferred since it only requires one parameter such that a stator resistance, Rs , and moreover the motor speed sensor is not required. Thus, this simple structure of flux estimation offers Auzani Jidin is with Department of Power Electronics and Drives, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Locked Bag 1200, Hang Tuah Jaya, Ayer Keroh 75450 Malacca. (e-mail: [email protected]). Nik Rumzi Nik Idris and Abdul Halim M. Yatim are with Department of Energy Conversion, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM, Johor. (email: [email protected]) 1-4244-1470-9/07/$25.00 ©2007 IEEE. less sensitivity to parameter variations. However, implementation of flux estimation that utilizes an integrator in this model is no easy task particularly at low speed operation. The major problems such that a dc drift and initial value problems can occur in a pure integrator with small offset in the measurement system utilized in estimating the flux [1][2]. The problems have been tackled using many strategies in order to improve the flux estimate so as to make the control scheme employed, able to operate for a wide speed range, as proposed in [3]-[5]. Instead of having the problems due to the inaccurate integration technique or improper sensor as mentioned above, other problem that has also shown significant interests to be solved, is errors introduced in flux estimation due to variation in stator resistance [6]-[13]. In real practice, a large extent in temperature variation can cause a wide variation in stator resistance changes in induction machine [6]. Consequently, it will deteriorate the performance of DTC by introducing errors in the stator flux estimation and also in the electromagnetic torque estimation particularly at low speeds. The sensitivity of the estimator to variation in stator resistance changes is extremely affected in low speed region wherein the stator resistance voltage drops become dominant as the stator voltages become very small. In this case, the adjustment of the estimated stator resistance to track a wide variation of actual stator resistance changes is mandatory for accurate flux and torque estimations. Numerous papers have been presented on tuning of stator resistance [6]-[13]. In general, the tuning of estimated stator resistance can be classified into two purposes. One is for the thermal monitoring purpose which is one of the fundamental protections required for induction motors [7]-[9], and the second one is for the flux estimation. Commonly, there are two approaches for estimating Rs , namely induction machine model-based Rs estimation [7],[8] and signal injection-based Rs estimation [9],[10],[13]. The approaches are widely been implemented for the purpose of flux estimation to obtain excellent drive performance. Ideally, the stator resistance estimation should be able to operate over the entire speed range and independent of the motor control method. For example, the stator resistance tuning has been proposed using hybrid flux estimation [13,][14]. The hybrid flux estimation utilizes a combined model which has smooth transition from the stator voltage to the rotor voltage based flux estimations from low speeds to high speeds, and vice versa. In [9],[10], the stator resistance is calculated by means of dc components of the voltage and current measurements. In Authorized licensed use limited to: UNIVERSITY TEKNOLOGI MALAYSIA. Downloaded on December 30, 2008 at 20:47 from IEEE Xplore. Restrictions apply. this method, a dc bias is injected on-line, into the stator supply voltage. Although these methods are capable of giving a more reliable in Rs estimation, the motor torque performance may be disturbed due to the injected signal on-line. It is also possible to synthesize the tuning of stator resistance using intelligent control technique. For instance, [11] proposed Fuzzy estimator which employs stator current phasor error to adjust the stator resistance. It has been shown that, among the other variables of the machine, the stator current is highly affected by the resistance changes. From that point of view, the PI adaptive control using stator current phasor error was presented in [6]. The stator current command was derived with stator flux and torque references as inputs. However, the derived stator current command does not consider other inputs such as load torque and operating frequencies, in case if the stator flux locus tends to become hexagonal shape at low speeds. In addition, the way to limit the speed is not mentioned and questionable. In this paper, the effect on stability and performances on DTC will be discussed with the help of simulations. As reported in [6], the instability occurs particularly when estimated Rs is greater than its actual value. However, the explanation about this matter is only limited to the mathematical analysis based on induction machine equations. This paper will present some analysis on performances of the drive control quantities (i.e stator current, torque, flux, stator voltage vectors) when a step stator resistance change is applied particularly at low speeds operation. The significance of the study, is to give more insight to the instability which occur when there is a mismatch in the stator resistance. . II. PRINCIPLE OF DIRECT TORQUE CONTROL The induction machine equations in terms of space vectors, written in a stator reference frame, are dψ s dt dψ r 0 = Rr i r + − j ω rψ r dt v s = Rs i s + structure wherein the torque and flux can be separately controlled using hysterisis comparators as shown in Fig. 1. The stator flux can be directly calculated from the stator voltage equation in the stator reference frame that ( = ³ (v ) )dt ψˆ sd = ³ v sd − Rˆ s isd dt ψˆ sq sq − Rˆ s isq (5a) (5b) where v sd ( i sd ) and v sq ( i sq ) are the respective d and q-axis of stator voltage (current) components. R̂s is the estimated stator resistance. Thus the magnitude of stator flux is calculated by ( 2 2 ψˆ s = ψˆ sd + ψˆ sq ) (6) and the stator flux angle, φ is calculated by § ψˆ sq © ψˆ sd φ = arctan¨¨ · ¸ ¸ ¹ (7) By considering that, ψˆ s = ψˆ s e jφ and i s = i s e jα , where α is the angle of the stator current with respect to the direct-axis of the stator reference frame, the torque can be calculated as written into the following form 3 p Tˆe = ψˆ s i s sin (α − φ ) 22 (8) where p is the number of pole and (α − φ ) is the angle between the stator flux linkage and stator current space vector. (1) (2) where ωr is the rotor angular speed in electrical radians and v s is the stator voltage space vector. i s and i r are the stator and rotor current space vectors, while Rs and Rr are the stator Te dTe * ψs dψ s * φ ψˆ e Tˆe and rotor resistances, respectively. ψ s and ψ r are the stator and rotor flux linkages, respectively and are given by ψ s = Ls i s + Lm i r (3) ψ r = Lr i r + Lm i s (4) where Ls and Lr are the stator and rotor self-inductance, respectively. Unlike in FOC, the DTC scheme offer simple control Fig. 1. Basic DTC In this scheme, the command values of flux, ψ s* and torque, Te* are compared to their respective estimated values. The errors are fed to a two level comparator, in the case of Authorized licensed use limited to: UNIVERSITY TEKNOLOGI MALAYSIA. Downloaded on December 30, 2008 at 20:47 from IEEE Xplore. Restrictions apply. flux, and a three level comparator in the case of torque. The flux comparator output is defined as IV III 010 * dψ s = 1 for ψˆ s ≤ ψ s − ∆ψ s (9a) 2 ∆ψ s * dψ s = 0 for ψˆ s ≥ ψ s + 2 100 001 010 (9b) V 101 110 011 101 (10a) (10b) 001 101 010 100 001 010 110 001 101 011 dTe = 0 for for counter-clockwise (CCW) rotation and 100 100 and torque comparator output as dTe = 1 for 110 011 110 011 001 Tˆe ≤ Te* − ∆Te Tˆe ≥ Te* 010 110 011 100 010 110 001 101 011 II 101 100 VI I Fig. 2. Six sectors of stator flux plane dTe = 0 for Tˆe ≥ Te* + ∆Te (11a) dTe = −1 for Tˆe ≤ Te* for clockwise rotation (CW). (11b) III. EFFECT OF STATOR RESISTANCE VARIATION ON STABILITY AND PERFORMANCES IN DTC The output of the comparators and the stator flux angle are used to index a look up table of optimum voltage vectors as proposed in [14], in order to determine the suitable voltage vectors, which is tabulated in Table 1. The sector of the stator flux as illustrated in Fig. 2 is divided into six sectors. Fig. 2, indicates that, the appropriate voltage vector (is taken from the table of optimum voltage vectors) should be chosen in a particular sector, either to increase stator flux or to decrease stator flux and either to increase torque or to reduce torque. The selection of voltage vector is made so as to restrict the errors of the stator flux and torque within their respective hysterisis bands. Consequently the fastest torque response and highest efficiency at every instant can be obtained [14]. TABLE I VOLTAGE VECTORS LOOK-UP TABLE dψ s 1 0 TABLE 2 INDUCTION MACHINE PARAMETERS Sector Counter clockwise In DTC, the accurate estimated stator flux is very important to achieve high performance of torque control. To obtain the high degree accuracy of the stator flux estimation, the stator resistance value, which is used in the controller, must match to its real value. The mismatch between the estimated stator resistance value and its actual value somehow can deteriorate the torque and flux control especially when the estimated stator resistance is higher than its actual value as reported in [6]. However, the explanations on how the unstable of the performance occurs were not discussed in details. This section will perform a study on the effect of the higher estimated stator resistance than its actual value on DTC. On the other hand, the discussion of the root cause of the instability, will also be presented. All the analysis will be performed through simulations using induction machine parameters as given in Table 2. dTs I II III IV V VI 1 0 -1 1 0 -1 110 111 101 010 000 001 010 000 100 011 111 101 011 111 110 001 000 100 001 000 010 101 111 110 101 111 011 100 000 010 100 000 001 110 111 011 Stator resistance, Rs Rotor resistance, Rr Stator self inductance, Ls Rotor self inductance, Lr Mutual inductance, Lm Combined inertia, J No. of pole, p Rated torque, Trated Rated stator flux, Ψs,rated 5.5 4.51 306.5 mH 306.5 mH 291.9 mH 0.0165 kg-m2 4 10 Nm 1.2 Wb For the sake of discussion, a mismatch between the estimated stator resistance and actual stator resistance is performed with a step actual stator resistance change from 100% to 75% of its nominal value at 2 s. A half of rated torque command is applied at 0.1 s and a rated stator flux command is kept constant. The motor is kept running at low speed which Authorized licensed use limited to: UNIVERSITY TEKNOLOGI MALAYSIA. Downloaded on December 30, 2008 at 20:47 from IEEE Xplore. Restrictions apply. is about 20 rad/s by adjusting the load torque to the appropriate value. From Fig. 3, it can be observed that, the system becomes unstable when estimated stator resistance is higher than its actual value. In general, the reason of the instability of the system is due to the opposite effects between the controller and the motor. Reference [6], reported that, the increased current due to lower actual stator resistance value, cause increased stator resistance voltage drops in the estimator resulting in lower flux linkages and electromagnetic torque estimations. The lower estimated flux linkage and electromagnetic torque result in larger errors when they are compared with their command values. As a result, the commanding larger voltage is selected to compensate the errors. In this case, the commanding larger voltage to compensate the errors as stated in [6], is cannot totally be acceptable. The next section will study the reasons of instability problems by examining the effects on flux, torque, stator voltage vectors and stator current due to a step stator resistance change with the aid of simulations. desired stator flux locus is the root on why the unstable condition occurred. It can be observed that in Fig. 4(b), particularly at the dotted line in sector 3, the actual stator flux start to deviate from the estimated stator flux, just after a step actual stator resistance change is applied at t=2 s. The divergence between the actual and estimated stator flux may be reasoned as follows. Firstly, let us study the change of the actual and estimated stator flux vectors in the particular sector as illustrated in Fig. 5. Using (1), the change of the ˆ s and actual stator flux vector, estimated stator flux vector, ∆Ψ ∆Ψs can be expressed as given in (12a) and (12b), respectively. ( = (V ) R ).∆T ˆ = V s ,k − I s Rˆ .∆T ∆Ψ s s ∆Ψs s ,k −Is (12a) (12b) s ψs t ≥ 2s Rs ψˆ s is t ≤ 2s ωe t ≥ 2s ωe Te ψˆ s = ψ s ψs ψs ψˆ s Tˆe ψˆ s (a) Fig. 4 Fig. 3 Instability due to parameter mismatch for a step stator resistance change Actual stator flux θ ≤ φ ≤ θ + 2π (b) ψs and estimated stator flux ψˆ s , for , (a) before stator resistance mismatch and (b) after stator resistance mismatch. where, I s is the stator current vector and ∆T is the time A. Effect on Stator Flux Using simulations, the actual and estimated stator flux locus before and after a step stator resistance change are carried out as depicted in Fig. 4. The figure shows the simulation results for one cycle of rotation of stator flux trajectories. The trajectories of estimated and actual stator flux are rotated in anticlockwise. The figure also depicts that the locus of the estimated and actual stator flux tends to become hexagonal shape because of the flux weakening at every sector transition. Note that, the locus of estimated and actual stator flux are deviated each other when estimated stator resistance is higher than actual stator resistance. The divergence of the actual stator flux locus from the interval for the same stator voltage vector V s ,k is to be applied either to increase or decrease the stator flux vector. In such case, to increase the stator flux an appropriate active voltage vector <010> is selected while to decrease the stator flux a zero voltage vector <000> is chosen. Note that, the step change of the actual stator resistance is set at t=2 s (in sector 3). From Fig. 5, the switching actions kept the increasing and decreasing of the estimated stator flux within its hysterisis band approximately. It can be considered that, the estimated stator flux is well regulated at the beginning, since the magnitude and phase errors of estimated stator flux can be neglected; hence no incorrect voltage vector is selected. Taking into account the fact that, the switching is strongly affected by the torque regulation. Therefore, the larger commanding voltage vector to compensate the sudden larger Authorized licensed use limited to: UNIVERSITY TEKNOLOGI MALAYSIA. Downloaded on December 30, 2008 at 20:47 from IEEE Xplore. Restrictions apply. errors in the estimated flux and torque as stated in [6], is questionable. It can be observed that the divergence of the actual stator flux from estimated stator flux is mainly caused by the difference between the actual and estimated stator flux change vectors. As given in (12), the reduction of estimated stator flux vector during the application of zero vectors is significantly higher than that of the actual stator flux vector. Note that, the ohmic drop in (12a) is greater than that in (12b) when the same zero voltage vector <000> is applied to decrease these stator flux vectors. While the increasing of the actual and estimated stator flux vectors are almost similar since the ohmic drops in both (12a) and (12b) for the same applied active voltage vector <010> become less significant. In this case, the higher change of stator flux vector means the higher change of stator flux magnitude and hence a steeper slope of the stator flux vector. B. Effect on Torque Based on (8), the accurate of stator flux estimation is mandatory in estimating the torque. The accurate estimated torque is so important for high performance and proper control in DTC since the switching action is strongly affected by the torque controller. From Fig. 6, the error of estimated torque is restricted within its hysterisis band since the estimated stator flux is considered well-regulated in this particular sector. However, the actual torque deviates from its hysterisis bands since it is strongly influenced by the actual stator flux. Fig. 5 Effect of estimated and actual stator flux magnitude due to parameter mismatch for a step stator resistance change. transition between sectors. Fig. 8, indicates that the magnitude of the actual stator flux and stator current are steeply decreased due to the incorrect voltage vector <001> is selected in sector 3 of the actual stator flux. Suppose that, the voltage vector <111> or <011> is selected during flux weakening at this particular sector transition. In practice, the stator resistance does not change in a step manner. A linearly increasing estimated stator resistance is simulated and the performance is shown in Fig. 9. Even for such a gradual change of stator resistance, note that the system becomes unstable. The reason of the instability is similar as mentioned for a step stator resistance change. IV. CONCLUSION This paper has discussed on the effects of the mismatch values between actual stator resistance and estimated stator resistance on the performance of DTC. A step change in actual stator resistance is used to show how the instability of the system occurred. The simulation results are used to study the performances of the drive system particularly at low speed in which the stator flux is weaken at every sector transition. This study reveals that, the mismatch in the stator resistances result in divergence on the actual from the estimated flux, consequently introduced phase and magnitude errors. These errors lead to the incorrect voltage vector is selected especially at every transition between sectors. Fig. 6 Effect of estimated and actual torque due to parameter mismatch for a step stator resistance change C. Effect on Voltage Vector Selection To study the effect on voltage vector selection, let us examine together with the effect on the stator current and stator flux, at the first transition between sectors after a step stator resistance change is applied. From Fig. 7, it can be seen that the actual and estimated sectors are different at the Authorized licensed use limited to: UNIVERSITY TEKNOLOGI MALAYSIA. Downloaded on December 30, 2008 at 20:47 from IEEE Xplore. Restrictions apply. V. REFERENCES [1] [2] [3] [4] [5] Fig. 7 Effect to the voltage vector selection at sector transition. (a) Actual and estimated sector, (b) switching of phase A, (b) switching of phase B, (c) switching of phase C. [6] [7] [8] [9] [10] [11] [12] Fig. 8 Effect to the stator current, actual and estimated stator fluxes corresponds to the incorrect voltage vector selection as shown in Fig. 7. Rs [13] [14] J. Hu and B. Wu, “New integration algorithms for estimating motor flux over a wide speed range,” in Proc. IEEE PESC Rec., 1997, pp. 1075– 1081. Bird, I.G.; Zelaya de La Parra, H., "Practical evaluation of two stator flux estimation techniques for high performance direct torque control," Power Electronics and Variable Speed Drives, 1996. Sixth International Conference on (Conf. Publ. No. 429), Vol., Iss., 23-25 pp. 465- 470, Sept. 1996 K.D Hurst, T.G. Habetler, G. Grive, F. Profumo, "zero speed tacholess IM torque control: simply a matter of stator voltage integration", IEEE Trans Ind. Appl., Vol 34, No. 4, 1998, pp. 790-795. B. K. Bose and N. R. Patel, “A programmable cascaded low-pass filterbased flux synthesis for a stator flux-oriented vector-controlled induction motor drive,” IEEE Trans. Ind. Electron., vol. 44, no. 1, pp. 140–143, Feb. 1997. N.R.N. Idris and A.H.M Yatim, “An improved stator flux estimation in steady state operation for direct torque control of induction machines,” in Conference Record of the IEEE Industrial Applications Conference, Rome, Italy, 8-12 Oct. 2000, vol.3 pp. 1353-1359. B. S. Lee, R. Krishnan, “Adaptive stator resistance compensator for high performance direct torque controlled induction motor drives,” Conf. Record of IEEE-Industry Applications Society Annual Meeting, pp. 423-430, Oct. 1998. Sang-Bin Lee Habetler, T.G. Harley, R.G. Gritter, D.J. "An evaluation of model-based stator resistance estimation for induction motor stator winding temperature monitoring," IEEE Transactions on energy conversion, Vol. 17, No. 1, pp. 7-15, March 2002 R. Beguanne and M. E. H.Benbouzid, “Induction motors thermal monitoring by means of rotor resistance identification,” IEEE Trans. Energy Conv., vol. 14, pp. 566-570, Sept. 1999. D. A. Paice, “Motor thermal protection by continuous monitoring of winding resistance,” IEEE Trans. Ind. Electron. Instr., vol. IECI-27, pp. 137-141, Aug. 1980. L. A. S.Ribeiro, C. B.Jacobina, and A. M. N.Lima, “Linear parameter estimation for induction machines considering the operating conditions,” IEEE Trans. Power Electron., vol. 14, pp. 62-73, Jan. 1999. S. Mir, M. E. Elbuluk, and D. S. Zinger, “PI and fuzzy estimators for tuning the stator resistance in direct torque control of induction machines,” IEEE Trans. On Power Electronics, Vol. 13, No.2, pp.279287, March 1998. Bose, B. K. and Patel, N.R. (1998). "Quasi-fuzzy estimation of stator resistance of induction motor," IEEE Trans. Power Electronics, Vol. 13, No. 3, pp. 401-409. T. G. Habetler, F. Profumo, G. Griva, M. Pastorelli, and A. Bettini, “Stator resistance tuning in a stator flux field oriented drive using an instantaneous hybrid flux estimator,” Conf. Record, EPE Conf., Brighton, UK, V01.4, pp.292-299, 1993. Takahashi and T. Noguchi, “A new quick-response and high efficiency control strategy of an induction machine”, IEEE Trans. Ind. Applicat. 22, 820–827 (1986). is Te ψs Tˆe ψˆ s Figure 9 Instability due to parameter mismatch for a linear stator resistance change Authorized licensed use limited to: UNIVERSITY TEKNOLOGI MALAYSIA. Downloaded on December 30, 2008 at 20:47 from IEEE Xplore. Restrictions apply.
© Copyright 2026 Paperzz