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Wysłany: Pon 2:06, 06 Gru 2010 Temat postu: true religion jeans AC induction motor direct torq |
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AC induction motor direct torque control system design of a new
7) holds; when s O, K> T 』then (7) is also established. So when the meet C> O, K> T, the (7) be set up, sliding surface must exist. 3 Guo Tao, et al: Induction motor direct torque control system of a new design. 91.4 Model Reference Adaptive Speed Identification of a l: l =: l-R is called r / Lr a _r,[link widoczny dla zalogowanych], ll: l + L ・ R, / L, l:: lc8 available under the parallel adjustable model reference model such as (9) follows: I iv where: d - q for the stationary coordinate system, called the adjustable model, only the speed and the need to identify the rotor resistance R, and other parameters L, L, can be approximately e-Cr a, ( 1O) where: w-I: Ic is called, a,; A,: I a / Lr-L,[link widoczny dla zalogowanych], I; e-ll-l: b l system block diagram (see Figure 4). Figure: B one. A I:: a I; I am easy to prove, prior to the passage of the transfer function H (s) is strictly positive real matrix, select the appropriate parameter adaptive law so that the reverse channel to meet the Popov integral inequality r / (O, ?) lVWdt ≥ a steady line of nonlinear time-varying channel channel Figure 4 rotor flux equation based on the speed identification system block diagram of the parameter adaptive law proportional integral adaptive law is taken into the Popov inequality on behalf of, you can get the speed induction motor speed and rotor resistance identification system identification method, speed and rotor resistance adaptive law as follows: rf called a lKz (Pg,[link widoczny dla zalogowanych], d a, g) dr + Kpz (Pgd a, g) + oJ (O) (12) JurR, a L, lKed ( Li a,) + P. (Li. A.,)] Dr + \know the amount, in fact, it is an unknown quantity, but also need to estimate. in our system to voltage model to estimate the rotor flux. rotor flux is estimated following the expression: rCr one by one Li (14) L where: the system can be flux observer to obtain, at the specified (15). * 92 * 15 Naval University of Engineering Systems Volume 5, torque and flux observer for direct torque control system, with the state reconstruction methods in their observation of the motor flux and torque. a simple flux observer is the motor stator voltage equation. obtained through an integral component of the magnetic flux of the-q axis. rf == I (out of an R) dt + (O) ~ (15) = = l (a R) d ? + (o) Ju,[link widoczny dla zalogowanych], therefore, the stator flux is: a ~ / side + (16) flux angle is: mouth of a arctan (~. / Yi) (17) torque: 0T a tone (11 a 11) (1 6 Conclusion In this paper, a AC induction motor direct torque control system of the new design. This design has the following advantages: (1) The state selector neural network to overcome comparator with hysteresis caused by the impact of tolerance on the system. (2) instead of the traditional sliding mode controller with a PI speed controller, full use of the sliding structure on the system parameters have not sensitive to the characteristics and good dynamic and static properties, to overcome the result of nonlinear, multivariable, strong coupling and parameters on the system. (3) Adaptive speed identification method using parameter model, the closed-loop control of the system simpler, more reliable, overcome the rate of detection of environmental change on the impact of the hardware and reducing system costs. Therefore, this design allows the system has excellent dynamic and static characteristics. References: [-13 Li Su. asynchronous motor direct torque control [ ,],[26. [-33 Qiong Yao Hui, Mr Wong, the Wuhan Song. variable structure control system [M]. Chongqing: Chongqing University Press, 1997. [-43 Su Yanmin, Li. AC Speed Control System [M]. Beijing : Mechanical Industry Press ,1998.1-s] Xia Chaoying. Adaptive control of DC drive system [M]. Beijing: China Machine Press ,1998.1-63 Ji Zhi Yan AND APPLIED Secretary Paul, et al. speed sensor induction motor direct torque control system of lj]. Electrotechnical Society, 1997,12 (4) :16-17. [-73 Zhang Naiyao, with the ordinary. Neural Networks and Fuzzy Control [M]. Beijing: Tsinghua University Publishing Press,[link widoczny dla zalogowanych], 1998.
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