2005
Adaptive control for speed-sensorless induction motors with uncertain load torque and rotor resistance
Abstract: The problem of controlling a speed-sensorless induction motor is addressed. Smooth reference signals for rotor speed and flux modulus are required to be tracked for any unknown constant values of load torque and rotor resistance within known bounds. A fourth order non-linear adaptive tracking control is presented which is based on a novel rotor speed observer and on two identifiers for the uncertain parameters; it guarantees asymptotic rotor speed tracking and exponential rotor flux modulus tracking with an ex…
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Cited by 44 publications
(16 citation statements)
References 28 publications
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“…In this plot, it can be seen that w overlaps w after 0.2 s until t * . In t * , the abrupt value change of τ L is introduced, as defined in (16). Consequently, information is lost and w stops overlapping w during 0.25 s. Note that the SDRE observer in ( 12) and ( 14) can recover the estimated angular velocity w in a very short period.…”
Section: Numerical Simulationsmentioning
confidence: 99%
“…In this plot, it can be seen that w overlaps w after 0.2 s until t * . In t * , the abrupt value change of τ L is introduced, as defined in (16). Consequently, information is lost and w stops overlapping w during 0.25 s. Note that the SDRE observer in ( 12) and ( 14) can recover the estimated angular velocity w in a very short period.…”
Section: Numerical Simulationsmentioning
confidence: 99%
“…Nonetheless, these approaches are different from the solution proposed in this paper. Typically, the load torque in certain instances may be unknown, as pointed out in [16]. Estimation of such perturbed variables has been investigated in several research papers; for instance, see [1,[16][17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…By virtue of a straightforward modification of the Persistency of Excitation Lemma A.1 in [22], we can establish that if there exist two positive reals t p and k p such that the…”
Section: Observer Design and Stability Analysismentioning
confidence: 99%
“…the non-zero elements are a 12 = −b 24 = − k /2 * , a13 = −b 34 = ( /2 * )(T Ln /J + sat(ˆ )/J +˙ * ), a 23 = −a 35 = −b 23 = b 35 = k /2 , a 24 = /2, a 28 = − a 37 = b 37 = /2, a 34 = /2, b 57 = − ( /2 * )(T Ln /J + sat(ˆ )/J +˙ * ), b 58 =− k /2 * , b 67 =−b 37 +( / )b 57 −(M−L r L s /M)b 35 , b 68 =( / )b 58 ), c l = min{ 1 , 2 , 3 } +˙ * / * , c d = (1/2c l )[m p n q + (m p m s / )((2z M + + za ) 2 + (2z M + + zb ) 2 ) 1/2 + m p m q r 2 1 / n q = sup t 0 {|w d (t)|/J * (t)}, m s = sup t 0 { S(t) }, S = [s i j ] 1 i 3,1 j 2(the non-zero elements are s 11 = − * / * 2 , s 12 = / * 2 , s 21 = − (1/ * 2 )(T Ln /J + sat(ˆ )/J +˙ * ), s 22 = ( / * )( * /M +˙ * / M)), m p = P , n p = P −1 , P −1 =[ p i j ] 1 i, j 3 , p 11 = p 12 = p 13 = 1, …”
mentioning
confidence: 99%
