Saturation compensation schemes for vector controlled induction motor drives

Levi, E.; Vukosavić, Slobodan N.; Vučković, Vladan

doi:10.1109/pesc.1990.131241

Cited by 32 publications

(16 citation statements)

References 12 publications

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“…This Section proposes direct MTPA vector control considering the non-linearity of the machine magnetising curve in order to avoid the abovementioned issues. Assuming an ideal rotor flux orientation in steady state, the qaxis component of the magnetizing flux is negligible and the d-axis rotor current is zero [29]. Hence,…”

Section: Nonlinear Mtpa Torque Control (Mtpas)mentioning

confidence: 99%

Maximum Torque-per-Amp Control for Traction IM Drives: Theory and Experimental Results

Bozhko

Dymko

Kovbasa

et al. 2017

IEEE Trans. on Ind. Applicat.

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-A novel maximum torque per Ampere (MTPA) controller for induction motor (IM) drives is presented. It is shown to be highly suited to applications that do not demand an extremely fast dynamic response, for example electric vehicle drives. The proposed MTPA field oriented controller guarantees asymptotic torque (speed) tracking of smooth reference trajectories and maximises the torque per Ampere ratio when the developed torque is constant or slow varying. An outputfeedback linearizing concept is employed for the design of torque and flux subsystems to compensate for the torque-dependent flux variations required to satisfy the MTPA condition. As a first step, a linear approximation of the IM magnetic system is considered. Then, based on a standard saturated IM model, the nonlinear static MTPA relationships for the rotor flux are derived as a function of the desired torque, and a modified torque-flux controller for the saturated machine is developed. The flux reference calculation method to achieve simultaneously an asymptotic field orientation, torque-flux decoupling and MTPA optimization in steady state is proposed. The method guarantees singularity-free operation and can be used as means to improve stator current transients. Experimental tests prove the accuracy of the control over a full torque range and show successful compensation of the magnetizing inductance variations caused by saturation. The proposed MTPA control algorithm also demonstrates a decoupling of the torque (speed) and flux dynamics to ensure asymptotic torque tracking. In addition, a higher torque per Ampere ratio is achieved together with an improved efficiency of electromechanical energy conversion.

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Section: Nonlinear Mtpa Torque Control (Mtpas)mentioning

confidence: 99%

Maximum Torque-per-Amp Control for Traction IM Drives: Theory and Experimental Results

Bozhko

Dymko

Kovbasa

et al. 2017

IEEE Trans. on Ind. Applicat.

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“…Impact of cross-saturation is not compensated either. Control system of Figure 4, however, provides full compensation of saturation in steady-state in the eld-weakening region in a drive with speed (position) sensor (Levi et al, 1990). As in a sensorless drive speed sensor does not exist, situation is quite diOE erent here.…”

Section: Odi Ed Indirect Vector Controllermentioning

confidence: 99%

“…The simplest solution (Levi et al, 1990) is used here and is illustrated in Figure 4. Rate of change of the rotor ux reference is neglected.…”

Section: Odi Ed Indirect Vector Controllermentioning

confidence: 99%

“…Such a situation arises when compensation of detuning due to main ux saturation and/ or iron loss is to be achieved. Model-based approach has been extensively used in the past to achieve main ux saturation compensation (Levi and Vuckovic, 1989;Levi et al, 1990;Levi and Vuckovic, 1993;Williamson and Healey, 1996;Levi and Sokola, 1997) and iron loss compensation (Levi, 1995;Levi et al, 1996) in vector-controlled drives that do posses a speed (position) sensor; however, so far very little eOE ort has been put into compensation of these phenomena by means of the model-based approach in sensorless vector-controlled induction motor drives, the exceptions being the works of (Levi et al, 1999;Blasco-Gimenez et al, 1996c). A modi ed rotor ux-based speed estimator of MRAC type that provides compensation of iron loss in conjunction with the modi ed indirect feedforward vector controller is introduced by (Levi et al, 1999), and its suitability is con rmed by steady-state analysis.…”

Section: Introductionmentioning

confidence: 99%

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Compensation of Parameter Variation Effects in Sensorless Indirect Vector Controlled Induction Machines Using Model-Based Approach

Levi¹

1999

Electric Machines & Power Systems

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The majority of speed estimation schemes for sensorless vector control of induction machines use a mathematical model of the machine in the estimation process. These schemes are therefore inherently sensitive to parameter variation eOE ects in the machine. The variety of speed estimation methods makes any attempt to develop a universal approach to compensation of parameter variation eOE ects impossible. This paper concentrates on one of the most frequently used schemes, in which speed is estimated using model reference adaptive control approach (MRAC) on the basis of two estimated values of the rotor ux space vector. The estimator is analyzed in conjunction with indirect feed-forward rotor ux-oriented induction machine. An attempt is made to improve the accuracy of the speed estimation by appropriate modi cation of the speed estimator and the indirect vector controller structures using modi ed induction motor models that account for one or more of the phenomena that are neglected in development of the basic constant parameter scheme. In particular, compensation of main ux saturation, compensation of iron loss, and simultaneous compensation of both the iron loss and main ux saturation are elaborated. Novel structures of the speed estimator are developed for each of the three cases and are applied in conjunction with the appropriate modi ed form of the indirect rotor ux-oriented controller. Excellent compensation capability is demonstrated in all the cases by performing extensive simulation studies.

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“…Our earlier work [9] and that of others [5], [10]- [12], have shown that adequate performance can be achieved with rotor-flux-based control by incorporating knowledge of the magnetic saturation into the control law. Unfortunately, this approach requires that substantial measurements be taken on the induction machine to determine the magnetic saturation characteristics.…”

mentioning

confidence: 99%

Stator-flux-based vector control of induction machines in magnetic saturation

Hofmann¹,

Sanders²,

Sullivan³

IAS '95. Conference Record of the 1995 IEEE Industry Applications Conference Thirtieth IAS Annual Meeting

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Abstract-In many variable-torque applications of induction machines, it is desirable to operate the machine at high flux levels, thus allowing the machine to produce higher torques. This can lead to saturation of the main flux path, introducing crosscoupling effects which can severely disrupt the performance of controllers dependent on knowledge of the machine's magnetic parameters. Stator-flux-oriented torque-control schemes need not depend on the magnetic parameters of the machine and, hence, are potentially more robust and easier to implement in magnetic saturation than rotor-flux-oriented control. In this paper, we present and analyze a stator-flux-oriented torque-control scheme. This controller only requires knowledge of the stator voltage, stator current, and stator resistance. An analytical expression for the maximum achievable torque output of the machine using a linear magnetics model is compared with values calculated using a nonlinear magnetics model incorporating saturation of the main flux path and is shown to be a good approximation at high flux levels, when the main flux path is heavily saturated. Experiments carried out on a 3-hp 1800-r/min wound-rotor induction machine show smooth operation of the control scheme at torque levels up to at least four times rated torque.

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Saturation compensation schemes for vector controlled induction motor drives

Cited by 32 publications

References 12 publications

Maximum Torque-per-Amp Control for Traction IM Drives: Theory and Experimental Results

Maximum Torque-per-Amp Control for Traction IM Drives: Theory and Experimental Results

Compensation of Parameter Variation Effects in Sensorless Indirect Vector Controlled Induction Machines Using Model-Based Approach

Stator-flux-based vector control of induction machines in magnetic saturation

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