A novel numerical method for accelerating the computation of the steady-state in induction machines

Bermúdez, Alfredo; Gómez, Dolores; Piñeiro, María de las Mercedes Paíno; Salgado, Pilar

doi:10.1016/j.camwa.2019.06.032

Cited by 10 publications

(9 citation statements)

References 14 publications

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“…The MPC is an online optimization control algorithm based on discrete mathematical models. Its principle is simple and it has the advantages of easy introduction of nonlinear constraints [21]. The torque reference value * in the MPDTC control system is generated by the speed deviation of the proportional integral (PI) regulator, and the stator flux reference value * is set to the rated value, and the flux observation value is determined by the stator rotor The flux linkage observer calculates, and the torque and flux linkage predictor predicts the torque and flux linkage prediction value, and then establishes the objective function through the deviation between the predicted value and the reference value, and finally selects the voltage vector that minimizes the objective function To control the induction motor.…”

Section: Proposed Modelmentioning

confidence: 99%

Squirrel cage induction motor predictive direct torque control based on multi-step delay compensation

Abbas

2021

IJAPE

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The squirrel cage induction motor direct torque control main problems due to torque and large stator flux pulsation. In this an improved model predictive direct torque control algorithm considering multi-step delay compensation is proposed. At each sampling moment, predict the stator flux linkage and torque at the next moment under each voltage vector. The optimal voltage vector deviation from the stator flux linkage reference value and torque reference value are selected as the minimum objective function. Aiming at the problem of one-shot delay in digital control systems, a multi-step predictive delay compensation measure is studied. Simulation shows that the algorithm can effectively reduce torque and stator flux pulsation, reduce current harmonic distortion, and solve the delay problem in digital systems.

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Section: Proposed Modelmentioning

confidence: 99%

Squirrel cage induction motor predictive direct torque control based on multi-step delay compensation

Abbas

2021

IJAPE

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“…where ω is the angular velocity of the rotor, I denotes the moment of inertia, and C is the friction coefficient, respectively. The torque T mag defines the mechanical excitation of system (5) given by the magnetic field. Note that there are several common special cases, i. e., a fixed rotor (θ = const) without movement and given rotor speed (synchronous or asynchronous).…”

Section: Induction Machine Modelmentioning

confidence: 99%

“…To this end, various approaches have been proposed for speeding up the transient simulation of electrical machines, e.g., the time-periodic explicit error correction method [3,4] or the extraction of a circuit model [5]. Also, two of the most well-known parallel-in-time methods, Parareal [6] and MGRIT [7], have been applied to eddy current problems.…”

mentioning

confidence: 99%

Parallel-in-time simulation of an electrical machine using MGRIT

Bolten

Friedhoff

Hahne

et al. 2020

Comput. Visual Sci.

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We apply the multigrid-reduction-in-time (MGRIT) algorithm to an eddy current simulation of a two-dimensional induction machine supplied by a pulse-width-modulation signal. To resolve the fast-switching excitations, small time steps are needed, such that parallelization in time becomes highly relevant for reducing the simulation time. The MGRIT algorithm is an iterative method that allows calculating multiple time steps simultaneously by using a time-grid hierarchy. It is particularly well suited for introducing time parallelism in the simulation of electrical machines using existing application codes, as MGRIT is a non-intrusive approach that essentially uses the same time integrator as a traditional time-stepping algorithm. However, the key difficulty when using time-stepping routines of existing application codes for the MGRIT algorithm is that the cost of the time integrator on coarse time grids must be less expensive than on the fine grid to allow for speedup over sequential time stepping on the fine grid. To overcome this difficulty, we consider reducing the costs of the coarse-level problems by adding spatial coarsening. We investigate effects of spatial coarsening on MGRIT convergence when applied to two numerical models of an induction machine, one with linear material laws and a full nonlinear model. Parallel results demonstrate significant speedup in the simulation time compared to sequential time stepping, even for moderate numbers of processors.

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“…Mohamed and Habbi [22] pointed out that in the full load interval, the polarity of the torque deviation is not always consistent. Bermúdez et al [23] proves through experiments that when different rotor time constants are deviated, the torque-current curves overlap in the light load region. Cao et al [24] uses the unified RASM theory to prove that the torque model does not satisfy the lyapunov stability condition when the load is small.…”

Section: Introductionmentioning

confidence: 99%

“…Abdalla et al [20] established a unified mathematical model of this type of identification system, revealing the internal connection between different identification models. Bermúdez et al [23] comprehensively compared several identification schemes from the perspectives of deviation sensitivity, convergence speed, parameter dependence, and pointed out that each scheme has its limitations; according to different applications, the optimal identification model can be selected. Rashag et al [21] pointed out through steadystate analysis that the rotor time constant identified by the torque model cannot converge to its true value under certain load conditions.…”

Section: Introductionmentioning

confidence: 99%

Three phase induction motor torque tracking algorithm based on the rotor time constant identification

Abbas

Saleh

Shakor

2022

IJEECS

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The indirect vector control system can realize the on-line identification of the rotor time constant based on electromagnetic torque. However, still effective range of the torque model is suitable only for heavy load conditions. In this paper, an improved torque tracking model is constructed by modifying the conventional torque model with rotor time constant identification. Through the establishment of the small signal model of the identification system, the stability of the torque model is deeply analyzed, and it is concluded that the torque model has two balance points, namely the expected balance point and the error balance point; the error balance point limits the scope of the torque model root cause. The simulation show that the problem of unbalance point can be avoided with the aid of the proposed algorithm. In addition, the design ideas of proportional-integral adaptive law parameters are given from the two perspectives of system stable operation and optimal convergence process.

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A novel numerical method for accelerating the computation of the steady-state in induction machines

Cited by 10 publications

References 14 publications

Squirrel cage induction motor predictive direct torque control based on multi-step delay compensation

Squirrel cage induction motor predictive direct torque control based on multi-step delay compensation

Parallel-in-time simulation of an electrical machine using MGRIT

Three phase induction motor torque tracking algorithm based on the rotor time constant identification

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