Nonlinear model predictive torque control and setpoint computation of induction machines for high performance applications

Englert, Tobias; Graichen, Knut

doi:10.1016/j.conengprac.2020.104415

Cited by 27 publications

(14 citation statements)

References 21 publications

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“…In order to implement the predictive current control, the machine model should be discretized. Using forward euler discretization (13), it is possible to predict state values of the next sample based on the values of the current sample. Since the α − β-component values of the stator current are of interest, only first two rows of the state and input matrix will be considered.…”

Section: Deriving the Control Algorithm For The Inner Control Loopmentioning

confidence: 99%

See 1 more Smart Citation

Continuous Control Set Predictive Current Control for Induction Machine

et al. 2021

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A speed tracking control method for induction machine is shown in this paper. The method consists of outer speed control loop and inner current control loop. Model predictive current control method without the need for calculation of the weighing factors is utilized for the inner control loop, which generates a continuous set of voltage reference values that can be modulated and applied by the inverter to the induction machine. Interesting parallels are drawn between the developed method and state feedback principles that helped with the analysis of the stability and controllability. Simple speed and rotor flux estimator is implemented that helps achieve sensorless control. Simulation is conducted and the method shows great performance for speed tracking in a steady state, and during transients as well. Additionally, compared to the finite control set predictive current control, it shows less harmonic content in the generated torque on the rotor shaft.

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Section: Deriving the Control Algorithm For The Inner Control Loopmentioning

confidence: 99%

“…A lot of papers emerged with the attempts to improve upon the existing induction machine MPC methods. Authors Englert et al developed a method for optimal setpoint calculation for the PTC in [13]. It is known that in PTC, a weighing factor must exist in the cost function in order to penalize torque and flux errors.…”

Section: Introductionmentioning

confidence: 99%

Continuous Control Set Predictive Current Control for Induction Machine

et al. 2021

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“…It can be seen from ( 9) and ( 11) that the predicted values of flux linkage and current are predicted by the current ( ) and voltage ( ) measured at the current moment and the observed flux linkage ̂( ) Yes, but due to the one-beat delay in the digital control system [9], [10], the selected voltage vector will not be updated until the next moment. Therefore, the current stator current and stator flux linkage have become ( + 1) and ̂( + 1) respectively.…”

Section: Multi-step Delay Compensationmentioning

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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“…Among many identification algorithms, the identification algorithm based on RASM is favored by people because of 1321 its easy implementation and good stability [1]. Many algorithms has different implementation forms depending on the selected physical quantity, such as q-axis rotor flux model [16], [17], d-axis stator voltage model [18], [19], reactive power model [1], [5], [20], [21], electromagnetic torque model [22]- [25].…”

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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Nonlinear model predictive torque control and setpoint computation of induction machines for high performance applications

Cited by 27 publications

References 21 publications

Continuous Control Set Predictive Current Control for Induction Machine

Continuous Control Set Predictive Current Control for Induction Machine

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

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

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