Torque control of switched reluctance drive in generating mode

Bychkov, Mikhail; Fedorenko, Artem; Krasovsky, Alexander; Gorbunova, E. E.

doi:10.1109/iwed.2018.8321390

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…The general principle of simulation models the creation of SRM and its feature explicitly described in [19,20]. The use of Miller's curves in models is the rarest in the literature, so we will pay more attention to this in this article.…”

Section: Description Of the Simulation Modelmentioning

confidence: 99%

“…To control of the SRM in the braking mode in each commutation cycle, it is necessary to generate control actions that are "inverse" to the motor mode [18][19]. For example, if the state of the upper switched element in Figure 6(c) changes when the lower switched element is constantly turned on in the motor mode, then it will be necessary to change the state of either the upper or the lower switched element with the constantly closed opposite switched element in the braking mode.…”

Section: Features Ditc Of Srm In Breaking Modementioning

confidence: 99%

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Simulation and analysis of improved direct torque control of switched reluctance machine

Krasovsky

2020

IJEECS

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<span>Direct torque control of electric machines widely used in modern electric drives. Switched reluctance machines (SRM) are different from traditional electric machines, so we cannot apply well-known technical solutions to them. Simulation can provide a powerful approach for investigating the control of switched reluctance machines, and Matlab / Simulink allows it successfully implemented. This paper presents a description of the model and the simulation results of the proposed new algorithms for direct control of the instantaneous torque of SRM in the motor and braking modes. In comparison with the known control algorithms, the proposed algorithm uses one common for all phases relay regulator with a smaller number of switching thresholds and, therefore, it has greater reliability and is easier to set up. </span>

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Section: Description Of the Simulation Modelmentioning

confidence: 99%

Section: Features Ditc Of Srm In Breaking Modementioning

confidence: 99%

Simulation and analysis of improved direct torque control of switched reluctance machine

Krasovsky

2020

IJEECS

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“…Consequently, when controlling an SRM, it is crucial to consider the impact of nonlinearities in the motor's kinetics, arising from the simultaneous excitation of stator phases [8]. Addressing this issue poses a key challenge that needs to be resolved [9]. Several studies have proposed mathematical models for SRMs and control strategies for switched reluctance motor drive systems based on these models [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Speed Control of Switched Reluctance Motor using Adaptive Fuzzy Backstepping Sliding Mode Control

Phi Hoang,

Pham Van

2024

Int. j. electr. comput. eng. syst. (Online)

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The Switched Reluctance Motors (SRMs), with many outstanding advantages, are gradually being widely applied in industries, households, and recommended in many works. However, most studies in the field of SRM control only concentrate on the mathematical model of the motor itself, neglecting the nonlinearity introduced by the inverter, which is responsible for switching between phases to drive the motor. This paper proposes an adaptive backstepping sliding mode control algorithm based on the SRM nonlinear model that combines both the motor and the inverter. Firstly, a backstepping sliding mode controller is used to track the desired value and ensure the stability of the system according to the Lyapunov criterion. Secondly, a fuzzy logic system is added to adjust the controller parameters to account for uncertainty and external disturbance, as well as to minimize the chattering phenomenon. Finally, a few simulation scenarios are performed to assess the effectiveness of the proposed controller. The simulation results clearly demonstrate that the proposed controller surpasses the previously published H infinity controller in terms of speed control quality for the combined nonlinear model of SRM. The proposed controller exhibits zero steady-state error, zero overshoot, and a short settling time of approximately 0.5 seconds. Moreover, the system's output quickly stabilizes when affected by disturbance noise.

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“…Actually such motors are less costly, less prone to failure and more convenient to install and maintain than Permanent Magnet motors [27][28][29][30][31]. However, it should not be overlooked that due to the nonlinearities in SRMs electric dynamics induced by the simultaneous activation of several stator phases, the control of these motors remains an open and challenging problem [32][33][34][35][36]. It is remarkable, that despite the raise of research production on this topic few new results have been given on globally stable control methods [37][38][39].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear H-infinity control for switched reluctance machines

Rigatos

Siano

Ademi

2019

Nonlinear Engineering

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The article proposes a nonlinear H-infinity control method for switched reluctance machines. The dynamic model of the switched reluctance machine undergoes approximate linearization round local operating points which are redefined at each iteration of the control algorithm. These temporary equilibria consist of the last value of the reluctance machine’s state vector and of the last value of the control signal that was exerted on it. For the approximate linearization of the reluctance machine’s dynamics, Taylor series expansion is performed through the computation of the associated Jacobian matrices. The modelling errors are compensated by the robustness of the control algorithm. Next, for the linearized equivalent model of the reluctance machine an H-infinity feedback controller is designed. This requires the solution of an algebraic Riccati equation at each time-step of the control method. It is shown that the control scheme achieves H-infinity tracking performance, which implies maximum robustness to modelling errors and external perturbations. The stability of the control loop is proven through Lyapunov analysis.

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Torque control of switched reluctance drive in generating mode

Cited by 5 publications

References 8 publications

Simulation and analysis of improved direct torque control of switched reluctance machine

Simulation and analysis of improved direct torque control of switched reluctance machine

Speed Control of Switched Reluctance Motor using Adaptive Fuzzy Backstepping Sliding Mode Control

Nonlinear H-infinity control for switched reluctance machines

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