Direct Torque Control of a Small Wind Turbine with a Sliding-Mode Speed Controller

In this article, a novel sliding mode adaptation mechanism of a model reference adaptive system speed estimator and a modified sliding mode speed controller are proposed to replace the proportional-integral controller used in the adaptation mechanism of the model reference adaptive system and the proportional-integral speed controller, respectively. The suggested control strategy is designed by sensorless direct torque control with space vector modulation based on a sliding mode speed controller and a model reference adaptive system sliding mode speed estimator. The contribution of this work is the development of one control law based on a modified nonlinear component to overcome the first-order sliding mode control limitations, such as the chattering phenomenon. The performance of the suggested controller-based direct torque control with space vector modulation is verified by digital simulation with different operation conditions, like the abrupt variations in the load torque and the reference speed, using the MATLAB/SIMULINK environment. In fact, such simulation results are experimentally checked utilizing a dSPACE-1104.

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Improved Rotor Flux and Torque Control Based on the Third-Order Sliding Mode Scheme Applied to the Asynchronous Generator for the Single-Rotor Wind Turbine

Mathematics ◽

10.3390/math9182297 ◽

2021 ◽

Vol 9 (18) ◽

pp. 2297

Author(s):

Habib Benbouhenni ◽

Nicu Bizon

Keyword(s):

Wind Turbine ◽

Sliding Mode ◽

Direct Torque Control ◽

Torque Control ◽

Sliding Mode Controller ◽

Third Order ◽

Pi Regulator ◽

Asynchronous Generator ◽

Rotor Flux ◽

Traditional Strategy

In this work, a third-order sliding mode controller-based direct flux and torque control (DFTC-TOSMC) for an asynchronous generator (AG) based single-rotor wind turbine (SRWT) is proposed. The traditional direct flux and torque control (DFTC) technology or direct torque control (DTC) with integral proportional (PI) regulator (DFTC-PI) has been widely used in asynchronous generators in recent years due to its higher efficiency compared with the traditional DFTC switching strategy. At the same time, one of its main disadvantages is the significant ripples of magnetic flux and torque that are produced by the classical PI regulator. In order to solve these drawbacks, this work was designed to improve the strategy by removing these regulators. The designed strategy was based on replacing the PI regulators with a TOSMC method that will have the same inputs as these regulators. The numerical simulation was carried out in MATLAB software, and the results obtained can evaluate the effectiveness of the designed strategy relative to the traditional strategy.

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Sensorless fuzzy direct torque control of induction motor with sliding mode speed controller

Computers & Electrical Engineering ◽

10.1016/j.compeleceng.2021.107490 ◽

2021 ◽

Vol 96 ◽

pp. 107490

Author(s):

Soukaina El Daoudi ◽

Loubna Lazrak ◽

Najib El Ouanjli ◽

Mustapha Ait Lafkih

Keyword(s):

Induction Motor ◽

Sliding Mode ◽

Direct Torque Control ◽

Torque Control ◽

Speed Controller

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Design of Robust Speed Controller by Optimization Techniques for DTC IM Drive

International Journal of Computer Networks and Communications Security ◽

10.47277/ijcncs/1(1)3 ◽

2013 ◽

Vol 1 (2013) ◽

pp. 15-22

Keyword(s):

Sliding Mode ◽

External Disturbance ◽

Direct Torque Control ◽

Industrial Applications ◽

Pi Controller ◽

Optimization Techniques ◽

Torque Control ◽

Speed Controller ◽

Noisy Signals ◽

Motor Parameter

Direct Torque Control (DTC) of induction motor is preferred control strategy recently, due to its quick torque response, simplicity, less sensitivity against motor parameter variation. In general, PI speed controllers are widely used in industrial applications due to their simple structure. Due to the continuous variation of machine parameters, model uncertainties, nonlinear dynamics and system external disturbance, fixed gain PI controllers may becomes unable to provide the required control performance. Genetic Algorithm (GA) is used to tune the PI controller gains to ensure optimal performance. GA is more attractive for applications that involve non smooth or noisy signals. GA is used to minimize speed error and attains optimal values of the PI controller gains. The efficient and effective speed controllers can be designed by using adaptive control techniques. In which the conventional PI controller is replaced by structures based on Sliding Mode Control (SMC) strategy. SMC is known for its capability to cope with bounded disturbance as well as model imprecision which makes it ideal for the robust nonlinear control of IM drives

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DTC based on SVM for induction motor sensorless drive with fuzzy sliding mode speed controller

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v11i1.pp171-181 ◽

2021 ◽

Vol 11 (1) ◽

pp. 171

Author(s):

Sarra Massoum ◽

Abdelkader Meroufel ◽

Ahmed Massoum ◽

Wira Patrice

Keyword(s):

Steady State ◽

Induction Motor ◽

Sliding Mode ◽

Direct Torque Control ◽

Torque Control ◽

Ac Drives ◽

Speed Controller ◽

Fuzzy Sliding Mode ◽

Stator Flux ◽

Vector Modulation

By using the direct torque control (DTC), robust response in ac drives can be produced. Ripples of currents, torque and flux are oberved in steady state. space vector modulation (SVM) applied in DTC and used for a sensorless induction motor (IM) with fuzzy sliding mode speed controller (FSMSC) is studied in this paper. This control can minimize the torque, flux, current and speed pulsations in steady state. To estimate the rotor speed and stator flux the model reference adaptive system (MRAS) is used that is designed from identified voltages and currents. The FSMSC is used to enhance the efficiency and the robustness of the presented system. The DTC transient advantage are maintained, while better quality steady-state performance is produced in sensorless implementation for a wide speed range. The drive system performances have been checked by using Matlab Simultaion, and successful results have been obtained. It is deduced that the proposed control system produces better results than the classical DTC.

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