Reduction of torque ripple in DTC for induction motor using input-output feedback linearization

Belkacem, Sebti; Naceri, Farid; Abdessemed, Rachid

doi:10.2298/sjee1102097b

Cited by 15 publications

(13 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The C-DTC is considered to be one of the most important methods in the high-performance control of AC machines because of its simple structure, fast torque response, and low parameter dependency [19]. The basis of the C-DTC is the orientation of the stator flux vector with the selection of appropriate inverter switching states.…”

Section: Conventional Direct Torque Controlmentioning

confidence: 99%

Performance improvement of induction motor drives with model-based predictive torque control

Korkmaz¹

2020

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

One of the most important advantages of using modeling and simulation software in design and control engineering is the ability to predict system behavior within specified conditions. This paper presents a novel error vector-based control algorithm that aims to reduce torque ripples predicting flux and torque errors in a conventional vector-controlled induction motor. For this purpose, a new control model has been developed that envisages flux change by applying probabilistic space vectors' torque and flux control. In the proposed predictive control algorithm, flux and torque errors are calculated for each candidate voltage vector. Thus, the optimal output voltage vector that minimizes the error is determined for the next sampling time. A MATLAB/Simulink model of the proposed control algorithm was formed and experimental studies were conducted to test the applicability and effectiveness of the proposed method using a dSpace 1104 controller board. The results obtained by comparing the effects of the conventional torque control and the proposed predictive direct torque control methods on the motor performance are presented under various speed and loading conditions. The experimental results prove that the proposed algorithm reduced the torque ripples of the motor remarkably when compared to the conventional torque control. The proposed method stands out with its simple structure due to simplified cost function with the flux model prediction approach and easy applicability with satisfactory results.

show abstract

Section: Conventional Direct Torque Controlmentioning

confidence: 99%

Performance improvement of induction motor drives with model-based predictive torque control

Korkmaz¹

2020

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

show abstract

“…According to more industrial applications of IMD, this demands a modern control to get better performance characteristic at starting and steady-state conditions. This control can be achieved by applying a several new techniques [3].…”

Section: Introductionmentioning

confidence: 99%

Direct torque control of IM using PID controller

Abdullah

Ali

2020

IJECE

View full text Add to dashboard Cite

Direct torque control "DTC" technique is one of a high performance control system of an AC motor drive, which was proposed after the vector oriented control scheme during the resent 25 years. It has been developed rapidly for its concise system scheme, transient and dynamic performance. The DTC mechanism consists of voltage vector selection table, two hysteresis comparators and two estimator's one for stator flux and another for electromagnetic torque. DTC is directly control torque and flux by using Voltage Source Inverter VSI, space vector and stator flux orientation and indirect speed regulated. A several control techniques can be used for improving the torque and flux performance. In this paper, the DTC with Proportional-Integral-Derivative (PID) controller used to improve the starting and dynamic performance of asynchronous motor AM, which gives good torque and flux response, best speed control and also minimize the unacceptable torque ripple. The mathematical model of DTC with PID controller of 3-phase induction motor IM are simulated under Matlab-Simulink. Therefore, the DTC based on PID controller has good performance of IM compared to classical DTC for starting, running state and also during change in load. 618 that the DTC with PID controller has many merits simple realization, fast speed control, best starting and running characteristics over the classical DTC. All results are getting by using Matlab simulation [10]. MATHEMATICAL MODEL OF A 3-PHASE INDUCTION MOTOR DRIVEA model of three phase induction motor drive can be obtained when it is acts under normal and dynamic condition. Therefore, the variables quantities of IMD such as stator and rotor current, stator and rotor voltage, stator and rotor flux, and electromagnetism torque can be determined from this model [11,12]. The description model of a 3-phase IMD can be represented by differential equations when the main three phase stator and rotor quantities such as current, voltage, and flux are transform to stationary frame or two axis theory frame "d-q axis" by axis transformation. A 3-phase IMD model implemented based on the stationary reference frame [13,14]. The per phase equivalent circuit of 3-phase IMD in d-q axis is shown in the Figure 1, which used for implementing this model and the equations of stator and rotor quantities written as equations.

show abstract

“…Artificial intelligence methods have been combined with sliding mode control-to-control non-linear systems with uncertainties and at least to eliminate the chattering phenomenon. Fuzzy logic control [16,17] is often used in complex systems to overcome the limitations of conventional mathematical tools. It nevertheless has limits, in particular on the accuracy of the information expressed in natural language, thus presenting a certain margin of instability.…”

Section: Introductionmentioning

confidence: 99%

Neuro-fuzzy Sliding Mode Controller Based on a Brushless Doubly Fed Induction Generator

2020

IJE

View full text Add to dashboard Cite

The combination of neural networks and fuzzy controllers is considered as the most efficient approach for different functions approximation, and indicates their ability to control nonlinear dynamical systems. This paper presents a hybrid control strategy called Neuro-Fuzzy Sliding Mode Control (NFSMC) based on the Brushless Doubly fed Induction Generator (BDFIG). This replaces the sliding surface of the control to exclude chattering phenomenon caused by the discontinuous control action. This technique offers attractive features, such as robustness to parameter variations. Simulations results of 2.5 KW BDFIG have been presented to validate the effectiveness and robustness of the proposed approach in the presence of uncertainties with respect to vector control (VC) and sliding mode control (SMC). We compare the static and dynamic characteristics of the three control techniques under the same operating conditions and in the same simulation configuration. The proposed controller schemes (NFSMC) are effective in reducing the ripple of active and reactive powers, effectively suppress sliding-mode chattering and the effects of parametric uncertainties not affecting system performance.

show abstract

Reduction of torque ripple in DTC for induction motor using input-output feedback linearization

Cited by 15 publications

References 19 publications

Performance improvement of induction motor drives with model-based predictive torque control

Performance improvement of induction motor drives with model-based predictive torque control

Direct torque control of IM using PID controller

Neuro-fuzzy Sliding Mode Controller Based on a Brushless Doubly Fed Induction Generator

Contact Info

Product

Resources

About