A new improved DTC of doubly fed induction machine using GA-based PI controller

Abderrahim, Zemmit; Messalti, Sabir; Harrag, Abdelghani

doi:10.1016/j.asej.2016.10.011

Cited by 65 publications

(37 citation statements)

References 27 publications

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“…Recently, the genetic algorithm is used to improve the dynamic performance of the DTC control; it is well adapted to optimize the gain values of the speed controller [116,117].…”

Section: Genetic Algorithm Based Dtcmentioning

confidence: 99%

“…In [116], the optimization technique (GA) has been applied to DTC, the authors use a PI regulator optimized by the genetic algorithm (PI-GA), This method showed better performance compared to conventional DTC in both transient and stable states, of which many advantages have been confirmed, related to torque and flux ripples, reduction of overshoot and response time.…”

Section: Genetic Algorithm Based Dtcmentioning

confidence: 99%

See 1 more Smart Citation

Modern improvement techniques of direct torque control for induction motor drives - a review

Ouanjli¹,

Derouich²,

Ghzizal³

et al. 2019

Prot Control Mod Power Syst

105

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Conventional direct torque control (DTC) is one of the excellent control strategies available to control the torque of the induction machine (IM). However, the low switching frequency of the DTC causes high ripples in the flux and torque that leads to an acoustic noise which degrades the control performances, especially at low speeds. Many direct torque control techniques were appeared to remedy these problems by focusing specifically on the torque and flux. In this paper, a state of the art review of various modern techniques for improving the performance of DTC control is presented. The objective is to make a critical analysis of these methods in terms of ripples reduction, tracking speed, switching loss, algorithm complexity and parameter sensitivity. Further, it is envisaged that the information presented in this review paper will be a valuable gathering of information for academic and industrial researchers.

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“…Recently, the genetic algorithm is used to improve the dynamic performance of the DTC control; it is well adapted to optimize the gain values of the speed controller [116,117].…”

Section: Genetic Algorithm Based Dtcmentioning

confidence: 99%

Section: Genetic Algorithm Based Dtcmentioning

confidence: 99%

Modern improvement techniques of direct torque control for induction motor drives - a review

Ouanjli¹,

Derouich²,

Ghzizal³

et al. 2019

Prot Control Mod Power Syst

105

View full text Add to dashboard Cite

show abstract

“…Compared to FOC, DTC provides many advantages such as (i) simple implementation (ii) absence of current controllers, (iii) quick response control, (iv) less machine parameter dependence [18,19]. However, this control strategy has major inconvenient like (a) accurate estimation of torque and flux (a) high torque and flux ripples (d) variable switching frequency [20].…”

Section: Introductionmentioning

confidence: 99%

Optimal Control of Induction Motor for Photovoltaic Water Pumping System

Errouha¹,

Derouich²,

Motahhir³

et al. 2020

Technol Econ Smart Grids Sustain Energy

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This paper aims to improve the induction motor (IM) performance for photovoltaic (PV) water pumping systems (PVWPS) without battery storage. The proposed technique is designed by direct torque control based on fuzzy logic controller (FLC). The purpose is to ensure optimal control of flux reference to reduce motor losses and hence, the efficiency of the PVWPS is improved. The maximum power point tracking (MPPT) is achieved using a variable step size Perturb and Observe (VSS P&O) algorithm. The PV system incorporating the proposed technique is tested and compared with the control scheme based on constant flux reference under a real annual data of atmospheric conditions of the target site. The simulation results indicate the effectiveness of the proposed control strategy in terms of the reduction in stator current, optimizing flux, electrical speed and pumped water.

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“…Recently, the artificial intelligent control techniques have been widely applied to DTC for induction motor drives and for DFIG. [15][16][17][18][19][20][21][22][23][24] In Zemmit et al, 16 the authors proposed an approach that consists of generating the optimal electromagnetic torque from a genetic algorithms tuned proportional integral (PI) speed controller. The results showed a significant reduction in the flux and the torque ripples.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy 12 sectors improved direct torque control of a DFIG with stator power factor control strategy

Ayrir

Haddi

2019

Int Trans Electr Energ Syst

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Summary In this paper, an improved direct torque control (DTC) strategy based on a fuzzy inference system is proposed to control a doubly fed induction generator (DFIG)‐based wind energy conversion system (WECS). The proposed method is based on increasing the number of sectors to 12 instead of six in the classical DTC (C‐DTC), and the use of a fuzzy inference system to generate the optimal voltage vector to apply to the rotor side converter (RSC). The proposed method aims to reduce the flux and torque undulations which are considered the main disadvantage of the C‐DTC and to control the power factor at the stator terminals by generating the referential rotor flux from the referential reactive power. The effectiveness of the proposed strategy is well tested by the simulation. Moreover, a total harmonic distortion (THD) analysis was performed for the rotor and stator currents waveforms. The results show a considerable reduction of the undulations for both flux and torque, and a significant reduction of the THD.

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A new improved DTC of doubly fed induction machine using GA-based PI controller

Cited by 65 publications

References 27 publications

Modern improvement techniques of direct torque control for induction motor drives - a review

Modern improvement techniques of direct torque control for induction motor drives - a review

Optimal Control of Induction Motor for Photovoltaic Water Pumping System

Fuzzy 12 sectors improved direct torque control of a DFIG with stator power factor control strategy

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