Indirect rotor field oriented control based on fuzzy logic controlled double star induction machine

Lekhchine, S.; Bahi, Tahar; Soufi, Youcef

doi:10.1016/j.ijepes.2013.11.053

Cited by 53 publications

(23 citation statements)

References 12 publications

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“…The two stators is displaced by angle (α=π/6), their axes are shifted from each other an electrical angle equal to (2 π/3) with isolated neutrals [7], [17]. Therefore, the orthogonality created between the two oriented fluxes, which must be strictly observed, leads to generate decoupled control with an optimal torque [3], [18].…”

Section: Description and Modelling Of Dsimmentioning

confidence: 99%

“…Dual star induction machines (DSIM) have been used in many industrial applications due to their performances in high power fields and for highpower applications such as electric hybrid vehicles, locomotive traction and electric ship propulsion [1][2][3][4][5], and has many advantages, not only does give reduced torque pulsation, reduced rotor harmonics as they can be filtered and power segmentation but it also requires less powerful electronic components as the current flowing in a six-phase machine is less than that flowing in a three-phase machine [4] [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…It is easy to design and implement, but it has difficulty in dealing with parameter variations, and load disturbances [10,11]. The control objective is to produce of control decoupled of the flux and the torque of the DSIM like DC motors [7], [12].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive Field-Oriented Control Using Supervisory Type-2 Fuzzy Control for Dual Star Induction Machine

Rahali¹,

Zeghlache²,

Benalia³

2017

IJIES

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This paper proposes Interval Type-2 Fuzzy Gain-Adaptive PI (IT2FGAPI) controller based on direct field oriented control (DRFOC), to control the speed of a dual star induction machine (DSIM), to get a robust performance machine. We use IT2FGAPI for speed control of the DSIM corresponding to adapting the different gains Kp and Ki corresponding the different PI logic, PI of speed, PI of flux and the four PI of currents in a vector control mode. An interval type-2 fuzzy control system is used to adapt in real-time the controller gains, to generate the PI controller parameters, he gives a fast dynamic response with no overshoot, robust and their performances are insensible to parameter variations, at different dynamic operating such as sudden change in command speed, step change in load torque and some key parameters deviation. The simulations results obtained from MatLab/Simulink are finally presented and discussed; the obtained results show that the controller in enhancing the robustness of control systems with high accuracy.

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Section: Description and Modelling Of Dsimmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptive Field-Oriented Control Using Supervisory Type-2 Fuzzy Control for Dual Star Induction Machine

Rahali¹,

Zeghlache²,

Benalia³

2017

IJIES

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show abstract

“…First, QLSA explores new positions using an exponential distribution obtained through the global convergence between step leaders; second, QLSA calculates the mean best position to enhance the original LSA; moreover, each step leader in QLSA cannot approach the global best position without regarding other step leaders. The distance between step leaders and MeanBest t j directs the new position distribution for each iteration, as shown in Equation (9). Suppose the global best position for a step leader is far from the other step leaders; the MeanBest t j may be pulled toward the global best position.…”

Section: Quantum-behaved Lightning Search Algorithm (Qlsa)mentioning

confidence: 99%

A Novel Quantum-Behaved Lightning Search Algorithm Approach to Improve the Fuzzy Logic Speed Controller for an Induction Motor Drive

2015

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This paper presents a novel lightning search algorithm (LSA) using quantum mechanics theories to generate a quantum-inspired LSA (QLSA). The QLSA improves the searching of each step leader to obtain the best position for a projectile. To evaluate the reliability and efficiency of the proposed algorithm, the QLSA is tested using eighteen benchmark functions with various characteristics. The QLSA is applied to improve the design of the fuzzy logic controller (FLC) for controlling the speed response of the induction motor drive. The proposed algorithm avoids the exhaustive conventional trial-and-error procedure for obtaining membership functions (MFs). The generated adaptive input and output MFs are implemented in the fuzzy speed controller design to formulate the objective functions. Mean absolute error (MAE) of the rotor speed is the objective function of optimization controller. An optimal QLSA-based FLC (QLSAF) optimization controller is employed to tune and minimize the MAE, thereby improving the performance of the induction motor with the change in speed and mechanical load. To validate the performance of the developed controller, the results obtained with the QLSAF are compared to the results obtained with LSA, the backtracking search algorithm (BSA), the gravitational search algorithm (GSA), the particle swarm optimization (PSO) and the proportional integral derivative controllers (PID), respectively. Results show that the QLASF outperforms the other control methods in all of the tested cases in terms of damping capability and transient response under different mechanical loads and speeds.

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“…phase (star 1) and 2 phase (star 2). The quantities relating to the two stars (1 and 2) will be denoted by s1 and s2 respectively[7,8,16].…”

mentioning

confidence: 99%

Control of dual stator induction generator integrated in wind energy conversion system

Benakcha¹,

Benalia²,

Ameur³

et al. 2017

Journal of Energy Systems

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This paper deals with the modeling and the control of a dual stator induction generator (DSIG) integrated into a wind energy conversion system with a variable speed wind turbine. DSIG is increasingly used because of its advantages in better reliability and supply division. It consists of two fixed three-phase stator windings displaced with an electrical angle . To minimize the harmonic distortion (THD), the objective of this work is to study the influence of the angle between these two stator windings on the grid generated current quality. To improve the performance of the system, the proposed control is demonstrated through an illustrative simulation.

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Indirect rotor field oriented control based on fuzzy logic controlled double star induction machine

Cited by 53 publications

References 12 publications

Adaptive Field-Oriented Control Using Supervisory Type-2 Fuzzy Control for Dual Star Induction Machine

Adaptive Field-Oriented Control Using Supervisory Type-2 Fuzzy Control for Dual Star Induction Machine

A Novel Quantum-Behaved Lightning Search Algorithm Approach to Improve the Fuzzy Logic Speed Controller for an Induction Motor Drive

Control of dual stator induction generator integrated in wind energy conversion system

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