Speed sensorless indirect field-oriented of induction motor using two type of adaptive observer

Regaya, Chiheb Ben; Zaafouri, Abderrahmen; Châari, Abdelkader

doi:10.1109/iceesa.2013.6578380

Cited by 4 publications

(5 citation statements)

References 9 publications

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“…Two recommended techniques for controlling the induction motor with high performance have been presented in the literature. The first one is called direct field-oriented control (DFOC) and the second one is the indirect field-orientated control (IFOC) [1]. In order to optimize the performance of the induction motor and reduce the sensitivity of the stability of the device for controlling the variation of rotor resistance, we will use the indirect field-oriented control technique.…”

Section: Indirect Field-oriented Control Of Induction Motor Drive (Ifoc)mentioning

confidence: 99%

“…Induction motors are broadly used in industrial applications and the majority of power in the world is currently consumed by them. They are used because of their benefits compared to other types of rotating electrical machines, such as robustness, reliability, and reduced maintenance [1]. Many methods of control presented in the literature have been proposed to circumvent the problem of variation of the rotor resistance for the indirect field-oriented controlled induction machines, which can change with time due to ohmic heating [2].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Electric Drive Control with Rotor Resistance and Rotor Speed Observers Based on Fuzzy Logic

Regaya

Zaafouri

Châari

2014

Mathematical Problems in Engineering

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Many scientific researchers have proposed the control of the induction motor without speed sensor. These methods have the disadvantage that the variation of the rotor resistance causes an error of estimating the motor speed. Thus, simultaneous estimation of the rotor resistance and the motor speed is required. In this paper, a scheme for estimating simultaneously the rotor resistance and the rotor speed of an induction motor using fuzzy logic has been developed. We present a method which is based on two adaptive observers using fuzzy logic without affecting each other and a simple algorithm in order to facilitate the determination of the optimal values of the controller gains. The control algorithm is proved by the simulation tests. The results analysis shows the characteristic robustness of the two observers of the proposed method even in the case of variation of the rotor resistance.

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Section: Indirect Field-oriented Control Of Induction Motor Drive (Ifoc)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Electric Drive Control with Rotor Resistance and Rotor Speed Observers Based on Fuzzy Logic

Regaya

Zaafouri

Châari

2014

Mathematical Problems in Engineering

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“…However, these estimation techniques have the drawbacks like DC offset developed by integrator operation, overdependence on the time of sampling and the use of derivatives of rotor position for speed synthesis. Furthermore, model reference adaptive system (MRAS)–based methods for the speed estimation in BDFRM drives have been reported in (Regaya et al , 2013) (Kiran et al , 2018) (Kumar and Das, 2018) (Agha Kashkooli and Jovanović, 2020). A secondary flux-based MRAS used for such purpose is presented in (Kiran et al , 2018).…”

Section: Introductionmentioning

confidence: 99%

Modified active power-MRAS for limited range variable speed sensorless brushless doubly-fed reluctance machine drive

Kumar

Das

2022

COMPEL

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Purpose This paper aims to suggest a parameter independent and simple speed estimator for primary field-oriented control of a promising electro-mechanical energy conversion device in the form of brushless doubly-fed reluctance machine (BDFRM) drive. Design/methodology/approach The speed estimation algorithm, in this context, is formulated using a modified secondary winding active power (mPs)-based model reference adaptive system (MRAS). The performance of the proposed estimator is verified through computer aided MATLAB simulation study, compared with conventional active power-based MRAS and further supported with experimental validation using a 1.6 kW BDFRM prototype run by a dSPACE-1103 controller. Findings The formulation of mPs-MRAS is insensitive to any machine parameters and does not involve any integration/differentiation terms. Thus, any deviation therein does not hinder the performance of the mPs-MRAS-based speed estimator. The proposed speed estimator shows stable behavior for variable speed-constant load torque operation in all the four quadrants. Originality/value The formulation of mPs-MRAS is insensitive to any machine parameter and does not involve any integration/differentiation terms.

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“…Hwang et al (2002) have applied the phase and gain margins with a minimum error criterion strategy for tuning the FOPI l D m controller. Different types of controller tuning and design methods were reported in recent research studies to obtain an effective fractional order controller for various control applications (Ben Regaya et al, 2013;Chen et al, 2004;Wang et al, 2012;Muresan et al, 2016;Tan et al, 2002;Luo and Wang, 2013). In this paper, a new fractional control scheme is introduced in which the fractional order term l is used for the integral plus proportional combined term of the controller.…”

Section: Introductionmentioning

confidence: 99%

Design of an enhanced fractional order PID controller for a class of second-order system

Kanagaraj

Jha

2021

COMPEL

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Purpose This paper aims to design a modified fractional order proportional integral derivative (PID) (FO[PI]λDµ) controller based on the principle of fractional calculus and investigate its performance for a class of a second-order plant model under different operating conditions. The effectiveness of the proposed controller is compared with the classical controllers. Design/methodology/approach The fractional factor related to the integral term of the standard FO[PI]λDµ controller is applied as a common fractional factor term for the proportional plus integral coefficients in the proposed controller structure. The controller design is developed using the regular closed-loop system design specifications such as gain crossover frequency, phase margin, robustness to gain change and two more specifications, namely, noise reduction and disturbance elimination functions. Findings The study results of the designed controller using matrix laboratory software are analyzed and compared with an integer order PID and a classical FOPIλDµ controller, the proposed FO[PI]λDµ controller exhibit a high degree of performance in terms of settling time, fast response and no overshoot. Originality/value This paper proposes a methodology for the FO[PI]λDµ controller design for a second-order plant model using the closed-loop system design specifications. The effectiveness of the proposed control scheme is demonstrated under different operating conditions such as external load disturbances and input parameter change.

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Speed sensorless indirect field-oriented of induction motor using two type of adaptive observer

Cited by 4 publications

References 9 publications

Electric Drive Control with Rotor Resistance and Rotor Speed Observers Based on Fuzzy Logic

Electric Drive Control with Rotor Resistance and Rotor Speed Observers Based on Fuzzy Logic

Modified active power-MRAS for limited range variable speed sensorless brushless doubly-fed reluctance machine drive

Design of an enhanced fractional order PID controller for a class of second-order system

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