Indirect field-oriented control of induction motor drive based on adaptive fuzzy logic controller

Zeb, Kamran; Ali, Zunaib; Saleem, Khurram; Uddin, Waqar; Javed, Muhammad Awais; Christofides, Nicholas

doi:10.1007/s00202-016-0447-5

Cited by 47 publications

(28 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It can be noticed that the performance of the second-order model is quite satisfying with a rapid response. The capability of the Fuzzy Logic Controller (FLC) to avoid load distortions is simulated for two conditions at different reference speeds and also for continuous reference speed with variable load (Zeb et al, 2017). For the different speed conditions, the beginning speed of 800 rpm the effect of using a step increment for the speed of 1200 rpm at 2 s, and then decreasing the speed to 1000 rpm at 4 s were analyzed.…”

Section: Performance Validation Under Transient Conditionsmentioning

confidence: 99%

Power Factor Correction Dual Input SEPIC Converter based Single Phase Induction Motor Drive with Speed Control

Vijayakumar¹,

Manoharan²

2020

STUD INFORM CONTROL

View full text Add to dashboard Cite

Section: Performance Validation Under Transient Conditionsmentioning

confidence: 99%

Power Factor Correction Dual Input SEPIC Converter based Single Phase Induction Motor Drive with Speed Control

Vijayakumar¹,

Manoharan²

2020

STUD INFORM CONTROL

View full text Add to dashboard Cite

“…Because of smaller step sizes, FLC based on SD is always convergent. The SD algorithm is slow but convergent [27,28]. The probability of divergence increases in the Gauss-Newton (GN) procedure, although it minimizes the error function faster than does the SD technique.…”

Section: Proposed Flc Based On Lmmentioning

confidence: 99%

“…LM technique optimally solves least square minimization problems. The cost function of a control scheme is optimized by the LM algorithm as [25,28]:…”

Section: Proposed Flc Based On Lmmentioning

confidence: 99%

Dynamic Simulations of Adaptive Design Approaches to Control the Speed of an Induction Machine Considering Parameter Uncertainties and External Perturbations

et al. 2018

View full text Add to dashboard Cite

Recently, the Indirect Field Oriented Control (IFOC) scheme for Induction Motors (IM) has gained wide acceptance in high performance applications. The IFOC has remarkable characteristics of decoupling torque and flux along with an easy hardware implementation. However, the detuning limits the performance of drives due to uncertainties of parameters. Conventionally, the use of a Proportional Integral Differential (PID) controller has been very frequent in variable speed drive applications. However, it does not allow for the operation of an IM in a wide range of speeds. In order to tackle these problems, optimal, robust, and adaptive control algorithms are mostly in use. The work presented in this paper is based on new optimal, robust, and adaptive control strategies, including an Adaptive Proportional Integral (PI) controller, sliding mode control, Fuzzy Logic (FL) control based on Steepest Descent (SD), Levenberg-Marquardt (LM) algorithms, and Hybrid Control (HC) or adaptive sliding mode controller to overcome the deficiency of conventional control strategies. The main theme is to design a robust control scheme having faster dynamic response, reliable operation for parameter uncertainties and speed variation, and maximized torque and efficiency of the IM. The test bench of the IM control has three main parts: IM model, Inverter Model, and control structure. The IM is modelled in synchronous frame using d q modelling while the Space Vector Pulse Width Modulation (SVPWM) technique is used for modulation of the inverter. Our proposed controllers are critically analyzed and compared with the PI controller considering different conditions: parameter uncertainties, speed variation, load disturbances, and under electrical faults. In addition, the results validate the effectiveness of the designed controllers and are then related to former works.

show abstract

“…Specifically, the both reference frame of stator and rotor are customarily derived in synchronously from equations of motion, voltage and flux linkage [9]. The dq-axis of equivalent model for induction motor is achieved by decoupling an imaginary part and real part from space vector model with equations of motion, voltage and flux linkage respectively as shown in Figure 1.…”

Section: Modeling Of Induction Motormentioning

confidence: 99%

Comparison Performances of Indirect Field Oriented Control for Three-Phase Induction Motor Drives

Aziri¹,

Patakor²,

Sulaiman³

et al. 2017

IJPEDS

View full text Add to dashboard Cite

This paper presents the comparative performances of Indirect Field Oriented Control (IFOC) for the three-phase induction motor. Recently, the interest of widely used the induction motor at industries because of reliability, ruggedness and almost free in maintenance. Thus, the IFOC scheme is employed to control the speed of induction motor. Therefore, P and PI controllers based on IFOC approach are analyzed at differences speed commands with no load condition. On the other hand, the PI controller is tuned based on Ziegler-Nichols method by using PSIM software which is user-friendly for simulations, design and analysis of motor drive, control loop and the power converter in power electronics studies. Subsequently, the simulated of P controller results are compared with the simulated of PI controller results at difference speed commands with no load condition. Finally, the simulated results of speed controllers are compared with the experimental results in order to explore the performances of speed responses by using IFOC scheme for three-phase induction motor drives.

show abstract

Indirect field-oriented control of induction motor drive based on adaptive fuzzy logic controller

Cited by 47 publications

References 18 publications

Power Factor Correction Dual Input SEPIC Converter based Single Phase Induction Motor Drive with Speed Control

Power Factor Correction Dual Input SEPIC Converter based Single Phase Induction Motor Drive with Speed Control

Dynamic Simulations of Adaptive Design Approaches to Control the Speed of an Induction Machine Considering Parameter Uncertainties and External Perturbations

Comparison Performances of Indirect Field Oriented Control for Three-Phase Induction Motor Drives

Contact Info

Product

Resources

About