Speed control with torque ripple reduction of switched reluctance motor by Hybrid Many Optimizing Liaison Gravitational Search technique

Saha, Nutan; Panda, Sidhartha

doi:10.1016/j.jestch.2016.11.018

Cited by 34 publications

(16 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The simulation parameters of the SRM are given in Table 2. [8] [23]. The first step of the simulation work is applying the DITC using Hysteresis Torque Control (HTC) for SRM and obtain the machine performance (motor speed profile, motor torque, and torque ripples).…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…To overcome the problems of the SRM and improve the EVs overall performance there are two main ways, the first one by improving the mechanical design of the electric machine and the second way by selecting suitable control strategies and optimal control techniques. Three main strategies can be used for SRM control these strategies are speed control, current control, and torque control [8]. The main challenge which has to be solved by control techniques is the torque ripples problem, this problem is considered very complicated, and it is not easy to solve because it is affected by many factors [9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Direct Instantaneous Torque Control of the Switched Reluctance Motor for Electric Vehicles Applications Using Fuzzy Logic Control

Abdel-Fadil

Számel

2019

Acta Tech Jaur

View full text Add to dashboard Cite

This paper presents direct torque control of Switched Reluctance Motor (SRM) using Fuzzy Logic Control (FLC) for electric vehicles applications. The PD-FLC is proposed for SRM torque control, to keep the torque of the motor shaft in tracking the reference torque with high accuracy. With the help of FLC techniques, the SRM torque ripples can be reduced compared to traditional control techniques. In this study, the nonlinear 6/4 SRM model is simulated with the symmetrical converter, and the converter controller is programmed using C-language. The proposed method is tested at different load and variable speed conditions, and the obtained results confirm that the FLC direct torque control can be used for torque control to improve the motor performance and reduce the torque ripples compared to other techniques such as direct instantaneous torque control.

show abstract

Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Direct Instantaneous Torque Control of the Switched Reluctance Motor for Electric Vehicles Applications Using Fuzzy Logic Control

Abdel-Fadil

Számel

2019

Acta Tech Jaur

View full text Add to dashboard Cite

show abstract

“…For it to have a physical meaning, it must be according to known variables. (5) Replacing in (5) and simplification: (6) This equation clearly shows that the instantaneous input power is equal to the sum of the resistive losses given by , the rate of change of the electromagnetic energy is given by and the power P i in the air gap given by the term .Setting the time according to rotor position and speed (7) The power in the gap becomes: The power in the air gap is equal to the product of the electromagnetic torque and the speed of the rotor (9) Whence comes the equation of the electromagnetic torque:…”

Section: Equivalent Circuit and Electromagnetic Equationsmentioning

confidence: 99%

“…It is therefore necessary to design efficient comands that are less sensitive to these parametric variations and to these disturbances. A current direction of research is essentially based on the comparison of advanced commands that use the tools of artificial intelligence: fuzzy logic, artificial neural networks [5]. We will demonstrate the utility of applying different robust comands with fuzzy logic or neural networks that will at best enable the prosecution of position trajectories with great accuracy and, on than the others, significantly reduce the ripples of torque of VRM [6].…”

Section: Introductionmentioning

confidence: 98%

Control of variable reluctance machine (8/6) by artificiel intelligence techniques

Mama¹,

Benouzza²,

Bekouche³

2020

IJECE

View full text Add to dashboard Cite

The non-linearity of variable-Reluctance Machine (8/6) and the dependence of machine inductance on rotor position and applied current complicate the development of the control strategies of drives using variable-Reluctance Machine variable-Reluctance Machine (VRM). The classical-control algorithms for example of derived full proportional action may prove sufficient if the requirements on the accuracy and performance of systems are not too strict. In the opposite case and particularly when the controlled part is submitted to strong nonlinearity and to temporal variations, control techniques must be designed which ensure the robustness of the process with respect to the uncertainties on the parameters and their variations. These techniques include artificial-intelligence-based techniques constituted of neural networks and fuzzy logic. This technique has the ability to replace PID regulators by nonlinear ones using the human brain’s reasoning and functioning and is simulated by using MATLAB/Simulink software. Finally, by using obtained waveforms, these results will be compared.

show abstract

“…Sin embargo, la mayoría de las técnicas anteriores pueden llegar a ser muy complejas y difíciles de implementar, por lo cual, en la industria se preere utilizar controladores clásicos tales como el PI, por su fácil implementación, efectividad y precio. Por este motivo, gran parte de la investigación actual sobre el control de este tipo de motores buscan mejorar este controlador o diseñar nuevas técnicas de control tomando como marco de referencia el controlador PI [31], [32] y [33]. El controlador clásico que se agregará al motor tiene la tarea de controlar la velocidad del motor satisfaciendo las especicaciones de diseño siguientes; ancho de banda de 8 rad/s, margen de ganancia innito y margen de fase≥60°.…”

Section: Simulación En Los Modos De Troceado De Corriente Y Desmagnetizaciónunclassified

Control de velocidad de un motor de reluctancia variable de 4 fases y 6 polos, utilizando técnicas de control clásico

Román¹,

Jesús²

View full text Add to dashboard Cite

In this work, the analysis and design of a speed control system of a variable reluctance motor with six poles and four phases is presented. The nonlinear motor model includes the nonlinearity of the Coulomb friction plus the viscous friction. The structural analysis of the non-linear model is carried out, which is linearized at the operating point established at 2000rpm. Both the non-linear and linear models are compared both in their structure and in their responses through digital simulations, finding that under certain conditions both have similar behaviors. Subsequently, based on the linear model, a classic PI controller is designed and subjected to regulation, tracking and load torque variation tests. The controller design is carried out using the Bode shaping technique, guaranteeing adequate gain and phase margins with a higher bandwidth than the mechanical subsystem mode. The robustness is verified by means of the digital simulation of the control system using the non-linear model, which is also subjected to load variations, finding that the PI controller has excellent performance in both regulation and tracking. Finally, two additional controllers are proposed: the first is a PII controller, the objective of which is to reduce the effect of the non-linearity called dead zone present in the motor at start-up or at low speeds. The second is a PI controller that adds a new technique for reducing the ripple present in the speed and torque responses, characteristics of this type of motor.

show abstract

Speed control with torque ripple reduction of switched reluctance motor by Hybrid Many Optimizing Liaison Gravitational Search technique

Cited by 34 publications

References 29 publications

Direct Instantaneous Torque Control of the Switched Reluctance Motor for Electric Vehicles Applications Using Fuzzy Logic Control

Direct Instantaneous Torque Control of the Switched Reluctance Motor for Electric Vehicles Applications Using Fuzzy Logic Control

Control of variable reluctance machine (8/6) by artificiel intelligence techniques

Control de velocidad de un motor de reluctancia variable de 4 fases y 6 polos, utilizando técnicas de control clásico

Contact Info

Product

Resources

About