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This paper presents a speed control scheme of the switched reluctance motor (SRM) using a fuzzy logic controller (FLC). The fuzzy logic speed controller is employed in the outer loop. The performances of the proposed FLC based SRM drive is investigated experimentally at different dynamic operating conditions such as a change in the load under soft chopping mode with different rule bases.
As the switched reluctance motor (SRM) possesses highly nonlinear property due to its special structure and the switched reluctance motor drive (SRD) appears as a multi-variable coupling system with serious nonlinearity. The perfect control can not be obtained by the ordinary control methods. A nonlinear dynamic model for SRM is proposed based on its inductance magnetic characteristic which includes...
This paper proposes the predictive delta-modulation current regulator (PDCR) algorithm for use with the switched reluctance motor. The proposed PDCR combines features of the convention delta-modulation current regulator, which has simple structure and does not require any motor parameters, and the predictive current control, which estimates the current error signal of the next sampling period using...
The switched reluctance motor (SRM) drive system using hybrid fuzzy neural network (HFNN) controller is developed to control electric motorcycle in this paper. First, the dynamic models of a SRM drive system and electric motorcycle are builted though experimental tests and parameters measurements. Then, a HFNN speed control system that combined supervisor control, FNN control and compensated control...
Feedbacks signals of rotor speed and motor torque are essential in most of switched reluctance (SR) motor control applications. An SR motor has highly nonlinear characteristics that do not allow to be modeled by simple equations. Hence, the feedback signals can not be mathematically calculated from the model. Instead of calculation, they should be measured or estimated. In direct torque control (DTC)...
The paper deals with the problem of sensorless control of SRM drives. A speed control system using back EMF and position estimator is presented. The shaft position is estimated using a "global" current error. That observer robustness on motor parameter accuracy estimation is verified by simulation results.
In this paper a modified amplitude modulation (AM) technique for the assessment of rotor position in switched reluctance motor (SRM) drive is being presented. In this method, high frequency diagnostic sine wave is applied to the three stator pole windings and then the resulting magnitude of produced sine wave current for each phase is measured at standstill. The resulting current magnitude is different...
This paper develops an adaptive fuzzy logic controller (FLO) for the speed control of switched reluctance motor (SRM) drive. In a FLC, the method to improve the performance of the FLC is to tune the fuzzy rules, membership function and scaling gains of input and output. The scaling gains of the input and output of the proposed FLC are parameters that can be tuned conveniently. So, in this paper, an...
This paper presents the application of an optimized torque controller for a switched reluctance motor (SRM) based on look-up tables. The method is based in the correct adjustment of the converter turn-on and turn-off angles with the purpose of improving the average torque. The final objective is the correct computation of switching angles when the motor is operating in a wide speed range to 42 V for...
There are serious nonlinear and variables strongly coupling characteristic in SRM, so that its electromagnetic relationship is hard to analyze. The method of direct torque control which the parameters of motor are little required is employed. The torque and flux linkage of SRM are respectively controlled by PI regulators. The system can accurately control flux linkage, decrease current noise, improve...
This paper presents estimate the rotor position and speed of switched reluctance motor (SRM) based on hybrid observer (HO). This algorithm has been simulated with MATLAB/SIMULINK for nonlinear model of SRM and has been compared with current sliding mode observer (CSMO) and flux linkage sliding mode observer (FSMO). Simulation results show that proposed observer will estimate the rotor position and...
The purpose of this paper is to implement a novel approach to learning control for torque-ripple reduction of switched reluctance motor (SRM) using an adaptive fuzzy neural network (AFNN) control. First, the dynamic models of a SRM drive system are builted though SRM experimental tests and parameters measurements. Then, in order to reduce torque ripple, an AFNN speed control system that combined FNN...
The switched reluctance motor (SRM) drive is receiving increasing attentions from various researchers as well as industry as a viable candidate for adjustable speed and servo applications. Combining the unique features of an SRM with simple and efficient power converter that is uses, a superior motor drive system emerges which may be preferable for many applications compared to other AC or DC motor...
The switched reluctance motor is an aged member of the electric machine family. Its simple structure, rugged behavior, and economical manufacture ability makes them attractive for industrial applications. However, these merits are over shadowed by its inherently nonlinear characteristics, acoustic noise, and complexity of control. This paper discusses the practical approach of finding optimum drive...
This work presents the disturbance observer-based robust current and voltage controls for a digital signal processor (DSP)-based boost-type switch-mode rectifier (SMR) considering nonlinear behaviour. First, a robust current control scheme is developed to let the SMR inductor current waveform closely track its command around zero-crossing points, and hence the SMR possesses improved line drawn power...
In this paper, a novel direct torque controller for switched reluctance motor (SRM) is proposed using spatial iterative learning control (ILC). SRM magnetization characteristics are highly non-linear, and torque is a complex and coupled function of phase current and rotor position. Direct torque control (DTC) scheme avoids the complexity of torque-to- current conversion as required in indirect torque...
In this paper, an optimization method based on genetic algorithms (GA) is applied to find the best design parameters of the switching power circuit for a switched reluctance motor (SRM). The optimal parameters are found by GA with two objective functions, i.e. efficiency and torque ripple. A fuzzy expert system for predicting the performance of a switched reluctance motor has been developed. The design...
In this paper, a novel methodology for control of torque and flux of switched reluctance motor (SRM) drive in a hystersis manner is described. The philosophy of control is the direct torque control (DTC) by analysis the non-uniform torque characteristics of the motor. The scheme directly controls the torque and the torque ripple by controlling the magnitude of flux linkage and change in speed of stator...
This paper present a comprehensive analysis of current controlled power factor correction (PFC) converter-inverter fed Switched reluctance motor drive with fuzzy gain tuned PID controller. Power electronics equipments are the major source of harmonic pollution of the utility supply and reduce the efficiency and could be avoided by using the techniques presented in this paper. The paper presents the...
This paper describes a simplified novel method of sensorless detecting excitation position for switched reluctance motor (SRM) drive. The proposed sensorless excitation position is based on the amplified detecting phase current by the short dc pulse voltage according to the rotor position during detecting period. In the proposed sensorless scheme, a phase winding has excitation, detecting and non-excitation...
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