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Based on the rebuilt of control rule base, a modified type PI-like fuzzy logic controller (FLC) with output scaling factor (SF) self-tuning mechanism is proposed in this paper for application in the switched reluctance motor (SRM) drive system. This paper intends to simplify the construction hierarchy and computational complexity of the controller by trimming the number of fuzzy sets in the membership...
The paper presents a method for estimation of the initial position in a SRM drive which is provided with an incremental encoder. This is necessary immediately after power up, before the motor starts and the index signal is received. On the other hand, to calculate the rotor position when the motor runs the control system should know the displacement of the index signal from the reference position...
Based on the redevelopment of control rule base, a modified type PI-like fuzzy logic controller with output scaling factor (SF) self-tuning mechanism is proposed and experimentally testified in this paper for application in the switched reluctance motor (SRM) drive system. This paper aims to simplify the structure hierarchy and computational complexity of the controller by reducing the number of fuzzy...
In this paper, a modern intelligent control based on computational model of mammalian limbic system and emotional processes (BELBIC) is presented for speed control of switched reluctance motor with attention to torque ripple reduction. In this work, a novel and simple model of SRM drives control plant is achieved by using the intelligent control system, which controls motor speed accurately and directly,...
The strongly nonlinear magnetic characteristic of switched reluctance motors (SRMs) makes their torque control a challenging task. In contrast to standard current-based control schemes, we use model predictive control (MPC) and directly manipulate the switches of the dc-link power converter. At each sampling time a constrained finite-time optimal control problem based on a discrete-time nonlinear...
A four-phase 8/6 pole and 75 kW switched reluctance motor drive based on 32-bit digital signal processor TMS320F2812 is designed. The details of the controller design and analysis are discussed. In addition, aiming at solving the nonlinear problems of the switched reluctance motor, fuzzy-PI hybrid algorithm is presented to control the motor speed and the phase current. Experimental results show that...
The purpose of this paper is to compare two different techniques to adjust the reference torque in a speed control loop for variable speed control of switched reluctance machine. The first technique is "instantaneous", i.e., the torque is instantaneously regulated to fit the reference by modulating the current profile with respect to rotor position using the electromagnetic torque characteristics...
This paper presents a fuzzy sliding mode controller used for switched reluctance motor speed regulation. Based on the technique of variable structure control (VSC) with sliding mode, we can construct the controller that possesses the merits of both fuzzy controller and variable structure controller. It is called a "fuzzy sliding mode controller" (FSMC). It provides a simple way to solve...
In this paper a torque compensation technique for switched reluctance motor (SRM) is proposed. The conventional torque control with a simple current control loop usually causes large torque ripples and affects the speed response and overall performance of the drive system. The proposed torque compensation method is based on a torque estimation technique using the inductance profile and squared value...
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