Fuzzy-logic-based robust speed control of switched reluctance motor for low and high speeds

Omaç, Zeki

doi:10.3906/elk-1712-186

Cited by 8 publications

(5 citation statements)

References 28 publications

(37 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If the mutual inductance between phases is neglected, the voltage can be written for a phase of the outer rotor IWSRM in equation ( 3) [12][13].…”

Section: Mathematical Model Of Outer Rotor Iwsrm and Simulation Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Investigation of an Outer Rotor In-Wheel Switched Reluctance Motor for Electric Vehicles by Finite Element Method

Omaç

2022

Turkish Journal of Science and Technology

Self Cite

View full text Add to dashboard Cite

The demand of fossil fuel vehicles has decreased due to carbon emissions. Recently, electric vehicles (EV) with electric motor propulsion have got attention due to their zero carbon emissions and high efficiency. In this study, an outer rotor in-wheel switched reluctance motor (IWSRM) with 18 poles on the stator and 24 poles on the rotor, designed for the propulsion of electric vehicles, is investigated in two-dimensional Finite Element Method (FEM). The magnetic field distributions of IWSRM for different rotor positions at nominal current are obtained. Then, the torque and phase inductance are calculated. As a result, the designed outer rotor IWSRM provided low torque ripple.

show abstract

“…If the mutual inductance between phases is neglected, the voltage can be written for a phase of the outer rotor IWSRM in equation ( 3) [12][13].…”

Section: Mathematical Model Of Outer Rotor Iwsrm and Simulation Resultsmentioning

confidence: 99%

“…This causes a ripple in the total torque produced. The torque ripple causes acoustic noises in SRM [13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Investigation of an Outer Rotor In-Wheel Switched Reluctance Motor for Electric Vehicles by Finite Element Method

Omaç

2022

Turkish Journal of Science and Technology

Self Cite

View full text Add to dashboard Cite

show abstract

“…The membership functions describe the variable along a normalized universe of discourse. The fuzzy variables can be negative great (NG), close to zero (Z), and positive great (PG), as can be seen in Figure 5 [2,13]. To make things clearer, some rules are described below: -If ( eω r is NG or PG) and ( deω r is NG or PG), then ( F s is F).…”

Section: Fuzzy Rules Extractionmentioning

confidence: 99%

“…Furthermore, artificial intelligence techniques generally confer the capacity and power needed in solving the different problems encountered in the field of industrial systems, particularly those related to the control of electrical machines. It has been observed that using fuzzy logic represents one of the most interesting routes for the implementation of the core of the proposed fault-tolerant control (FTC) [2,13].…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of speed sensor faults in an induction machine based on a robust adaptive super-twisting observer

Kari¹,

Mechernene²,

Meliani³

et al. 2020

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

The present paper aims to determine a robust sensor fault-tolerant controller based on fuzzy logic using a robust adaptive super-twisting observer for the control of an induction machine and an inverter set by a state estimation method. The speed sensor is considered in the present case. The modular structure of the fault-tolerant control (FTC) scheme allows integrating this sensor within the existing closed-loop system, and the observer can therefore be designed independently. This article presents a new method to develop a fuzzy decision system that provides faulttolerant control. This paper also aims at detecting the mechanical speed sensor faults. The proposed approach allows the automatic reconfiguration of the system in the event of a speed sensor failure. The defective fuzzy detection system makes a transition between the speed sensor and the robust observer based on a super-twisting algorithm that ensures the continuity and stability of the system; the fuzzy detection and transition system is required to be robust to parametric variations, and must be fast enough in order to locate the defect and eventually make a transition in the event of a fault. The output of the fuzzy block is injected into the control block to ensure super-twisting speed regulation. The performance of the proposed strategy also the robustness against parameter variation are assessed by simulation thanks to Matlab/Simulink software.

show abstract

“…Switched reluctance motors (SRM) have advantages such as higher torque compared with the inertia, robust and reliable structure which are make them simple and cheap. Moreover, it has a simple power electronic converter and the ability to run at high efficiency and high speed [3]- [6].…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of a Water Pumping System with Photovoltaic Source and Switched Reluctance Motor

Omaç

2019

Balkan Journal of Electrical and Computer Engineering

Self Cite

View full text Add to dashboard Cite

Solar energy is a clean energy and it is increasingly being used all over the world. In this study, a water pump drive has been designed with a switched reluctance motor (SRM) to be powered by a photovoltaic energy source (PV). A boost converter has been used to increase the voltage of the PV source. The mathematical model of the system has been composed in the Matlab/Simulink and simulation results have been obtained. Output voltage of the boost converter has been controlled by using a PID controller at 50 kHz switching frequency. A centrifugal pump has been used as the water pump. In the control of boost converter, an eight bit PIC16F877A microcontroller has been used. The electrical energy obtained by PV panels has been stored in batteries. Battery charge testers have been used in order to control the battery charge level. The speed and current control of SRM has been done by using DS1103 Ace kit. The value of the current has been perceived by using hall sensors and transferred to the digital signal processor by using an analog to digital converter. The accuracy of simulation results has been proved by experimental results.

show abstract

Fuzzy-logic-based robust speed control of switched reluctance motor for low and high speeds

Cited by 8 publications

References 28 publications

Investigation of an Outer Rotor In-Wheel Switched Reluctance Motor for Electric Vehicles by Finite Element Method

Investigation of an Outer Rotor In-Wheel Switched Reluctance Motor for Electric Vehicles by Finite Element Method

Diagnosis of speed sensor faults in an induction machine based on a robust adaptive super-twisting observer

Design and Analysis of a Water Pumping System with Photovoltaic Source and Switched Reluctance Motor

Contact Info

Product

Resources

About