Implementation of Real-Coded GA-based Fuzzy Controller for Sensorless SR Motor Drive

Uma, J.; Jeevanandham, A.; Muniraj, C.

doi:10.1007/s40815-015-0124-2

Cited by 10 publications

(1 citation statement)

References 25 publications

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“…The point from where maximum power can be removed is supposed to be the Maximum Power Point and MPPT is the way toward discovering this point [4] MPP is addressed by the top worth of the result of V and I of the PV module. Genetic algorithm based optimization in PV with MPPT is discussed in [5]. BLDC engine drive has been intended for various low-power applications [6].…”

Section: Introductionmentioning

confidence: 99%

DC–DC Converter with Pi Controller for BLDC Motor Fuzzy Drive System

Pandeeswari¹,

Jaganathan²

2023

Computer Systems Science and Engineering

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The Brushless DC Motor drive systems are used widely with renewable energy resources. The power converter controlling technique increases the performance by novel techniques and algorithms. Conventional approaches are mostly focused on buck converter, Fuzzy logic control with various switching activity. In this proposed research work, the QPSO (Quantum Particle Swarm Optimization algorithm) is used on the switching state of converter from the generation unit of solar module. Through the duty cycle pulse from optimization function, the MOSFET (Metal-Oxide-Semiconductor Field-Effect Transistor) of the Boost converter gets switched when BLDC (Brushless Direct Current Motor) motor drive system requires power. Voltage Source three phase inverter and Boost converter is controlled by proportional-integral (PI) controller. Based on the BLDC drive, the load utilized from the solar generating module. Experimental results analyzed every module of the proposed grid system, which are solar generation utilizes the irradiance and temperature depends on this the Photovoltaics (PV) power is generated and the QPSO with Duty cycle switching state is determined. The Boost converter module is boost stage based on generation and load is obtained. Single Ended Primary Inductor Converter (SEPIC) and Zeta converter model is compared with the proposed logic; the proposed boost converter achieves the results. Three phase inverter control, PI, and BLDC motor drive results. Thus the proposed grid model is constructed to obtain the better performance results than most recent literatures. Overall design model is done by using MATLAB/Simulink 2020a.

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Section: Introductionmentioning

confidence: 99%

DC–DC Converter with Pi Controller for BLDC Motor Fuzzy Drive System

Pandeeswari¹,

Jaganathan²

2023

Computer Systems Science and Engineering

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Precisely Tuned Dwelling Position Detector for Switched Reluctance Drive

Beniwal

Tripathi

2019

Arab J Sci Eng

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An advanced robust method for speed control of switched reluctance motor

Zhang

Ming

et al. 2018

Review of Scientific Instruments

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This paper presents an advanced robust controller for the speed system of a switched reluctance motor (SRM) in the presence of nonlinearities, speed ripple, and external disturbances. It proposes that the adaptive fuzzy control is applied to regulate the motor speed in the outer loop, and the detector is used to obtain rotor detection in the inner loop. The new fuzzy logic tuning rules are achieved from the experience of the operator and the knowledge of the specialist. The fuzzy parameters are automatically adjusted online according to the error and its change of speed in the transient period. The designed detector can obtain the rotor's position accurately in each phase module. Furthermore, a series of contrastive simulations are completed between the proposed controller and proportion integration differentiation controller including low speed, medium speed, and high speed. Simulations show that the proposed robust controller enables the system reduced by at least 3% in overshoot, 6% in rise time, and 20% in setting time, respectively, and especially under external disturbances. Moreover, an actual SRM control system is constructed at 220 V 370 W. The experiment results further prove that the proposed robust controller has excellent dynamic performance and strong robustness.

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Implementation of Real-Coded GA-based Fuzzy Controller for Sensorless SR Motor Drive

Cited by 10 publications

References 25 publications

DC–DC Converter with Pi Controller for BLDC Motor Fuzzy Drive System

DC–DC Converter with Pi Controller for BLDC Motor Fuzzy Drive System

Precisely Tuned Dwelling Position Detector for Switched Reluctance Drive

An advanced robust method for speed control of switched reluctance motor

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