scholarly journals Novel Efficacious Utilization of Fuzzy-Logic Controller-Based Two-Quadrant Operation of PMBLDC Motor Drive Systems for Multipass Hot-Steel Rolling Processes

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 1008 ◽  
Author(s):  
Mohanraj Nandakumar ◽  
Sankaran Ramalingam ◽  
Subashini Nallusamy ◽  
Shriram Srinivasarangan Rangarajan
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Rolling Process ◽  
Operating Conditions ◽  
Drive System ◽  
Motor Drive ◽  
Bldc Motor ◽  
Steel Rolling ◽  
Drive Systems ◽  
Motor Drive System

This study investigates the rough steel-rolling process, which requires repeated and rapid bidirectional hot-rolling operations and proposes a fuzzy-logic-controller-based brushless electric DC (BLDC) motor drive system for the same. We present a modeling of the hot-steel rough-rolling process using a set of metallurgical parameters and mechanical equations based on their operating conditions, specific features and characteristics, all obtained from actual data. The above equations and related parameters were modeled in MATLAB/Simulink schematic under variations in temperature and slab thickness corresponding using three different hot-rolled (HR) steel specimens. This led to the creation of a pair of speed and torque- profiles with alternate polarities for successive passes covering the entire rolling process for each steel specimen. A fuzzy logic controller utilized the above profiles on the motor shaft by incorporating speed and current feedback loops to attain reference speed and calculation of instantaneous stator currents of the BLDC motor with respective phase sequences, so as to satisfy the torque-profile. Simulation results showing the detailed performance of the drive system are presented. Further, experimental work on a BLD-motor-drive system is presented, along with loading arrangements and an arm controller embedded with control algorithm for the multi-loop feedback system used for the closed loop speed control. The efficacy of the new applications proposed in this study for the first time can be seen from the validation of the results from the BLDC motor with its fuzzy-based controller in terms of simulation and hardware, thereby serving to be an attractive alternative to conventional induction motor drive systems for steel rolling.

INDUCTION MOTOR DRIVE SYSTEM WITH ADAPTIVE FUZZY LOGIC CONTROLLER

2009 ◽  
Vol 42 (13) ◽  
pp. 97-102
Author(s):  
Maha Khamis Al-Sulaiti ◽  
Haitham Abu-Rub ◽  
Hazem Nounou ◽  
Aeysha Al-Khuleifi ◽  
Amna Al-Motawa ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Fuzzy Logic Controller ◽  
Drive System ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Adaptive Fuzzy ◽  
Adaptive Fuzzy Logic ◽  
Motor Drive System

scholarly journals Performance & Analysis of Fuzzy Logic Controller Based Induction Motor Drive System Using Simulink

2014 ◽  
pp. 145-150
Author(s):  
Meenu Gupta ◽  
Reena Kamboj ◽  
Rinku Dhiman
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
High Performance ◽  
Fuzzy Logic Controller ◽  
Drive System ◽  
Voltage Source ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Voltage Source Inverter ◽  
Motor Drive System

Variable speed drives are growing and varying. Drives expanse depend on progress in different part of science like power system, microelectronic, control methods and so on. In this paper, the motor drive system comprises a voltage source inverter-fed induction motor (VSIM): namely a three-phase voltage source inverter and the induction motor. The squirrel-cage induction motor voltage equations are based on an orthogonal d-q reference-rotating frame where the co-ordinates rotate with the controlled source frequency. The paper presents a novel fuzzy logic controller for high performance induction motor drive system. The inputs to the fuzzy logic controller are the linguistic variables of speed error and change of speed error, while the output is change in switching control frequency of the voltage source inverter. In this paper a comparison between fuzzy logic controller and traditional PI controllers are presented. The results validate the robustness and effectiveness of the proposed fuzzy logic controller for high performance of induction motor drive. Simulink software that comes along with MATLAB was used to simulate the proposed model.

scholarly journals Hall-Sensor-Based Position Detection for Quick Reversal of Speed Control in a BLDC Motor Drive System for Industrial Applications

Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1149
Author(s):  
Mohanraj Nandakumar ◽  
Sankaran Ramalingam ◽  
Subashini Nallusamy ◽  
Shriram Srinivasarangan Rangarajan
Keyword(s):  
Direct Current ◽  
Rolling Process ◽  
Hall Sensor ◽  
Current Control ◽  
Drive System ◽  
Motor Drive ◽  
Steel Rolling ◽  
Position Detection ◽  
Finishing Mill ◽  
Motor Drive System

This paper proposes the novel idea of eliminating the front-end converters used indirect current (DC) bus voltage variation, thereby allowing for control of the speed of the brushless direct current (BLDC) motors in the two-quadrant operation of a permanent magnet brushless direct current (PMBLDC) motor, which is required for multiple bi-directional hot roughing steel rolling mills. The first phase of steel rolling, the manufacture of plates, strips etc., using hot slabs from the continuous casting stage, is carried out for thickness reduction, before the same is sent to the finishing mill for further mechanical processing. The hot roughing process involves applying high, compressive pressure, using a hydraulically operated mechanism, through a pair of backup rolls and work rolls for rolling. Overall, the processes consist of multiple passes of forward and reverse rolling at increasing roll speeds. The rolling process was modeled, taking into account parameters like roller dimensions, angle and length of contact, and rolling force, at various temperatures, using actual data obtained from a steel mill. From this data, speed and torque profiles at the motor shaft, covering the entire rolling process, were created. A profile-based feedback controller is proposed for setting the six-pulse inverter frequency and parameters of the pulse width modulated (PWM) waveform for current control, based on Hall sensor position, and the same is implemented for closed loop operation of the brushless direct current motor drive system. The performance enhancement of the two different controllers was also evaluated, during the rolling of 1005 hot rolled (HR) steel, and was taken into consideration in the research analysis. The entire process was simulated in the MATLAB/Simulink platform, and the results verify the suitability of an entire-drive system for industrial steel rolling applications.

scholarly journals A Novel Self-Tuning Fuzzy Logic Controller Based Induction Motor Drive System: An Experimental Approach

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 68172-68184 ◽  
Author(s):  
Nabil Farah ◽  
Md. Hairul Nizam Talib ◽  
Nor Shahida Mohd Shah ◽  
Qazwan Abdullah ◽  
Zulkifilie Ibrahim ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Fuzzy Logic Controller ◽  
Experimental Approach ◽  
Drive System ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Self Tuning ◽  
Motor Drive System
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