Genetic algorithm induction motor

Author: jbew

August undefined, 2024

WebJan 30, 2024 · A hybrid algorithm between Grey Wolf Optimization and Cuckoo Search algorithms to find the parameters of induction motors gives a smaller objective value and closer torque value to the manufacturer’s data than the GWO algorithm and several algorithms for motor 1. This study investigates a hybrid algorithm between Grey Wolf … WebInduction motors are an indispensible commodity in modern manufacturing and service industries. These motors are reliable, rugged, and require negligible maintenance. However, due to undue thermal mechanical and electrical stresses, these may fail prematurely. An induction motor applied for critical application, if fails may cause loss …

Design Optimization of Induction Motor Using On-Line Improved …

WebMay 12, 1999 · Niching methods extend genetic algorithms to the domain that require the location and maintenance of multiple solutions. In this paper, optimal design of induction … WebAug 27, 2015 · The novelty lies in combining a motor design program and employing a H ybrid Genetic Algorithm (HAGs) technique to obtain the maximum of objective … coiled snake stainless steel ring

Identification of Induction Machine Electrical Parameters …

WebNov 9, 2008 · This paper presents a novel method for in situ induction motors efficiency estimation by applying the genetic algorithm and utilizing IEEE Form F2-Method F1 … WebDec 31, 2024 · The main objective of this work is the application of a new architecture of genetic algorithms to the induction machine design in order to improve their … WebMar 1, 2016 · In [18], a new method to estimate the electrical parameters in a three-phase induction motor equivalent circuit has been presented using the genetic algorithm (GA). Also, in [19] the artificial bee colony (ABC) algorithm has been proposed and compared with the various recently methods for the parameters estimation of the induction motors. coiled shoelaces

Parameter Identification of Induction Motors SpringerLink

Optimal PID controller of a brushless dc motor using genetic …

WebMar 1, 2024 · genetic algorithm, in artificial intelligence, a type of evolutionary computer algorithm in which symbols (often called “genes” or “chromosomes”) representing … WebDec 1, 2006 · The optimally designed motor is compared with an existing motor having the same ratings. The Genetic Algorithm is used for … dr kevin paley tipp city ohWebNov 11, 2024 · Abstract. This paper presents methods for estimating induction motor parameters such as stator resistance, stator inductance, rotor inductance, rotor time constant… by artificial neural network (ANN) and genetic algorithm (GA). The first part is the mathematical basis for estimating motor parameters by neural and genetic … coiled serpent pdf

"WebMay 24, 2024 · For that, this work describes a new approach for DTC of the Doubly Fed Induction Motor (DFIM) powered by two voltage inverters, using a PID controller for the regulation speed, based on a Genetic Algorithm (GA), which has been proposed for adjustment and optimizing the parameters of the PID controller, using a weighted … " - Genetic algorithm induction motor

Genetic algorithm induction motor

Optimization of Induction Motor Using Genetic Algorithm and GUI …

WebMay 7, 2024 · Abstract: This study investigates the application of a multiobjective genetic algorithm for the obtaining of a set of weighting factors suitable for use in the model predictive torque control (MPTC) of an induction motor variable speed drive. The MPTC approach aims at minimizing a cost function at each step and has been highlighted for its … Web(DTC) scheme applied on an induction motor. The first method applies off-line genetic algorithm (GA) strategies and the other one makes use of an online Fuzzy Logic (FL) tuning scheme. DTC is then tested with the two schemes for two cases, with normal operating conditions and with a sudden change in load torque applied to the motor.

Did you know?

WebDec 1, 2006 · This paper presents an optimal design method to optimize three-phase induction motor in manufacturing process. The optimally designed motor is compared with an existing motor having the same ratings. The Genetic Algorithm is used for optimization and three objective functions namely torque, efficiency, and cost are considered. WebAbstract: To overcome the limitations that active disturbance rejection control (ADRC) system of a bearingless induction motor (BIM) has difficulty in tuning parameters depending on experience to select parameters, an ADRC strategy based on improved particle swarm optimization-genetic algorithm (IPSO-GA) is proposed. Based on the …

WebJul 24, 2014 · In this paper, hybrid of genetic algorithm and particle swarm optimization method for parameter estimation of a three-phase induction motor using steady-state …

WebMar 28, 2024 · As such, this paper proposes a hybrid motor-current data-driven approach that utilizes statistical features, genetic algorithm (GA) and machine learning models for … WebApr 1, 2009 · Due to getting perfect efficiency of the submersible induction motor, a robust hybrid evolutionary optimization technique, which consists of a genetic algorithm and simulated annealing, is used.

WebInduction motors are work-horse of the industry and major element in energy conversion. The replacement of the existing non-adjustable speed drives with the modern variable …

WebThe proposed method is a combination of symmetrical uncertainty and a genetic algorithm ( SU -GA). In this study, feature selection is implemented on four different conditions of … coiled roofing nailerWebAug 2, 2024 · This study presents analysis, control and comparison of three hybrid approaches for the direct torque control (DTC) of the dual star induction motor (DSIM) drive. Its objective consists of combining three different heuristic optimization techniques including PID-PSO, Fuzzy-PSO and GA-PSO to improve the DSIM speed controlled loop … dr kevin paley orthopedic surgeonWebGenetic Algorithm (OGA) is the one of the machine learning algorithms. An optimized genetic algorithm is a search heuristic method that uses the selection, crossover and mutation to create new genotype for finding the optimal solution. 3.2 Optimized Genetic Algorithm (OGA) In OGA, optimum design of induction motor is a non- dr. kevin paley orthopedicWebThe Induction Motor Parameter Estimation Using Genetic Algorithm @article{ZambotiFortes2013TheIM, title={The Induction Motor Parameter Estimation Using Genetic Algorithm}, author={Marcio Zamboti Fortes and Vitor Hugo Ferreira and Alex Palma Francisco Coelho}, journal={IEEE Latin America Transactions}, year={2013}, … coiled snake logoWebMar 31, 2024 · The use of the genetic algorithm for in situ efficiency measurement of an induction motor. In Proc. IEEE Power Eng. Soc. Winter Meet, 2000, pp. 392–397. [5] Phumiphak P and Chat-uthai C. Nonintrusive method for estimating field efficiency of inverter-fed induction motor using measured values. coiled snake ring dark soulsWebA cost effective off-line method for equivalent circuit parameter estimation of an induction motor using hybrid of genetic algorithm and particle swarm optimization (HGAPSO) is proposed. The HGAPSO inherits the … coiledspring games limitedWebInduction motors are work-horse of the industry and major element in energy conversion. The replacement of the existing non-adjustable speed drives with the modern variable frequency drives would save considerable amount of electricity. ... Optimal PID controller of a brushless DC motor using genetic algorithm (Muhammed A.Ibrahim) 828 ISSN ... coiled spring gif