Real time simulation of multiphase induction motor for electric vehicle using RT-Lab

Gor, Chandani; Gupta, Prankit; Shah, Varsha A.; Lokhande, Makarand M.

doi:10.1109/iecon.2017.8217160

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…() ft is the position of search agent. The ( 1) ft is the fitness value of any specific agent that how closer it is from the goal. It is used to further generate the next iteration search positions.…”

Section: (35) P P B P mentioning

confidence: 99%

“…Extensive research has been done on proper selection of electric propulsion drive. The higher phase (more than 3 phases) induction motors can be the preferable selection as a propulsion drive of electric vehicle [1]. For the reliable operation in fault tolerant mode, three phase counterpart results into over dimensioned size with increased cost [2].…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Performance Enhancement and Comparative Analysis of Fault Tolerant Five Phase Induction Motor using PSO and GWO Algorithms

Gor¹,

Shah²

2020

International Journal of Engineering Research and Technology

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The multiphase induction motor is a highly preferable choice for the electric vehicle application where the reliability and safety of passengers are one of the major concerns. In such safety critical applications, it is necessary to have the smooth speed transition under the occurrence of fault with minimum disturbance in the system. Therefore this paper proposes GWO (Grey Wolf Optimization) based optimal speed controller, which deals with fault tolerant mode of operation in rotor field oriented controlled (RFOC) five phase induction motor (FPIM). In this paper an open phase fault on FPIM is considered due to leg switches failure in the power electronic converter. It is modeled by applying back EMF calculation in faulty phase, which minimizes the controller reconfiguration under fault. The motive of the paper is to optimize the speed controller gains to enhance the controller performance against the uncertainties of fault occurrence and application of fault tolerant technique in FPIM. Hence this work proposes an application of GWO (Grey Wolf Optimization) algorithm to finely tune speed controller gains which will generate optimal torque reference under all such disturbances. The superiority of algorithm is proved by comparing its performance with standard PSO (Particle swarm optimization) algorithm under healthy, faulty and fault tolerant modes of operations. The comparative analysis of both the algorithms is presented considering their convergent time, number of parameters needed as well as time response parameters and calculation of various performance indices under different modes of operations. The simulation results and comparative analysis prove the effectiveness of GWO algorithm to enhance different speed tracking performances under healthy, faulty and fault tolerant modes of operation.

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Section: (35) P P B P mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic Performance Enhancement and Comparative Analysis of Fault Tolerant Five Phase Induction Motor using PSO and GWO Algorithms

Gor¹,

Shah²

2020

International Journal of Engineering Research and Technology

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Low-Order Space Harmonic Modeling of Asymmetrical Six-Phase Induction Machines

et al. 2019

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Multiphase machines are commonly analyzed using vector space decomposition modeling technique, where the original phase variables are decomposed into multiple orthogonal subspaces. The machine torque production and, therefore, its dynamic response are mainly decided from the α-β fundamental subspace. In the available literature, other non-fundamental subspaces are commonly regarded as the non-flux/torque producing subspaces while mainly contributing to the extra winding joule losses. Although the primitive harmonic-free models are usually assumed for these secondary subspaces in the asymmetrical six-phase induction machines, a clear evidence to include or discard the effect of the low-order space harmonics of the air gap flux distribution under different neutral configurations has not been established so far. To this end, this paper investigates the effect of the induced air gap harmonics mapped to the x-y and zero subspaces on the dynamic modeling and, hence, the dynamic response of an asymmetrical six-phase induction machine. An improved space harmonic model is, then, proposed to better explore/simulate their effect under both healthy as well as fault conditions. The proposed model is experimentally validated using a 1.5-kW prototype induction machine.

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Modelling, Analysis And Control of Five Phase Induction Motor Drive under Open Circuit Fault for Electric Vehicle

Gor

Shah

2019

2019 IEEE 1st International Conference on Energy, Systems and Information Processing (ICESIP)

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Real time simulation of multiphase induction motor for electric vehicle using RT-Lab

Cited by 5 publications

References 7 publications

Dynamic Performance Enhancement and Comparative Analysis of Fault Tolerant Five Phase Induction Motor using PSO and GWO Algorithms

Dynamic Performance Enhancement and Comparative Analysis of Fault Tolerant Five Phase Induction Motor using PSO and GWO Algorithms

Low-Order Space Harmonic Modeling of Asymmetrical Six-Phase Induction Machines

Modelling, Analysis And Control of Five Phase Induction Motor Drive under Open Circuit Fault for Electric Vehicle

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