Modelling, Simulation and Analysis of Indirect Space Vector Control of Electric Vehicle Driven by Permanent Magnet Synchronous Motor with Fuzzy Controller

Yalavarthy, Uma Ravi Sankar; Gadi, Venkata Siva Krishna Rao

doi:10.18280/mmep.090231

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…where is the electromagnetic torque and p is the number of pole pairs. The motor's motion equation is represented by the following expression ( 5): (5) where J is the motor moment of inertia, is the mechanical speed, T L is the load torque and B is the friction coefficient.…”

Section: A Pmsm Mathematical Modelmentioning

confidence: 99%

“…According to the literature, various techniques for achieving more robust control in PMSMs have been proposed by researchers using different approaches. These approaches include the use of fuzzy controller [3][4][5] and Finite Control Set-Model Predictive Controller (FCS-MPC) [6]. Another more promising approach to achieve robust control of synchronous machines is to integrate Neural Networks with other control techniques such as PI and fuzzy controllers [7].…”

Section: Introductionmentioning

confidence: 99%

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Comparative Investigation of DSP-Based Speed Control of PMSM Using Proportional Integral and Takagi-Sugeno Fuzzy Logic Controller

Askour

2024

IJEETC

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This paper presents the simulation and experimental results of speed control of a three-phase Permanent Magnet Synchronous Motor (PMSM). The control techniques employed in this work include a Proportional Integral (PI) controller and a Takagi-Sugeno Fuzzy Logic Controller (TS-FLC). While theory and simulation help in predicting the PI controller settings for real drive implementation, further adjustment of the PI controller coefficients is still needed for optimal performance. However, the complexity of PI controller tuning can be overcome by employing a fuzzy logic controller, which is less affected by variations in model parameters and load torque. Two variants of the proposed TS-FLC are implemented: a simple algorithm with 9 rules and a standard algorithm with 49 rules. The drive system utilizes Field Oriented Control (FOC). The control program is developed using the C/C++ programming language and executed on the Texas Instruments TMS320LF28335 Digital Signal Processor (DSP), known for its intelligent motor control capabilities. The drive system evaluation was performed through simulations and experimentation using the MCK28335 professional development kit provided by Technosoft Company. The simulation and experimental results of the proposed controllers are compared under various conditions, including speed reversal and load torque variations.

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Section: A Pmsm Mathematical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparative Investigation of DSP-Based Speed Control of PMSM Using Proportional Integral and Takagi-Sugeno Fuzzy Logic Controller

Askour

2024

IJEETC

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“…State domain equations have been extensively used in the literature to solve various engineering control problems [31,32].…”

Section: State Equations and Their Numerical Solutionmentioning

confidence: 99%

State-Domain Equations and Their Quantum Computing Solution Based HHL Algorithm

Boudjoghra¹,

Daimellah²,

Zioui³

et al. 2022

MMEP

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Quantum computing is becoming a major new field in engineering. Adaptation of classical computation concepts to this emerging technological reality is underway. In this study, a sampling-based approach is used to adapt state-domain equations to HHL-based formulation to obtain a homologous quantum algorithm for solving the dynamic equations in the state domain. The results obtained by the quantum computing approach are very close to the real response of the system and to the power-series-based exact solution. This work represents a significant contribution to the advancement of dynamic systems modeling and solving in state-domain adapted for use in quantum computers in the future.

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Chebyshev polynomials based compensator design via higher order sinusoidal input describing functions in traction motor drive to improve performance of electric vehicle

Kaptan,

Ucun,

Ucun

2023

Proceedings of the Institution of Mechanical Engineers, Part D:

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In electric vehicles (EVs), the efficient selection of the basic elements and the control of the electric motor and the overall system is vital to extend the performance of the vehicle. A feedback control loop with proportional-integral (PI) controllers is usually used in the control of electric motors. Within the scope of this study, the system is handled with frequency-based methods and it is aimed to reduce the performance degrading effect on the system output. In this study, Higher Order Sinusoidal Input Describing Functions (HOSIDFs) are used in order to improve the performance of EVs. Here, the EV is modeled as a Lur’e-type system and a compensator is designed within the PI speed control loop of the electric motor by using Chebyshev polynomials. The optimal coefficients of the Chebyshev polynomials-based compensator minimize the cost function which is related to the harmonics of the system output. This work introduces a novel approach for controlling the traction motor of EVs using a frequency-based method through HOSIDFs. The objective is to enhance the performance of the drive system. Throughout this study, it is also aimed to improve the consumption of the battery and passenger comfort. The results and success of the proposed method are illustrated in time-domain and harmonic plots.

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Modelling, Simulation and Analysis of Indirect Space Vector Control of Electric Vehicle Driven by Permanent Magnet Synchronous Motor with Fuzzy Controller

Cited by 4 publications

References 22 publications

Comparative Investigation of DSP-Based Speed Control of PMSM Using Proportional Integral and Takagi-Sugeno Fuzzy Logic Controller

Comparative Investigation of DSP-Based Speed Control of PMSM Using Proportional Integral and Takagi-Sugeno Fuzzy Logic Controller

State-Domain Equations and Their Quantum Computing Solution Based HHL Algorithm

Chebyshev polynomials based compensator design via higher order sinusoidal input describing functions in traction motor drive to improve performance of electric vehicle

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