Fuzzy logic control of electric vehicles: Design and analysis concepts

Makrygiorgou, Jemma J.; Alexandridis, Antonio T.

doi:10.1109/ever.2017.7935881

Cited by 9 publications

(3 citation statements)

References 13 publications

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“…The literature is currently available and covers a wide range of control schemes. These include classical control laws [2,3], more advanced algorithms such as nonlinear control [4,5], fuzzy logic control [6][7][8][9], sliding mode control [10][11][12][13], backstepping control [14][15][16], and 𝐻∞ control [17,18]. Each of these strategies offers its own benefits and has been explored in various studies to optimize the performance of electric vehicles.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Linear and Nonlinear H-Infinity Control for an Electric Vehicle

Oudjama,

Boumediene,

Saidi

et al. 2023

JESA

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Permanent magnet synchronous motor-powered electric vehicles control is the subject of various research work. However, their global dynamic models are nonlinear and coupled. Therefore, to achieve efficient operation, an effective control system is crucial. In this study, we propose and compare linear H-Infinity and Galerkin approximation approach for Nonlinear H-Infinity control strategies to improve the durability and performance of post-driven speed in electric vehicles. In the case of linear systems, the linear H-Infinity controller is found by solving the algebraic equation known as the Riccati equation. On the other hand, the control problem based nonlinear H-Infinity poses challenges because it involves solving a nonlinear partial differential equation known as name of the Hamilton-Jacobi-Isaacs equation, which is difficult or even impossible to solve by using analytical methods. In these situations, the Galerkin approximation approach provides an approximation to the Hamilton-Jacobi equation solution. In order to evaluate the performance of Galerkin approximation approach and linear H-Infinity controllers, electric vehicle feedback simulations will be conducted, taking into account different constraints. The goal is to ensure efficient operation in different situations. The results demonstrate that the Galerkin approximation Approach for nonlinear H-Infinity controller reveals a similar performance and durability as the H-Infinity controller, and stands out for its ability to optimize the control system performance of the EV, providing a faster response, reducing undesirable ripples, and enhancing overall stability and precision. Generally, this comparative study brings to light the effectiveness of linear and Galerkin approximations for H-Infinity control in permanent magnet synchronous motor-powered electric vehicles. The results contribute to the advancement of control strategies and provide valuable information for the conception and employment of efficient electric vehicle control systems.

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Section: Introductionmentioning

confidence: 99%

Comparative Study of Linear and Nonlinear H-Infinity Control for an Electric Vehicle

Oudjama,

Boumediene,

Saidi

et al. 2023

JESA

View full text Add to dashboard Cite

show abstract

“…The majority of the control strategies proposed for EVs mostly focus on system optimization [15,16] and on holistic management techniques [17][18][19]. In the field of dynamic control designs, different schemes based on conventional linear or nonlinear techniques, such as sliding mode and intelligent control techniques, are proposed [20][21][22][23][24][25][26][27][28][29]. In most of them, however, the dynamics and the stability of the whole system are not investigated; only in [26] an attempt that combines fuzzy logic control with the property of input-to-state stability of the complete nonlinear system is presented.…”

Section: Introductionmentioning

confidence: 99%

“…In the field of dynamic control designs, different schemes based on conventional linear or nonlinear techniques, such as sliding mode and intelligent control techniques, are proposed [20][21][22][23][24][25][26][27][28][29]. In most of them, however, the dynamics and the stability of the whole system are not investigated; only in [26] an attempt that combines fuzzy logic control with the property of input-to-state stability of the complete nonlinear system is presented. Certainly, various attempts concentrate on dynamics and stability of only some special system parts; in this frame, special attention has been given to applying different control techniques for the PMSM speed regulation [30][31][32][33][34] and on the batteries modeling and control [35,36].…”

Section: Introductionmentioning

confidence: 99%

Power Electronic Control Design for Stable EV Motor and Battery Operation during a Route

Makrygiorgou

Alexandridis

2019

Energies

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Electric vehicles (EVs), during a route, should normally operate at the desired speed by effectively controlling the power that flows between their batteries and the electric motor/generator. To implement this task, in this paper, the voltage source AC/DC converter is considered as a controlled power interface between the electric machine and the output of the DC storage device; the DC/DC converter is used to automatically regulate the battery operating condition in accordance to the profile of the acting on the vehicle wheels, unknown external torque. Particularly, the speed is continuously regulated by the vehicle driver via the pedal while all other regulations for absorbing or regenerating energy are internally controlled. The driver command is acting as speed reference input on a PI outer-loop motor speed controller which, in its turn, drives a fast P inner-loop current controller operating in cascaded mode. In a similar manner, the machine and the battery performance are self-regulated by a pure PI current controller that achieves maximum electric torque per ampere operation of the motor and by a PI/P cascaded scheme for the DC-voltage/battery–current regulation, respectively. In order to exclude any possibility of instabilities and adverse impacts between the different parts, a rigorous analysis is deployed on the complete electromechanical system that involves the motor, the batteries, the converter dynamic models and the proposed controllers. Modeling the system in Euler–Lagrange nonlinear form and applying sequentially suitable Lyapunov techniques and the time-scale separation principle, a systematic method for tuning the gains of the inner- and outer-loop controllers is derived. Therefore, the proposed controller design procedure guarantees asymptotic stability by considering the accurate system model as a whole. Finally, the proposed approach is validated by simulating realistic route conditions, performed under unknown external torque variations.

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A comprehensive review on fuzzy logic control systems for all, hybrid, and fuel cell electric vehicles

Beşkardeş,

Hameş,

Kaya

2024

Soft Comput

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Fuzzy logic control of electric vehicles: Design and analysis concepts

Cited by 9 publications

References 13 publications

Comparative Study of Linear and Nonlinear H-Infinity Control for an Electric Vehicle

Comparative Study of Linear and Nonlinear H-Infinity Control for an Electric Vehicle

Power Electronic Control Design for Stable EV Motor and Battery Operation during a Route

A comprehensive review on fuzzy logic control systems for all, hybrid, and fuel cell electric vehicles

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