Performance Comparison between Conventional and Robust Control for the Powertrain of an Electric Vehicle Propelled by a Switched Reluctance Machine

Saadi, Yakoub; Sehab, Rabia; Chaibet, Ahmed; Boukhnifer, Moussa

doi:10.1109/vppc.2017.8330930

Cited by 5 publications

(8 citation statements)

References 11 publications

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“…For velocity or torque control, different control strategies are suggested [12]. Direct and indirect torque control are among the control strategies.…”

Section: Srm Control Strategymentioning

confidence: 99%

“…Direct and indirect torque control are among the control strategies. The control strategy selected for the velocity control is based on two cascade control loops: velocity and current loops [12]. Figure 4 shows the block diagram of this control strategy.…”

Section: Srm Control Strategymentioning

confidence: 99%

“…Based on the control strategy given by Figure 4, PI, SMC, and STSMC controllers are designed for velocity and current control loops. SMC and STSM are developed separately for current and velocity control loops in [12] using the nonlinear model of the SRM given in Section 2.…”

Section: Srm Control Strategymentioning

confidence: 99%

“…Consequently, the design of the controllers is tedious [11]. Because of the high requirements of drivability for electric vehicles, the control of speed and torque is an important issue [12].…”

Section: Introductionmentioning

confidence: 99%

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Super-Twisting Sliding Mode Control to Improve Performances and Robustness of a Switched Reluctance Machine for an Electric Vehicle Drivetrain Application

2023

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In electric vehicles, performances of electric vehicle drivetrains depend on the electric machine and the control. Switched Reluctance Machines (SRMs) are today an alternative to rare earth magnets machines such as Permanent Magnet Synchronous Machine (PMSM), which is used in the vehicle drivetrain. Because of its high nonlinear behavior, the classical control designed for SRMs is not sufficient to obtain good performances. The objective of this paper is to make performance and robustness comparisons of the designed robust controllers considering the high nonlinear behavior of SRMs. Sliding Mode Control (SMC) and Super-Twisting Sliding Mode Control (STSMC) are developed and validated by simulation for the velocity control loop and the current control loops of the control strategy. However, an evaluation of their performances compared to classical control based on PI controllers is carried out. For a robustness comparison, a variation of SRM parameters is carried out by simulation using the three controllers. Finally, an experimental validation on a developed test bench using the three controllers is conducted to show that Super-Twisting Sliding Mode Control (STSMC) is the best in terms of performances and robustness for an electric vehicle application.

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“…For velocity or torque control, different control strategies are suggested [12]. Direct and indirect torque control are among the control strategies.…”

Section: Srm Control Strategymentioning

confidence: 99%

Section: Srm Control Strategymentioning

confidence: 99%

Section: Srm Control Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Super-Twisting Sliding Mode Control to Improve Performances and Robustness of a Switched Reluctance Machine for an Electric Vehicle Drivetrain Application

2023

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“…It is noteworthy that the use of SRMs in traction of electric vehicles is gaining ground [21][22][23][24][25][26]. Actually such motors are less costly, less prone to failure and more convenient to install and maintain than Permanent Magnet motors [27][28][29][30][31]. However, it should not be overlooked that due to the nonlinearities in SRMs electric dynamics induced by the simultaneous activation of several stator phases, the control of these motors remains an open and challenging problem [32][33][34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear H-infinity control for switched reluctance machines

Rigatos

Siano

Ademi

2019

Nonlinear Engineering

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The article proposes a nonlinear H-infinity control method for switched reluctance machines. The dynamic model of the switched reluctance machine undergoes approximate linearization round local operating points which are redefined at each iteration of the control algorithm. These temporary equilibria consist of the last value of the reluctance machine’s state vector and of the last value of the control signal that was exerted on it. For the approximate linearization of the reluctance machine’s dynamics, Taylor series expansion is performed through the computation of the associated Jacobian matrices. The modelling errors are compensated by the robustness of the control algorithm. Next, for the linearized equivalent model of the reluctance machine an H-infinity feedback controller is designed. This requires the solution of an algebraic Riccati equation at each time-step of the control method. It is shown that the control scheme achieves H-infinity tracking performance, which implies maximum robustness to modelling errors and external perturbations. The stability of the control loop is proven through Lyapunov analysis.

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Torque Ripple Minimization Scheme of Synchronous Reluctance Machine for Electric Vehicle

Aladetola,

Ouari,

Saadi

et al. 2023

2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)

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Performance Comparison between Conventional and Robust Control for the Powertrain of an Electric Vehicle Propelled by a Switched Reluctance Machine

Cited by 5 publications

References 11 publications

Super-Twisting Sliding Mode Control to Improve Performances and Robustness of a Switched Reluctance Machine for an Electric Vehicle Drivetrain Application

Super-Twisting Sliding Mode Control to Improve Performances and Robustness of a Switched Reluctance Machine for an Electric Vehicle Drivetrain Application

Nonlinear H-infinity control for switched reluctance machines

Torque Ripple Minimization Scheme of Synchronous Reluctance Machine for Electric Vehicle

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