Fault-Tolerant Control Based on Sliding Mode Controller for Double-Star Induction Machine

Layadi, Noureddine; Djerioui, Ali; Zeghlache, Samir; Mekki, H.; Houari, Azeddine; Gong, Jinlin; Berrabah, Fouad

doi:10.1007/s13369-019-04120-1

Cited by 9 publications

(5 citation statements)

References 27 publications

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“…This approach is based on defining a sliding surface based on key properties such as existence, convergence, and stability. These properties act as constraints, ensuring system robustness against disturbances and uncertainties during the operation of the electric vehicle [28][29][30].…”

Section: Control Principlementioning

confidence: 99%

Sliding Mode Control of an Electric Vehicle Driven by a New Powertrain Technology Based on a Dual-Star Induction Machine

Benbouya,

Cheghib,

Chrenko

et al. 2024

WEVJ

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This article examines a new powertrain system for electric vehicles based on the dual-star induction machine, presented as a promising option due to its significant advantages in terms of performance, energy efficiency, and reliability. This system could play a key role in the evolution of electro-mobility technology. The dual-star induction machine reduces electromagnetic torque fluctuations, limits current harmonics, improves power factor, and enables half-speed operation. Our study focuses on the control strategy and operation of the traction chain for electric vehicles propelled by the dual-star induction machine (DSIM) using Matlab software with version 2017. We integrate the battery as the main energy source, along with three-level static converters for energy conversion in the vehicle’s four operating quadrants. We have opted for sliding mode control, which has proven to be feasible and robust against external disturbances. Although we have modeled driver behavior, we consider it as an aspect of control, to which we add the driving profile to guide our evaluation of the control to be used for vehicle operation. The results of our study demonstrate the reliability and robustness of DSIM for electric vehicle motorization and speed control. Promoting this technology is essential to improve the overall performance and efficiency of electric vehicles, especially in traction and braking modes for energy recovery. This underscores the importance of DSIM in the sustainable development of the electric transportation system.

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Section: Control Principlementioning

confidence: 99%

Sliding Mode Control of an Electric Vehicle Driven by a New Powertrain Technology Based on a Dual-Star Induction Machine

Benbouya,

Cheghib,

Chrenko

et al. 2024

WEVJ

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show abstract

“…In this approach, inverter commutations are determined based on the output information of two hysteresis regulators (torque and flux) and the position of the stator flux. However, due to these regulators, the frequency of power switch control is not constant these results in a spectrum with rich harmonic content, leading to increased losses in the machine [10] [9].…”

Section: Introductionmentioning

confidence: 99%

Investigation of predictive direct torque control of Double Star permanent magnet synchronous machine (DSPMSM)

Ghibeche,

Kouzi,

Difi

et al. 2024

SEES

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In order to enhance the performance of Direct Torque Control (DTC) applied to a double-star permanent magnet synchronous machine (DSPMSM) in termes to reduce the ripples of torque and current, in this work we propose a Predictive DTC Control for DSPMSM. The primary objective of this control approach is to eliminate the hysteresis controllers and vector selection table commonly found in conventional DTC, addressing associated issues. This innovative strategy relies on Proportional-Integral (PI) controllers and Predictive Control, with both inverters operating at a constant frequency. In the proposed Predictive DTC Control, the predictive model is used to forecast the future behavior of the machine’s torque and current. This allows the control system to make more informed decisions regarding the optimal voltage vectors to apply, minimizing ripples and enhancing the dynamic response. The simulation results, obtained from Matlab/Simulink, demonstrate a significant improvement in the performance of the DSPMSM when using the proposed method. Key metrics such as torque ripple, current ripple, and overall system efficiency were analyzed, showing favorable outcomes compared to conventional DTC methods. The study underscores the potential of predictive control in advancing the performance of DTC systems for DSPMSMs. By leveraging the capabilities of predictive modeling and PI controllers, the proposed method not only addresses the limitations of conventional DTC but also paves the way for more advanced and reliable control strategies in electric drive applications. The findings suggest that the implementation of Predictive DTC Control could lead to more robust and efficient motor drives, which are critical for various industrial applications requiring precise and stable torque control.

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“…The control problems were related to actuator failure [4] or sensor failure [11], actuator fault [6], [7], actuator and sensor faults with external disturbance [9], and simultaneous occurrence of actuator/sensor faults [10]. Besides tackling the actuator and sensor faults, FTC was used to handle noise and disturbance [5] or the stator and rotor faults in induction machines [8]. These show the applicability and effectiveness of fault-tolerant controllers in solving engineering problems.…”

Section: Introductionmentioning

confidence: 99%

Actuator and Sensor Fault Compensation Using Proportional-Proportional Integral Observer for Fuzzy Tracking Control of Pendulum-Cart System

Agustinah

Ardiansyah²,

Rizal³

2023

Jurnal Teknologi

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The pendulum-cart system is a popular system plant as a case study in nonlinear control design and implementation. The controllability and system performance can be influenced by the effectivity of the actuator and sensor. However, actuator and sensor fault sometimes is inevitable and can be occurred during operation. This paper considers fault-tolerant control (FTC) to minimize the actuator and sensor fault. The control objective is to track the sinusoidal reference position of the cart while the pendulum is maintained upright in which the faulty actuator and sensor occurred. Takagi-Sugeno (T-S) fuzzy tracking control is designed based on a compensator scheme where the Proportional-Proportional Integral Observer (PPIO) is utilized for this scheme. The Linear Matrix Inequalities (LMIs) are used to calculate the controller and observer gains. The performance of the proposed controller is verified through simulation and experimental validation. The effectiveness of FTC in the case of actuator and sensor fault is given. The system responses for the compensated and uncompensated controllers (to track the reference signal) are compared. In the case of a sensor fault, only the compensated controller can converge to the reference signal. However, in the case of actuated fault, both compensated and uncompensated controllers converge to the reference signal but the error of the compensated controller is better than the other one.

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Fault-Tolerant Control Based on Sliding Mode Controller for Double-Star Induction Machine

Cited by 9 publications

References 27 publications

Sliding Mode Control of an Electric Vehicle Driven by a New Powertrain Technology Based on a Dual-Star Induction Machine

Sliding Mode Control of an Electric Vehicle Driven by a New Powertrain Technology Based on a Dual-Star Induction Machine

Investigation of predictive direct torque control of Double Star permanent magnet synchronous machine (DSPMSM)

Actuator and Sensor Fault Compensation Using Proportional-Proportional Integral Observer for Fuzzy Tracking Control of Pendulum-Cart System

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