Comparison of feedback linearization and flatness control for anti-slip regulation (ASR) of an hybrid vehicle: From theory to experimental results

Chapuis, Cédric; Bideaux, Éric; Brun, Xavier; Minoiu-Enache, Nicoleta

doi:10.23919/ecc.2013.6669127

Cited by 12 publications

(5 citation statements)

References 9 publications

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“…Most of them are functions of the slip ratio using nonlinear relationships, however these models are hardly usable for model based control, since they leeds to very complex models. The adhesion coefficient is assumed in some research works to be proportional to the slip ratio [14], but this assumption leads to a linear model which is only valid for small values of the slip ratio. Hence, for large slip ratio, a nonlinear model must be considered.…”

Section: State Space Modelmentioning

confidence: 99%

Traction control system using a fuzzy representation of the vehicle model

Dahmani

Pagès

2015

2015 American Control Conference (ACC)

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In this paper, a traction control system has been designed in order to improve vehicle traction on slippery roads. First, a nonlinear model has been formulated from the vehicle longitudinal dynamics, the drivetrain model and the wheel motion. Then, a Takagi-Sugeno (TS) fuzzy representation has been proposed in order to take into account the nonlinearities of the obtained model and to simplify the controller design. Based on the obtained TS model, a proportional integral (PI) state feedback controller has been developed. The objective is to compute the optimal engine torque so that the longitudinal slip ratio does not exceed a desired value which is the limit of the optimal traction and the vehicle stability. Lypunov and H ∞ approaches have been used in the controller design and stability conditions are given in terms of Linear Matrix Inequalities (LMI). In order to show the effectiveness of the developed approaches, the vehicle model has been simulated on a slippery road with and without the traction control system.

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Section: State Space Modelmentioning

confidence: 99%

Traction control system using a fuzzy representation of the vehicle model

Dahmani

Pagès

2015

2015 American Control Conference (ACC)

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“…More research on single-phase inverters with different topologies and different controllers have been published [1] [2][3] [4]. Other publications have compiled comparative performance between PID and fuzzy logic controllers and between a PI controller, a linearizing feedback and a flatness based control used in hybrid vehicle [5] [6].…”

Section: Introductionmentioning

confidence: 99%

The Performance comparative of Backstepping, Sliding Mode and PID controllers designed for a single-phase inverter UPS

Majdoul

Abdelmounim

Mohamed

et al. 2014

2014 International Conference on Multimedia Computing and Systems (ICMCS)

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This paper focuses on the problem of controlling a single phase DC-AC switched power converter used in Uninterruptible Power Supply (UPS). The control objective is to generate, at the system output, a sinusoidal voltage with amplitude and frequency fixed by the reference signal. To this end, three types of regulators are designed based on Backstepping technique, Sliding Mode approach and linear PID controller. A comparative study of performances of designed controllers is made by simulations in Matlab/Simulink environment.

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“…Different control schemes for the control of inverters in the grid are provided in the relevant literature. In the study [4], a proportional derivative (PD) controller with a proportional integral (PI) controller structure for the photovoltaic (PV) system is presented. The controller detects a voltage reference that shows with the specified error and the algorithm for maximum detection of the P, Q point of power.…”

Section: Introductionmentioning

confidence: 99%

Design of a new backstepping controller for control of microgrid sources inverter

Zadehbagheri

Kiani

Sutikno

et al. 2022

IJECE

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<p><br />Emergency power supply is becoming an important capability for many home or industrial electronic and computer devices. Therefore, the performance of the designed unintermptible power supplies (UPS) inverters has low distortion at the output voltage. Initially, such inverters were controlled by proportional integral (PI) control classic rules. This method is difficult to understand the limitations of stability and to apply transient response to strong external disturbances. In this paper, an inverter is simulated and offered for single-phase and three-phase voltage controlled by a non-linear controller. For this purpose, a comparison has been made between the controller performance and the PI controller. In the first step, there is a backstepping regulator that uses the stability tool next to the Lyapunov function. And the other regulator operates according to the PI method. The performance of these two regulators is simulated during a change in reference or a load change in MATLAB. Also, a method of feedback voltage control based on the Lyapunov theory for controlling of the distributed generation (DG) unit independent Inverter is presented. The proposed controller is not only simple, but also against the sudden changes in load and the unspecified system is resistant.</p>

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Comparison of feedback linearization and flatness control for anti-slip regulation (ASR) of an hybrid vehicle: From theory to experimental results

Cited by 12 publications

References 9 publications

Traction control system using a fuzzy representation of the vehicle model

Traction control system using a fuzzy representation of the vehicle model

The Performance comparative of Backstepping, Sliding Mode and PID controllers designed for a single-phase inverter UPS

Design of a new backstepping controller for control of microgrid sources inverter

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