Discrete robust switched <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si0039.gif" overflow="scroll"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mo>∞</mml:mo></mml:mrow></mml:msub></mml:math> tracking state feedback controllers for lateral vehicle control

Menhour, Lghani; Koenig, Damien; d’Andréa-Novel, Brigitte

doi:10.1016/j.conengprac.2015.05.003

Cited by 10 publications

(2 citation statements)

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“…The double lane used in the test FIGURE 16 The side slip angle of the tested electric car running on the double lane with the designed controller and without controller FIGURE 17 The yaw rate of the tested electric car running on the double lane with the designed controller and without controller…”

Section: Figure 15mentioning

confidence: 99%

“…Therefore, lateral stability control is very important for the IEV-DFIM. Many researchers have studied the traditional engine vehicle lateral stability control methods and got lots of achievements such as H ∞ control method [15][16][17][18][19][20], sliding mode control method [21][22][23], optimal control method [24], nonlinear model predictive control method [25], neural networks optimal control method [26], fuzzy control method [27], and other methods [28][29][30]. There are also some achievements for EV in recent years.…”

Section: Introductionmentioning

confidence: 99%

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A homogeneous domination control method based on sampled‐data output feedback for lateral stability of an intelligent electric vehicle

Meng

Sun

Chen

2022

Asian Journal of Control

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Summary For easy analysis, most vehicle lateral stability control methods are usually based on a linear 2 degree‐of‐freedom (DOF) dynamic model in the published literature. Generally speaking, the linear 2DOF model cannot fully reflect the physical nonlinearity of the tire characteristics. The intelligent electric vehicle driven by four in‐wheel motors (IEV‐DFIM) requires a more accurate nonlinear tire model. Therefore, this paper presents a nonlinear 2DOF dynamic model for the IEV‐DFIM based on the well‐known magic formula. But the nonlinear model might cause the system to be uncontrollable around the origin. To address this issue, a novel homogeneous domination control method based on sampled‐data output feedback is proposed, which is capable of guaranteeing the lateral stability of the IEV‐DFIM under different operation conditions. A Lyapunov‐based analysis is performed to ensure the validity of the proposed method in theory. The simulation and test are also carried out to verify the effectiveness of the designed controller.

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Section: Figure 15mentioning

confidence: 99%