Comments on "Optimal Fault-Tolerant Path-Tracking Control for 4WS4WD Electric Vehicles

Potluri, Ramprasad

doi:10.1109/tits.2010.2095460

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…A PID (Proportion Integration Differentiation) algorithm can control the vehicle lateral error according to the trajectory deviation, but the adjustment of parameters under different working conditions is the disadvantage of the algorithm [3][4][5]. A linear quadratic regulator (LQR) takes into account the influence of the vehicle dynamics model, but requires higher accuracy of the vehicle model [6][7][8][9][10]. Lghani Menhour [11] proposed a mathematical driver model based on a two-degrees-of-freedom PID multi-controller, developed a mathematical driver model, and verified the robustness and stability of the control, which improved the control accuracy under the uncertainty of nonlinear and structured parameters.…”

Section: Introductionmentioning

confidence: 99%

Optimal Control Strategy of Path Tracking and Braking Energy Recovery for New Energy Vehicles

et al. 2022

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In order to further improve the stability of path tracking control and fuel economy of new energy vehicles, an optimal control strategy of path tracking and braking energy recovery is proposed. First, a model predictive controller is designed based on the three-degrees of freedom dynamics model of the vehicle according to the idea of hierarchical control, and a fuzzy yaw torque controller is established with the desired yaw velocity and side slip angle of the mass center as constraints. Second, at high-speed driving conditions, the executive layer of the component distributes the braking torque according to the braking energy recovery control strategy. Finally, the optimal control strategy of path tracking and braking energy recovery is verified by Carsim/Advisor/Simulink software under different driving speeds. The results show that the optimized control strategy can improve the tracking accuracy and driving stability of a vehicle with large curvature turning and further improve the fuel economy of new energy vehicles under the premise of meeting the control requirements.

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Section: Introductionmentioning

confidence: 99%

Optimal Control Strategy of Path Tracking and Braking Energy Recovery for New Energy Vehicles

et al. 2022

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“…The literature on 4WS4WD EVs has a variety of equations for each of these components. Some works include one additional component, which is known as path-tracking kinematics, in the mathematical model; see [4] and [5], and references therein.…”

Section: Introductionmentioning

confidence: 99%

Comments on “Model-Independent Adaptive Fault-Tolerant Output Tracking Control of 4WS4WD Road Vehicles”

Singh

Potluri

2015

IEEE Trans. Intell. Transport. Syst.

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The commented paper "Model-Independent Adaptive Fault-Tolerant Output Tracking Control of 4WS4WD Road Vehicles" (IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, vol. 14, no. 1, pp. 169-179, Mar. 2013) has multiple errors in its mathematical model. Because these errors, if left uncorrected, are a potential source of future errors in the emerging area of four-wheel steering four-wheel drive vehicles, this paper provides detailed discussions and corrections.Index Terms-Four-wheel steering four-wheel drive (4WS4WD), friction/slip curve, wheel dynamics.

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Development of Zero Turning Radius by using different independent torque

Shahrom

Peeie

2017

2017 3rd International Conference on Control, Automation and Robotics (ICCAR)

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Comments on "Optimal Fault-Tolerant Path-Tracking Control for 4WS4WD Electric Vehicles

Cited by 4 publications

References 8 publications

Optimal Control Strategy of Path Tracking and Braking Energy Recovery for New Energy Vehicles

Optimal Control Strategy of Path Tracking and Braking Energy Recovery for New Energy Vehicles

Comments on “Model-Independent Adaptive Fault-Tolerant Output Tracking Control of 4WS4WD Road Vehicles”

Development of Zero Turning Radius by using different independent torque

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