Comprehensive chassis control strategy of FWIC‐EV based on sliding mode control

Chen, Guoying; Hua, Min; Zong, Changfu; Zhang, Buyang; Huang, Yanjun

doi:10.1049/iet-its.2018.5089

Cited by 33 publications

(18 citation statements)

References 24 publications

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“…In the context of PTC, SMC is one of the most popular control techniques. SMC can provide robust performance in the presence of uncertainties, is easy to implement, and can facilitate fast response [63, 94, 95]. In this technique, a desired sliding manifold in the state‐space, the so‐called ‘sliding surface’, is initially chosen.…”

Section: Control Strategiesmentioning

confidence: 99%

Review and performance evaluation of path tracking controllers of autonomous vehicles

Rokonuzzaman

Mohajer

Nahavandi

et al. 2021

IET Intelligent Trans Sys

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Autonomous Vehicles (AVs) have shown indelible and revolutionary effects on accident reduction and more efficient use of travel time, with outstanding socio‐economic impact. Despite these benefits, to make AVs accepted by a wide demographic and produce them on an industrial scale with a reasonable price, there are still a number of technological and social challenges that need to be tackled. Path Tracking Controller (PTC) of AVs is one of the high potential subsystems that can be further improved in order to achieve more accurate, robust and comfortable tracking performance. This study provides a critical review and simulation study of several selected techniques used for the design of PTC of AVs. The AVs are assumed to have limited controllability due to non‐holonomic constraints, such as car‐like vehicles and differential drive mobile robots. A detailed discussion will be provided on the simulation outcomes as well as the pros and cons of each technique for the sake of implementation and improvement of state‐of‐the‐art PTC.

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Section: Control Strategiesmentioning

confidence: 99%

Review and performance evaluation of path tracking controllers of autonomous vehicles

Rokonuzzaman

Mohajer

Nahavandi

et al. 2021

IET Intelligent Trans Sys

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“…Thanks to the progress in advanced power battery technology, the blooming development of electric vehicles (EVs) effectively has achieved significant progress in energy saving and emission reduction in recent years [1] [2]. Lithium-ion batteries (LIBs) with characteristics of high energy, low self-discharge rate and long cycle life, therefore, are widely considered as the most promising power sources for electrified vehicles [3].…”

Section: Introductionmentioning

confidence: 99%

Surrogate Modelling for Battery State-of-Charge Estimation in Electric Vehicles Based on Pseudo-2-Dimensional Model and Gradient Boosting Machines

Min¹,

Hua²,

Zhou³

et al. 2022

Preprint

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“…Furthermore, 18 achieved the tracking of irregular curves with a simple sliding mode variable structure algorithm. On the basis of the Luenberger observer, 19 designed a sliding mode controller via chain theory in the presence of strong lateral interference to achieve more accurate trajectory tracking 20 used hierarchical sliding mode variable structure control to realise integrated control of steering and braking on the basis of a 4WIS-WID vehicle platform. However, due to the limitation of initial conditions, the performance of the same method for different initial states varies greatly.…”

Section: Introductionmentioning

confidence: 99%

Trajectory-following of a 4WID-4WIS vehicle via feedforward–backstepping sliding-mode control

Lei

Wen

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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Realisation of high-precision trajectory tracking is the key technology to achieve unmanned driving, which has an important impact on vehicle handling stability, safety and comfort. However, many confounding factors seriously restrict tracking performance and pose a great challenge to the design of the controller for tracking the desired trajectory. A comprehensive method that combines feedforward and backstepping sliding mode control is proposed for a four-wheel independent driving–four-wheel independent steering (4WID-4WIS) vehicle, which has the advantages of over-coupling, multiple degrees of freedom and flexible operation. The desired value is the target for the feedforward output of the controller, and the backstepping sliding mode control is used to overcome all kinds of disturbances. A mature and reliable Luenberger observer is designed to achieve good trajectory tracking performance for reducing some sensors. The proposed method is verified via MATLAB/Simulink simulation, which proved that the method has an excellent trajectory tracking performance.

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Comprehensive chassis control strategy of FWIC‐EV based on sliding mode control

Cited by 33 publications

References 24 publications

Review and performance evaluation of path tracking controllers of autonomous vehicles

Review and performance evaluation of path tracking controllers of autonomous vehicles

Surrogate Modelling for Battery State-of-Charge Estimation in Electric Vehicles Based on Pseudo-2-Dimensional Model and Gradient Boosting Machines

Trajectory-following of a 4WID-4WIS vehicle via feedforward–backstepping sliding-mode control

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