Robust Vehicle Speed Control Using Disturbance Observer in Hybrid Electric Vehicles

Kim, Sangjoon; Bang, Jae Sung; Kim, Sungdeok; Lee, Hyeongcheol

doi:10.1007/s12239-020-0089-5

Cited by 15 publications

(3 citation statements)

References 18 publications

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“…The dynamic model of the vehicle, based on the cumulative forces exerted upon it (refer to Figure 2), is governed by Newton's second law [9,10,[13][14][15][16].…”

Section: Vehicle Dynamics Modelingmentioning

confidence: 99%

Robust Speed Control in Nonlinear Electric Vehicles Using H-Infinity Control and the LMI Approach

Oudjama,

Boumediene,

Saidi

et al. 2023

JISC

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In this investigation, the robust H∞ control of nonlinear electric vehicles (EVs), powered by permanent magnet synchronous motors (PMSM), was examined. Emphasis was placed on enhancing the accuracy and robustness of the vehicle speed regulation by incorporating a meticulous H∞ method, supplemented by the proficient integration of Linear Matrix Inequality (LMI). A solution predicated on the LMI approach was devised, encompassing two distinct H∞ controllers for both current and speed control. Subsequent to an extensive analysis of the mathematical and control model of the EV, weighting functions were judiciously selected to optimize stability and performance. The proposed methodology offers significant advancements in the domain of EV control strategies and proffers insights into the application of robust control methods. Through comprehensive simulations, the effectiveness of the outlined method was validated, revealing impeccable speed control and ensuring steadfast performance when applied to the dynamic model of an EV equipped with a PMSM motor. This research elucidates the progressive strides made in the realm of EV control tactics and offers profound understandings of robust control methodologies.

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“…The dynamic model of the vehicle, based on the cumulative forces exerted upon it (refer to Figure 2), is governed by Newton's second law [9,10,[13][14][15][16].…”

Section: Vehicle Dynamics Modelingmentioning

confidence: 99%

Robust Speed Control in Nonlinear Electric Vehicles Using H-Infinity Control and the LMI Approach

Oudjama,

Boumediene,

Saidi

et al. 2023

JISC

View full text Add to dashboard Cite

show abstract

“…Since then, they have been applied to many applications and achieved good tracking performance under external disturbance and model uncertainty [44]. DOB-based control algorithms have also been applied to vehicle speed control and achieved good disturbance rejection performance [45]. In this section, we present a procedure for developing the robust longitudinal speed controller based on a disturbance observer (DOB).…”

Section: Problem Statementmentioning

confidence: 99%

“…DOB-based control algorithms first appeared in the late 1980s; since then, they have been applied to many applications, and have achieved good tracking performance under external disturbance and model uncertainty [44]. DOB-based control algorithms have also been applied to vehicle speed control, and have achieved good disturbance-rejection performance [45].…”

Section: Problem Statementmentioning

confidence: 99%

Design and Implementation of HD Mapping, Vehicle Control, and V2I Communication for Robo-Taxi Services

Yoon

Jung

Sung

2022

Sensors

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This paper presents our autonomous driving (AD) software stack, developed to complete the main mission of the contest we entered. The main mission can be simply described as a robo-taxi service on public roads, to transport passengers to their destination autonomously. Among the key competencies required for the main mission, this paper focused on high-definition mapping, vehicle control, and vehicle-to-infrastructure (V2I) communication. V2I communication refers to the task of wireless data exchange between a roadside unit and vehicles. With the data being captured and shared, rich, timely, and non-line-of-sight-aware traffic information can be utilized for a wide range of AD applications. In the contest, V2I communication was applied for a robo-taxi service, and also for traffic light recognition. A V2I communication-enabled traffic light recognizer was developed, to achieve a nearly perfect recognition rate, and a robo-taxi service handler was developed, to perform the main mission of the contest.

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Estimation of the Total Road Load Coefficient for a Road Train

Dem’yanov

Hazipov

2022

Lecture Notes in Mechanical Engineering

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Robust Vehicle Speed Control Using Disturbance Observer in Hybrid Electric Vehicles

Cited by 15 publications

References 18 publications

Robust Speed Control in Nonlinear Electric Vehicles Using H-Infinity Control and the LMI Approach

Robust Speed Control in Nonlinear Electric Vehicles Using H-Infinity Control and the LMI Approach

Design and Implementation of HD Mapping, Vehicle Control, and V2I Communication for Robo-Taxi Services

Estimation of the Total Road Load Coefficient for a Road Train

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