Article
Computer Science, Information Systems
Hongqing Chu, Lulu Guo, Hong Chen, Bingzhao Gao
Summary: This study proposes a hierarchical design of optimal car-following control system, which splits the system into high-level and low-level subsystems to address issues such as preceding vehicle acceleration disturbance and road slope. The performance of the proposed optimal control scheme is evaluated through simulation and real-vehicle experiments, showing superior car-following performance compared to a factory-installed adaptive cruise controller.
SCIENCE CHINA-INFORMATION SCIENCES
(2021)
Article
Engineering, Mechanical
D. J. N. Limebeer, M. Bastin, E. Warren, H. G. Fensham
Summary: This paper applies the minimum-lap-time simulation technologies from Formula One to NASCAR, highlighting the importance of variable lateral camber in race car performance through comparing different data sources.
VEHICLE SYSTEM DYNAMICS
(2023)
Article
Automation & Control Systems
Stefan Loeckel, Siwei Ju, Maximilian Schaller, Peter van Vliet, Jan Peters
Summary: Engineering a high-performance race car involves considering the human driver through real-world tests or simulations. This study aims to understand race driver behavior and develop an adaptive driver model using imitation learning. By identifying adaptation mechanisms and optimizing lap times on new tracks, the framework creates realistic driving lines and improves performance over time.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Mechanical
Gianpiero Mastinu, Fabio Della Rossa, Giorgio Previati, Massimiliano Gobbi, Marco Fainello
Summary: The paper explores how drivers, whether human or not, can lose control of road vehicles after being disturbed. It begins by considering a simple vehicle-and-driver model that exhibits limit cycles dependent on the vehicle's forward velocity. Experimental tests using a dynamic driving simulator with a complex vehicle model and human operators confirm the existence of these limit cycles. The paper also presents a mathematical proof of the Hopf bifurcations that give rise to the limit cycles and derives a Lyapunov function to determine the region of stability for the model. It concludes that global asymptotic stability requires the vanishing of kinetic energy at the end of the disturbed motion.
NONLINEAR DYNAMICS
(2023)
Article
Automation & Control Systems
Gaetano Tavolo, Kai Man So, Davide Tavernini, Pietro Perlo, Aldo Sorniotti
Summary: With the development of V2X connectivity, it is possible to use tire-road friction information to enhance the performance of antilock braking systems. This study presents a nonlinear model predictive controller with preview of the tire-road friction profile and validates it through experiments.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Civil
Shaobing Xu, Huei Peng, Yifan Tang
Summary: This paper presents a preview steering control design considering both communication delay and steering lag to achieve accurate, smooth, and computationally efficient path tracking for highly automated vehicles. By adopting two delay strategies and approximating the steering lag, the system stability and closed-loop responses in both the time and frequency domain are analyzed, with experimental results showing improved tracking errors and stability margin compared to controls ignoring delay and lag.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Mechanics
Zhao Wen Deng, You Qun Zhao, Bao Hua Wang, Wei Gao, Xinxin Kong
Summary: This article proposes and validates a preview driver model suitable for articulated heavy vehicles (AHVs), based on Sliding-mode control (SMC) and Fuzzy control. The model effectively combines the structural characteristics of AHVs with driver model theory, and is validated through comparative analysis and numerous simulations.
Article
Engineering, Aerospace
Rui Cao, YuPing Lu, Ziyang Zhen
Summary: The transition window tracking control of ASVs is a critical solution for successful engine mode transition, which involves generating dynamic transient trajectory and utilizing a piecewise robust preview control algorithm to handle uncertainties such as aerodynamic parameters and initial deviations effectively.
AEROSPACE SCIENCE AND TECHNOLOGY
(2021)
Article
Automation & Control Systems
Woo Young Choi, Seung-Hi Lee, Chung Choo Chung
Summary: This article introduces an innovative vehicular robust lane-tracking control scheme to compensate for the problematic winding road disturbance, showing improved control performance through redesigning the state-space reference. Comparison with conventional methods demonstrates the robustness and superiority of the proposed scheme.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Multidisciplinary Sciences
Ying Xu, Wentao Tang, Biyun Chen, Li Qiu, Rong Yang
Summary: This paper proposes a trajectory tracking scheme using model predictive control and preview-follower theory, improving the accuracy and efficiency of path tracking. By applying physical constraints and preview-follower theory, the best tracking of the reference path is achieved.
Review
Engineering, Mechanical
Hongliang Zhou, Jinwu Gao, Haifeng Liu
Summary: A vehicle speed preview controller is proposed to limit lateral acceleration in high speed cornering situations, utilizing future road curvature information obtained from high definition maps. Model predictive control method is implemented to establish a novel kinematics model for vehicle states prediction, aiming to promote safety and ride comfort. The controller is evaluated in hardware-in-the-loop simulation platform, showing that slowing down before cornering can decrease lateral acceleration and steering angle, benefiting comfort and safety.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2021)
Article
Engineering, Mechanical
Hongzhen Hu, Shaoyi Bei, Qixian Zhao, Xiao Han, Dan Zhou, Xinye Zhou, Bo Li
Summary: This study proposes a trajectory tracking method based on adaptive preview time. By optimizing the preview time, a single-point preview model is established, and a sliding mode controller is designed for control. Experimental results demonstrate that this method achieves good control performance under different speeds and road conditions.
Article
Mathematics, Interdisciplinary Applications
Gang Li, Sucai Zhang, Lei Liu, Xubin Zhang, Yuming Yin
Summary: This paper proposes a track tracking control method that integrates rear wheel differential drive and front wheel active steering, based on optimal control theory and fuzzy logic. Through simulation analysis and actual car verification, the integrated control method improves track tracking control accuracy by nearly 30%.
Article
Engineering, Civil
Hongqing Chu, Lulu Guo, Yongjun Yan, Bingzhao Gao, Hong Chen
Summary: This study developed an optimal cruise controller that automatically adapts to individual car-following styles. By using a learning algorithm to quantify closeness to predefined styles, the controller was able to determine and adapt to a proper style for specific drivers. Simulation and experimental tests showed that the controller's behavior was closer to that of human drivers than factory-installed ACC systems.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Automation & Control Systems
Tao Liu, Ling Liu, Yanrong Lu
Summary: This paper studies the H-infinity optimal preview tracking control problem of continuous-time linear system with external disturbance. By constructing an augmented system and using the H-infinity optimal control method, a controller including error integral, preview feed-forward compensation, and internal model compensation is designed to achieve output regulation and tracking.
ASIAN JOURNAL OF CONTROL
(2022)
Article
Engineering, Electrical & Electronic
Boli Chen, Xuefang Li, Simos A. Evangelou, Roberto Lot
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2020)
Article
Automation & Control Systems
Min Yu, Simos Andreas Evangelou, Daniele Dini
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2020)
Article
Automation & Control Systems
Simos A. Evangelou, M. A. Rehman-Shaikh
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2020)
Article
Automation & Control Systems
Jawad Arif, Muhammad Asim Rehman-Shaikh, Simos A. Evangelou
Summary: Subsea production systems technologies are steadily developing to address deep-sea environmental issues, with a comprehensive technology qualification program proposed to ensure reliable operation of electrical/electronic systems on the seabed. By conducting environmental stress tests compliant with international standards, such as API, ISO, IEC, and IEEE, technology readiness level of subsea electrical/electronics assembly can be achieved.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Energy & Fuels
Jawad Arif, Muhammad Asim Rehman-Shaikh, Simos A. Evangelou
Summary: To ensure the reliability of products in subsea production systems, a comprehensive technology qualification program is proposed with a focus on a novel technology readiness level 4 process. This process includes analytical assessment of product design, operating conditions, compliance stress tests, modified environmental tests, and novel product safety procedures to meet acceptance criteria set in the qualification process.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Automation & Control Systems
Min Yu, Cheng Cheng, Simos Evangelou, Daniele Dini
Summary: This article presents the development of a full-car prototype of a mechatronic suspension system, aiming to be an alternative solution to fully active suspensions for suspension original equipment manufacturers. Through mechanical modifications and real-time embedded system development, the suspension performance improvement and ride comfort enhancement have been achieved.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Min Yu, Simos A. Evangelou, Daniele Dini
Summary: In this article, the parallel active link suspension (PALS) for road vehicles is investigated in the scenario of a sport utility vehicle (SUV). By utilizing PID and $H_{infinity}$ control schemes, the study focuses on chassis attitude stabilization and ride comfort enhancement.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2022)
Article
Engineering, Civil
Xiao Pan, Boli Chen, Stelios Timotheou, Simos A. Evangelou
Summary: This paper addresses the speed planning problem for connected and autonomous vehicles (CAVs) at an unsignalized intersection with consideration of turning maneuvers. It is shown that the underlying optimization problem, subject to safety constraints, can be formulated as two second-order cone programs with convexification and relaxation. The investigation of Pareto optimal solutions highlights the importance of optimizing the trade-off between travel time and energy consumption.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Zilin Feng, Min Yu, Simos A. Evangelou, Imad M. Jaimoukha, Daniele Dini
Summary: This article presents a combined mu-synthesis PID control scheme, employing a frequency separation paradigm, for a recently proposed novel active suspension, the Parallel Active Link Suspension (PALS). The developed mu-synthesis control scheme is superior to the conventional H-infinity control, previously designed for the PALS, in terms of ride comfort and road holding (higher frequency dynamics), with important realistic uncertainties, such as in vehicle payload, taken into account. The developed PID control method is applied to guarantee good chassis attitude control capabilities and minimization of pitch and roll motions (low frequency dynamics).
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Automation & Control Systems
Anastasis Georgiou, Furqan Tahir, Imad M. Jaimoukha, Simos A. Evangelou
Summary: This article investigates the problem of robust model predictive control (RMPC) of linear-time-invariant discrete-time systems subject to structured uncertainty and bounded disturbances. A novel approach is proposed to linearize the nonlinear and nonconvex constrained RMPC problem, with reduced computational burden, through the use of semidefinite relaxation techniques. The effectiveness of the proposed scheme is demonstrated through numerical examples.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Boli Chen, Xiao Pan, Simos A. Evangelou
Summary: This article presents an energy management (EM) control strategy for series hybrid electric vehicles (HEVs) with an engine start-stop system (SSS), aiming to optimize energy distribution and minimize fuel consumption. The control strategy incorporates a fuel penalty mechanism and proposes the hysteresis power threshold strategy () to realistically model engine restarts. The article demonstrates the effectiveness and robustness of the control strategy, suggesting its potential as a benchmark strategy for high-fidelity HEV models.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2023)
Article
Automation & Control Systems
Xiao Pan, Boli Chen, Li Dai, Stelios Timotheou, Simos A. Evangelou
Summary: This paper focuses on cooperative vehicle management at a signal-free intersection, considering vehicle modeling uncertainties and sensor measurement disturbances. A hierarchical robust control strategy is proposed, with optimal control and robust model predictive control methods designed to solve the crossing order and velocity trajectories of connected and automated vehicles. The optimization problems are formulated as convex second-order cone programs, providing computationally efficient solutions. Simulation results demonstrate the effectiveness and robustness of the proposed strategy, highlighting the trade-off between energy consumption and journey time.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2023)
Proceedings Paper
Automation & Control Systems
Boli Chen, Xiao Pan, Simos A. Evangelou, Stelios Timotheou
Proceedings Paper
Automation & Control Systems
Zilin Feng, Min Yu, Cheng Cheng, Simos A. Evangelou, Imad M. Jaimoukha, Daniele Dini
Proceedings Paper
Automation & Control Systems
Anastasis Georgiou, Simos A. Evangelou, Imad M. Jaimoukha, Geoff Downton
