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Journal ArticleDOI

A closed-loop dynamic simulation-based design method for articulated heavy vehicles with active trailer steering systems

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TLDR
In this paper, a closed-loop dynamic simulation-based design method for articulated heavy vehicles (AHVs) with active trailer steering (ATS) systems is presented, which simultaneously optimises the active design variables of the controllers and passive design variables for the trailer in a single design loop (SDL).
Abstract
This paper presents a closed-loop dynamic simulation-based design method for articulated heavy vehicles (AHVs) with active trailer steering (ATS) systems. AHVs have poor manoeuvrability at low speeds and exhibit low lateral stability at high speeds. From the design point of view, there exists a trade-off relationship between AHVs’ manoeuvrability and stability. For example, fewer articulation points and longer wheelbases will improve high-speed lateral stability, but they will degrade low-speed manoeuvrability. To tackle this conflicting design problem, a systematic method is proposed for the design of AHVs with ATS systems. In order to evaluate vehicle performance measures under a well-defined testing manoeuvre, a driver model is introduced and it ‘drivers’ the vehicle model to follow a prescribed route at a given speed. Considering the interactions between the mechanical trailer and the ATS system, the proposed design method simultaneously optimises the active design variables of the controllers and passive design variables of the trailer in a single design loop (SDL). Through the design optimisation of an ATS system for an AHV with a truck and a drawbar trailer combination, this SDL method is compared against a published two design loop method. The benchmark investigation shows that the former can determine better trade-off design solutions than those derived by the latter. This SDL method provides an effective approach to automatically implement the design synthesis of AHVs with ATS systems.

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Citations
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Journal ArticleDOI

Design of an active trailer-steering system for multi-trailer articulated heavy vehicles using real-time simulations:

TL;DR: The driver-software-in-the-loop real-time simulations indicate that the active trailer-steering controller can effectively improve the low-speed manoeuvrability and high-speed stability of the multi-trailer articulated heavy vehicle when testing using a low- Speed 360° roundabout path-following manoeuvre and a high- speed single-lane-change manoeuvre respectively.
Journal ArticleDOI

A comparative study of multi-trailer articulated heavy-vehicle models

TL;DR: In this paper, the authors provide valuable guidelines on the selection of dynamic vehicle models for control algorithm development, design optimization and linear stability analysis for multi-trailer articulated heavy vehicles with active safety systems.
Journal ArticleDOI

Active Control on Path Following and Lateral Stability for Truck–Trailer Combinations

TL;DR: The numerical results demonstrate that the TTC with A TS system improves both low-speed path following and high-speed lateral stability compared with the baseline TTC without ATS system, and the designed controllers have good performance on reducing PFOT and RWA in any maneuvre conditions.
Dissertation

Parallel design optimization of multi-trailer articulated heavy vehicles with active safety systems

TL;DR: In this article, a parallel design optimization (PDO) method is developed and applied to the design of multi-trailer articulated heavy vehicles (MTAHVs) with integrated active safety systems, which involve active trailer steering (ATS), anti-roll (AR), and differential braking (BD) control.
Journal ArticleDOI

A study on single lane-change manoeuvres for determining rearward amplification of multi-trailer articulated heavy vehicles with active trailer steering systems

TL;DR: In this article, the rearward amplification of multi-trailer articulated heavy vehicles (MTAHVs) with active trailer steering (ATS) was evaluated using the ISO-14791 test procedure.
References
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Book

Genetic algorithms in search, optimization, and machine learning

TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.

Genetic algorithms in search, optimization and machine learning

TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Book

Genetic Algorithms

Book

Theory of Ground Vehicles

J.Y. Wong
TL;DR: In this article, the authors present an approach to the prediction of normal pressure distribution under a track and a simplified method for analysis of tracked vehicle performance, based on the Cone Index.
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