| 000 | 07146nam a22007811i 4500 | ||
|---|---|---|---|
| 001 | 8625978 | ||
| 003 | IEEE | ||
| 005 | 20200413152926.0 | ||
| 006 | m eo d | ||
| 007 | cr cn |||m|||a | ||
| 008 | 190131s2019 caua foab 000 0 eng d | ||
| 020 |
_a9781681734828 _qebook |
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| 020 |
_z9781681734811 _qprint |
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| 020 |
_z9781681734835 _qhardcover |
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| 024 | 7 |
_a10.2200/S00890ED1V01Y201812AAT005 _2doi |
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| 035 | _a(CaBNVSL)slc81734828 | ||
| 035 | _a(OCoLC)1083730641 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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| 050 | 4 |
_aTL152.8 _b.Q467 2019eb |
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| 082 | 0 | 4 |
_a629.231 _223 |
| 100 | 1 |
_aQin, Yechen, _eauthor. |
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| 245 | 1 | 0 |
_aReal-time road profile identification and monitoring : _btheory and application / _cYechen Qin, Hong Wang, Yanjun Huang, Xiaolin Tang. |
| 264 | 1 |
_a[San Rafael, California] : _bMorgan & Claypool, _c2019. |
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| 300 |
_a1 PDF (xiv, 134 pages) : _billustrations. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 |
_aSynthesis lectures on advances in automotive technology, _x2576-8131 ; _v# 5 |
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| 538 | _aMode of access: World Wide Web. | ||
| 500 | _aPart of: Synthesis digital library of engineering and computer science. | ||
| 504 | _aIncludes bibliographical references (pages 119-131). | ||
| 505 | 0 | _aAcknowledgments -- Nomenclature -- 1. Introduction -- 1.1 Motivation -- 1.2 Road estimation review -- 1.2.1 Direct measurements-- 1.2.2 Non-contact measurements -- 1.2.3 Response-based estimation -- 1.3 Summary. | |
| 505 | 8 | _a2. System modeling -- 2.1 Road profile modeling -- 2.1.1 Definition of road profile with the same PSD structure -- 2.1.2 Definition of road profile with different PSD structure -- 2.1.3 IRI and its correlation to ISO ondex -- 2.1.4 Road profile generation -- 2.2 Vehicle system modeling -- 2.2.1 Nonlinear Macpherson suspension model -- 2.2.2 Suspension system linearization -- 2.2.3 Controllable damper model -- 2.3 Summary. | |
| 505 | 8 | _a3. Data-driven road classification algorithms -- 3.1 The difference of system responses on various road levels -- 3.2 Features definition -- 3.3 Road classification algorithm -- 3.3.1 Overall structure -- 3.3.2 Signal pre-processing -- 3.3.3 Feature reduction -- 3.3.4 PNN classifier -- 3.4 Simulation settings and results -- 3.4.1 Simulation settings 3.4.2 Simulation results -- 3.4.3 Comparison with other methods -- 3.5 Summary. | |
| 505 | 8 | _a4. Model-based road estimation algorithms -- 4.1 Transfer function-based road classification algorithms -- 4.1.1 Structure of speed independent road classification algorithm -- 4.1.2 Data processing procedure -- 4.1.3 Discussion on the input selection of RF classifier -- 4.1.4 Simulation results for varying velocity scenario -- 4.1.5 Simulation results for noisy measurement -- 4.1.6 Road classification when considering tire dynamics -- 4.1.7 Experimental validation -- 4.2 Observer-based road profile estimation -- 4.2.1 Observer structure -- 4.2.2 AKF-ASTO design -- 4.2.3 Simulation results -- 4.3 Summary. | |
| 505 | 8 | _a5. Road adaptive hybrid suspension control -- 5.1 Correlation between suspension parameter and road excitation -- 5.1.1 Analytical Expressions of Vehicle Responses -- 5.1.2 Correlation Between Suspension System and Excitation Conditions -- 5.2 Multi-Objective Optimization Problem and Solution -- 5.2.1 MOOP -- 5.2.2 Solution of MOOP -- 5.3 Road Adaptive Hybrid Suspension Controller -- 5.3.1 Hybrid Control and its Analytical Expressions -- 5.3.2 Road Adaptive Hybrid Controller -- 5.4 Summary. | |
| 505 | 8 | _a6. Suspension predictive control based on road estimation -- 6.1 Hybrid model predictive control -- 6.1.1 Model predictive control -- 6.1.2 Hybrid system -- 6.1.3 Hybrid model predictive control -- 6.2 Optimal predictive control -- 6.2.1 Predictive control for quarter vehicle model -- 6.2.2 Predictive control for a half vehicle model -- 6.3 Simulations -- 6.3.1 Simulation settings -- 6.3.2 Simulation results for a quarter vehicle model -- 6.3.3 Simulation results for half vehicle model -- 6.4 Summary. | |
| 505 | 8 | _a7. Conclusions -- References -- Authors’ biographies. | |
| 506 | _aAbstract freely available; full-text restricted to subscribers or individual document purchasers. | ||
| 510 | 0 | _aCompendex | |
| 510 | 0 | _aINSPEC | |
| 510 | 0 | _aGoogle scholar | |
| 510 | 0 | _aGoogle book search | |
| 520 | 3 | _aEver stringent vehicle safety legislation and consumer expectations inspire the improvement of vehicle dynamic performance, which result in a rising number of control strategies for vehicle dynamics that rely on driving conditions. Road profiles, as the primary excitation source of vehicle systems, play a critical role in vehicle dynamics and also in public transportation. Knowledge of precise road conditions can thus be of great assistance for vehicle companies and government departments to develop proper dynamic control algorithms, and to fix roads in a timely manner and at the minimum cost, respectively. As a result, developing easy-to-use and accurate road estimation methods are of great importance in terms of reducing the cost related to vehicles and road maintenance as well as improving passenger comfort and handling capacity. A few books have already been published on road profile modeling and the influence of road unevenness on vehicle response. However, there is still room to discuss road assessment methods based on vehicle response and how road conditions can be used to improve vehicle dynamics. In this book, we use several generalized vehicle models to demonstrate the concepts, methods, and applications of vehicle response-based road estimation algorithms. In addition, necessary tools, algorithms, and methods are illustrated, and the benefits of the road estimation algorithms are evaluated. Furthermore, several case studies of controllable suspension systems to improve vehicle vertical dynamics are presented. | |
| 530 | _aAlso available in print. | ||
| 588 | _aTitle from PDF title page (viewed on January 31, 2019). | ||
| 650 | 0 |
_aAutomobiles _xSprings and suspension. |
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| 650 | 0 |
_aRoads _xMaintenance and repair. |
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| 650 | 0 |
_aRoads _xRiding qualities. |
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| 653 | _acontrollable suspension system | ||
| 653 | _amachine learning | ||
| 653 | _aroad classification | ||
| 653 | _aroad estimation | ||
| 653 | _aroad profile | ||
| 653 | _asemi-active control strategies | ||
| 653 | _atime-frequency analysis | ||
| 653 | _avehicle system responses | ||
| 655 | 0 | _aElectronic books. | |
| 700 | 1 |
_aKhajepour, Amir, _eeditor. |
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| 700 | 1 |
_aHong, Wang, _eauthor. |
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| 700 | 1 |
_aHuang,Yanjun, _eauthor. |
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| 700 | 1 |
_aTang, Xiaolin, _eauthor. |
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| 776 | 0 | 8 |
_iPrint version: _z9781681734811 _z9781681734835 |
| 830 | 0 | _aSynthesis digital library of engineering and computer science. | |
| 830 | 0 |
_aSynthesis lectures on advances in automotive technology ; _v# 5. |
|
| 856 | 4 | 0 |
_3Abstract with links to full text _uhttps://doi.org/10.2200/S00890ED1V01Y201812AAT005 |
| 856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/servlet/opac?bknumber=8625978 |
| 999 |
_c562300 _d562300 |
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