Racing driver model in dymola vehicle dynamics library (vdl): steering controller design
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
- 1.2Background of Study
- 1.3Problem Statement
- 1.4Objective of Study
- 1.5Limitation of Study
- 1.6Scope of Study
- 1.7Significance of Study
- 1.8Structure of the Research
- 1.9Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 2.1Overview of Vehicle Dynamics
- 2.2Steering System in Vehicle Dynamics
- 2.3Racing Driver Models
- 2.4Controller Design in Vehicle Dynamics
- 2.5Dymola Vehicle Dynamics Library (VDL)
- 2.6Importance of Steering Control in Racing
- 2.7Simulation Tools in Vehicle Dynamics
- 2.8Race Car Performance Metrics
- 2.9Vehicle Stability Control Systems
- 2.10Racing Driver Behavior Analysis
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Methodology Overview
- 3.2Data Collection Methods
- 3.3Experimental Design
- 3.4Data Analysis Techniques
- 3.5Software Tools for Simulation
- 3.6Parameter Estimation Methods
- 3.7Validation Procedures
- 3.8Model Calibration Techniques
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- 4.1Analysis of Racing Driver Models
- 4.2Steering Controller Performance Evaluation
- 4.3Comparative Study of Controller Designs
- 4.4Impact of Driver Behavior on Vehicle Dynamics
- 4.5Sensitivity Analysis of Control Parameters
- 4.6Real-world Application of Steering Control
- 4.7Optimization Techniques for Controller Tuning
- 4.8Future Trends in Racing Driver Model Development
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- 5.1Conclusion and Summary
- 5.2Key Findings of the Research
- 5.3Implications for the Automotive Industry
- 5.4Recommendations for Future Research
- 5.5Closing Remarks
Project Abstract
<p> </p><p>Racing drivers always want to traverse path at vehicle’s maximum performance limits while keeping the vehicle at its ideal trajectory. The main objective of this report is to elaborate strategy for the path following problem in which driver has to follow the predefined 2D roads.</p><p>New steering controller design for closed loop racing driver model in Dymola vehicle dynamics library is developed. The methodology proposed by Sharp et al. is followed with the optimal velocity profile that tries to mimic the actions of the real drivers in real time scenarios. Vehicle handling limits i.e. longitudinal and lateral limits are defined before simulation.</p><p>While travelling in the neighbourhood of optimal velocity on the straight road as well as during the curves, the performance of the steering controller is tested by conducting the test on J turn, Clothoid, Extended chicane and the closing curve path and also tested during the different environment effects e.g. when there is a side wind affecting the vehicle. Performance of existing and new steering controllers discussed and compared in result chapter. It is ensured that the drawbacks in the existing steering controller are eliminated by using the proposed methodology in new implemented steering controller.</p> <br><p></p>Project Overview
Blazingprojects Mobile App
📚 Over 50,000 Project Materials
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Software coding and Machine construction
🎓 Postgraduate/Undergraduate Research works
📥 Instant Whatsapp/Email Delivery
Related Research
Smart Grid Demand Response Control Using Edge Analytics and Renewable Integration N...
What This Project Is About A beginner-friendly explanation of how smart grids can adjust electricity use in real time by using local data and small edge devices...
Smart Grid Fault Detection and Localization Using Distributed Sensor Networks...
What This Project Is About A straightforward look at how smart grids can quickly detect faults and pinpoint where they occur by using a network of small, inexpe...
Smart Grid Fault Detection using IoT-based Sensor Network Note: If you want more op...
What This Project Is About Develop a system that can monitor the electrical grid in real time using small sensors and internet connectivity. The project investi...
Smart Low-Cost IoT-Based Energy Management System for Microgrids...
What This Project Is About A plain-language overview of how small energy systems can be monitored and controlled using affordable sensors and internet tools to ...
Smart Grid Fault Detection and Localization using Hybrid Fuzzy-Neural Network and Ph...
What This Project Is About This project explores how a smart electrical grid can automatically detect and locate faults using a combination of fuzzy logic (huma...
Smart LVDC Microgrid with Real-Time Energy Management and Batteryless Solar Inverter...
What This Project Is About This project explores a small-scale, low-voltage direct current (LVDC) microgrid that can manage energy in real time. It also investi...
Smart Grid Demand Response using IoT and Machine Learning for Energy Optimization...
What This Project Is About A practical study that looks at how a smart electrical grid can respond to changing electricity use in real-time. It combines Interne...
Smart Grid Fault Detection and Isolation Using IoT and Machine Learning...
What This Project Is About A plain-language overview of how smart grids, real-time monitoring, and learning algorithms work together to detect faults in electri...
Smart Grid Fault Detection and Isolation Using IoT-Enabled Phasor Measurement Units ...
What This Project Is About A plain-language overview of the topic and what the project investigates. The Problem It Addresses What problem or gap this project ...
