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Integrated Longitudinal and Lateral Networked Control System Design for Vehicle Platooning
Chedia Latrech1, Ahmed Chaibet2, Moussa Boukhnifer3
1Institut VEDECOM, 77 Rue des Chantiers, 78000 Versailles, France. chedia.latrach@yahoo.fr.
Sensors (Basel, Switzerland)
|September 16, 2018
Summary
This study introduces a novel integrated control system for vehicle platooning, enhancing safety and efficiency on roadways. The advanced approach ensures stable vehicle spacing and lane adherence using wireless communication networks.
Area of Science:
- Control Engineering
- Automotive Engineering
- Wireless Communication Systems
Background:
- Vehicle platooning offers potential benefits in traffic efficiency and fuel economy.
- Robust control strategies are essential for safe and reliable platooning operations, especially considering communication constraints.
- Integrated longitudinal and lateral control is crucial for maintaining vehicle formation and stability.
Purpose of the Study:
- To propose an integrated longitudinal and lateral control approach for vehicle platooning.
- To ensure string stability and robust platoon control under various constraints.
- To develop a control system validated through simulation.
Main Methods:
- Longitudinal control using Lyapunov functions and BMI conditions for speed and distance regulation.
- Lateral control employing a multi-model fuzzy controller designed with LMI conditions.
- Consideration of actuator saturation and communication constraints in control design.
- Validation using the CarSim software package.
Main Results:
- Sufficient stability conditions for longitudinal control were formulated in BMI terms.
- String stability conditions were integrated for robust platoon control.
- A multi-model fuzzy controller effectively managed lateral vehicle control.
- The proposed integrated control strategy demonstrated effectiveness in simulations.
Conclusions:
- The proposed integrated control approach effectively addresses longitudinal and lateral dynamics for vehicle platooning.
- The method ensures string stability and robustness while considering practical constraints.
- The use of LMI and BMI conditions provides a computationally feasible design framework.
- Simulation results confirm the viability and effectiveness of the developed platooning control system.
Keywords:
fuzzy controllinear matrix inequalityplatoon controltime-varying delayvehicle lateral controlvehicle longitudinal controlMore Related Videos
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