Abstract
In recent years automated driving have attracted more attention, as many autonomous features are evolving to a more intelligent stage. Cooperative adaptive cruise control (CACC) an important and challenging control problem. The motivation for developing intelligent system is to increase safety during driving. Most of the research on this topic considers kinematic model of vehicle with PID controller used for comfort and safety. The current work addresses CACC problem considering Engine Model with fuel parameter to improve fuel efficiency and maintaining desired headway. Safe distance is maintained from preceding vehicle by the help of different sensors. System measures distance form preceding vehicle through sensor and take information of position, velocity and acceleration. Pontryagin's Minimum Principle (PMP) is used to optimize the cost function, numerical algorithm is used to solve the optimization problem. Pontryagin's Minimum Principle (PMP) produced better results than PID with improved fuel efficiency and accurate distance between vehicles.
| Original language | English |
|---|---|
| Title of host publication | 2019 5th International Conference on Control, Automation and Robotics, ICCAR 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 396-400 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781728133263 |
| DOIs | |
| State | Published - Apr 2019 |
| Externally published | Yes |
| Event | 5th International Conference on Control, Automation and Robotics, ICCAR 2019 - Beijing, China Duration: 19 Apr 2019 → 22 Apr 2019 |
Publication series
| Name | 2019 5th International Conference on Control, Automation and Robotics, ICCAR 2019 |
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Conference
| Conference | 5th International Conference on Control, Automation and Robotics, ICCAR 2019 |
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| Country/Territory | China |
| City | Beijing |
| Period | 19/04/19 → 22/04/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- cooperative adaptive cruise control(CACC)
- fuel efficiency
- optimization
- pontryagin's minimum principal(PMP)
ASJC Scopus subject areas
- Mechanical Engineering
- Control and Optimization
- Artificial Intelligence
- Control and Systems Engineering