Design and Implementation of Cascaded Ant Colony Optimization Coupled with Sliding Mode Controller for Autonomous Cruise Control System

Muhammad Majid Gulzar; Muhammad Mughees Ahmed; Adnan Shakoor; Muhammad Khalid

doi:10.1109/ETFG55873.2023.10407424

Design and Implementation of Cascaded Ant Colony Optimization Coupled with Sliding Mode Controller for Autonomous Cruise Control System

Muhammad Majid Gulzar^*
, Muhammad Mughees Ahmed
, Adnan Shakoor
, Muhammad Khalid

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Driving assist systems are being widely used in modern cars nowadays for safety, efficiency and comfort. These systems are used in cruise control, self-driving control and even obstacle avoidance. All these systems include a lot of sensors and radars, which work together and generate fast responses to manipulate the direction or speed of a car. The main objective of using this sort of technology is to reduce accidents by reducing stress on the driver by increasing comfort of travel. The aim of this research is to develop a controller for cruise control in vehicles that can help to reach the desired speed most accurately, quite fast and efficiently. The proposed Ant Colony Optimization coupled with Sliding Mode Controller (ACO & SMC) used in this research is more accurate and robust that can help to tune the parameters in a way that the cruise control system gives a minimum error, stable results with the least possible disturbances. Later on, the results are also compared with already used state-of-the-art technologies implemented for cruise control to show the superiority of the proposed controller.

Original language	English
Title of host publication	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665471640
DOIs	https://doi.org/10.1109/ETFG55873.2023.10407424
State	Published - 2023
Event	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 - Wollongong, Australia Duration: 3 Dec 2023 → 6 Dec 2023

Publication series

Name	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

Conference

Conference	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
Country/Territory	Australia
City	Wollongong
Period	3/12/23 → 6/12/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Ant Colony Optimization (ACO)
Autonomous Vehicles
Cruise Control
Sliding Mode Controller (SMC)

ASJC Scopus subject areas

Artificial Intelligence
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Control and Optimization
Safety, Risk, Reliability and Quality

Access to Document

10.1109/ETFG55873.2023.10407424

Cite this

Gulzar, M. M., Mughees Ahmed, M., Shakoor, A., & Khalid, M. (2023). Design and Implementation of Cascaded Ant Colony Optimization Coupled with Sliding Mode Controller for Autonomous Cruise Control System. In 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETFG55873.2023.10407424

Gulzar, Muhammad Majid ; Mughees Ahmed, Muhammad ; Shakoor, Adnan et al. / Design and Implementation of Cascaded Ant Colony Optimization Coupled with Sliding Mode Controller for Autonomous Cruise Control System. 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023).

@inproceedings{27e416697e2246959d8c036fa0a343fe,

title = "Design and Implementation of Cascaded Ant Colony Optimization Coupled with Sliding Mode Controller for Autonomous Cruise Control System",

abstract = "Driving assist systems are being widely used in modern cars nowadays for safety, efficiency and comfort. These systems are used in cruise control, self-driving control and even obstacle avoidance. All these systems include a lot of sensors and radars, which work together and generate fast responses to manipulate the direction or speed of a car. The main objective of using this sort of technology is to reduce accidents by reducing stress on the driver by increasing comfort of travel. The aim of this research is to develop a controller for cruise control in vehicles that can help to reach the desired speed most accurately, quite fast and efficiently. The proposed Ant Colony Optimization coupled with Sliding Mode Controller (ACO \& SMC) used in this research is more accurate and robust that can help to tune the parameters in a way that the cruise control system gives a minimum error, stable results with the least possible disturbances. Later on, the results are also compared with already used state-of-the-art technologies implemented for cruise control to show the superiority of the proposed controller.",

keywords = "Ant Colony Optimization (ACO), Autonomous Vehicles, Cruise Control, Sliding Mode Controller (SMC)",

author = "Gulzar, \{Muhammad Majid\} and \{Mughees Ahmed\}, Muhammad and Adnan Shakoor and Muhammad Khalid",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 ; Conference date: 03-12-2023 Through 06-12-2023",

year = "2023",

doi = "10.1109/ETFG55873.2023.10407424",

language = "English",

series = "2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023",

address = "United States",

}

Gulzar, MM, Mughees Ahmed, M, Shakoor, A & Khalid, M 2023, Design and Implementation of Cascaded Ant Colony Optimization Coupled with Sliding Mode Controller for Autonomous Cruise Control System. in 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023, Wollongong, Australia, 3/12/23. https://doi.org/10.1109/ETFG55873.2023.10407424

Design and Implementation of Cascaded Ant Colony Optimization Coupled with Sliding Mode Controller for Autonomous Cruise Control System. / Gulzar, Muhammad Majid; Mughees Ahmed, Muhammad; Shakoor, Adnan et al.
2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Shakoor, Adnan

AU - Khalid, Muhammad

PY - 2023

Y1 - 2023

N2 - Driving assist systems are being widely used in modern cars nowadays for safety, efficiency and comfort. These systems are used in cruise control, self-driving control and even obstacle avoidance. All these systems include a lot of sensors and radars, which work together and generate fast responses to manipulate the direction or speed of a car. The main objective of using this sort of technology is to reduce accidents by reducing stress on the driver by increasing comfort of travel. The aim of this research is to develop a controller for cruise control in vehicles that can help to reach the desired speed most accurately, quite fast and efficiently. The proposed Ant Colony Optimization coupled with Sliding Mode Controller (ACO & SMC) used in this research is more accurate and robust that can help to tune the parameters in a way that the cruise control system gives a minimum error, stable results with the least possible disturbances. Later on, the results are also compared with already used state-of-the-art technologies implemented for cruise control to show the superiority of the proposed controller.

AB - Driving assist systems are being widely used in modern cars nowadays for safety, efficiency and comfort. These systems are used in cruise control, self-driving control and even obstacle avoidance. All these systems include a lot of sensors and radars, which work together and generate fast responses to manipulate the direction or speed of a car. The main objective of using this sort of technology is to reduce accidents by reducing stress on the driver by increasing comfort of travel. The aim of this research is to develop a controller for cruise control in vehicles that can help to reach the desired speed most accurately, quite fast and efficiently. The proposed Ant Colony Optimization coupled with Sliding Mode Controller (ACO & SMC) used in this research is more accurate and robust that can help to tune the parameters in a way that the cruise control system gives a minimum error, stable results with the least possible disturbances. Later on, the results are also compared with already used state-of-the-art technologies implemented for cruise control to show the superiority of the proposed controller.

KW - Ant Colony Optimization (ACO)

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KW - Cruise Control

KW - Sliding Mode Controller (SMC)

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M3 - Conference contribution

AN - SCOPUS:85185776485

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BT - 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

Y2 - 3 December 2023 through 6 December 2023

ER -

Gulzar MM, Mughees Ahmed M, Shakoor A , Khalid M. Design and Implementation of Cascaded Ant Colony Optimization Coupled with Sliding Mode Controller for Autonomous Cruise Control System. In 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023). doi: 10.1109/ETFG55873.2023.10407424

Design and Implementation of Cascaded Ant Colony Optimization Coupled with Sliding Mode Controller for Autonomous Cruise Control System

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this