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Performance Evaluation of Off Grid Hybrid Distribution System with ANFIS Controller Read chapter Read first chapter

2024 | OriginalPaper | Chapter

Model Predictive Control (MPC) and Proportional Integral Derivative Control (PID) for Autonomous Lane Keeping Maneuvers: A Comparative Study of Their Efficacy and Stability

Authors : Ahsan Kabir Nuhel, Muhammad Al Amin, Dipta Paul, Diva Bhatia, Rubel Paul, Mir Mohibullah Sazid

Published in: Cognitive Computing and Cyber Physical Systems

Publisher: Springer Nature Switzerland

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Abstract

The escalating frequency of fatal crashes has led to an enhanced focus on road safety, resulting in the creation of diverse driver assistance systems. Several instances of these systems encompass active braking, lane departure warning, cruise control, lane maintaining, and numerous additional examples. However, the primary objective of this research is to examine the effectiveness and reliability of a model predictive control (MPC) and a proportional integral derivative (PID) control in executing lane keeping maneuvers within an autonomous vehicle. In this paper, a custom controller for autonomous lane-changing maneuvers is developed by utilizing the Model Predictive Control (MPC) and Proportional-Integral-Derivative (PID) controllers. Different trajectory models are employed to assess the overall effectiveness of the designed model, showcasing its superiority over existing models.

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Metadata
Title
Model Predictive Control (MPC) and Proportional Integral Derivative Control (PID) for Autonomous Lane Keeping Maneuvers: A Comparative Study of Their Efficacy and Stability
Authors
Ahsan Kabir Nuhel
Muhammad Al Amin
Dipta Paul
Diva Bhatia
Rubel Paul
Mir Mohibullah Sazid
Copyright Year
2024
Book
Cognitive Computing and Cyber Physical Systems

Print ISBN: 978-3-031-48890-0

Electronic ISBN: 978-3-031-48891-7

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-3-031-48891-7_9

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