Normal view MARC view ISBD view

Integrated modelling and control of linear actuator based automatic pedal pressing mechanism for low-speed driving in a road traffic delay / Azrul Azim Abdullah Hashim

By:

Azrul Azim Bin Abdullah Hashim [author.]

Material type: Text

text

Media type:

unmediated

Carrier type:

volume

ISBN:

THE0009495 (Local)

Subject(s):

Dissertation note: Thesis (Master of Science) -- Universiti Malaysia Pahang - 2026 Abstract: Sitting in traffic congestion often requires drivers to continuously press and release the pedal, leading to significant leg and back fatigue with potential long-term health implications. This thesis aims to model and develop a control system that utilizes a linear actuator to replace the manual leg activities involved in pressing and releasing the vehicle pedal. The study explores two fundamental approaches to enhancing control systems for linear actuators in vehicles. The first approach integrates a PID controller within the Simscape environment to regulate vehicle speed through precise pedal force application. The second approach utilizes a data-driven technique, where system dynamics are modelled using real-world data through Matlab’s System Identification Toolbox. The comparative analysis indicates that the PID controller tuned with the Spiral Sine Cosine Algorithm (SSCA) achieves faster convergence, stabilizing within 15 iterations compared to 40 iterations for the Spiral Dynamic Algorithm (SDA). In simulations, SSCA shows better steady-state accuracy and reduces settling time by 12%. In hardware-in-the-loop (HIL) testing, SSCA provides enhanced stability, particularly at 250 N, where it minimizes oscillations compared to SDA, which struggles with position tracking issues. While SDA performs better in overshoot, with 3.82% compared to SSCA's 4.80%, its limitations in real-time control make SSCA a more reliable choice for precise actuator control. This research advances linear actuator and force sensor technologies, offering effective solutions for managing pedal and vehicle speed.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 2 )
Title notes ( 4 )

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Thesis	UMPLIB PEKAN	Non-fiction	FTKEE .A97 2026 r Thesis (Browse shelf(Opens below))	1	Final Processing		T000005072
Accompanying Material	UMPLIB PEKAN	Non-fiction	CD14033 (Browse shelf(Opens below))	1	Final Processing		T000005073

Faculty of Electrical & Electronics Engineering Technology

Thesis (Master of Science) -- Universiti Malaysia Pahang - 2026

Includes bibliographical references

Sitting in traffic congestion often requires drivers to continuously press and release the pedal, leading to significant leg and back fatigue with potential long-term health implications. This thesis aims to model and develop a control system that utilizes a linear actuator to replace the manual leg activities involved in pressing and releasing the vehicle pedal. The study explores two fundamental approaches to enhancing control systems for linear actuators in vehicles. The first approach integrates a PID controller within the Simscape environment to regulate vehicle speed through precise pedal force application. The second approach utilizes a data-driven technique, where system dynamics are modelled using real-world data through Matlab’s System Identification Toolbox. The comparative analysis indicates that the PID controller tuned with the Spiral Sine Cosine Algorithm (SSCA) achieves faster convergence, stabilizing within 15 iterations compared to 40 iterations for the Spiral Dynamic Algorithm (SDA). In simulations, SSCA shows better steady-state accuracy and reduces settling time by 12%. In hardware-in-the-loop (HIL) testing, SSCA provides enhanced stability, particularly at 250 N, where it minimizes oscillations compared to SDA, which struggles with position tracking issues. While SDA performs better in overshoot, with 3.82% compared to SSCA's 4.80%, its limitations in real-time control make SSCA a more reliable choice for precise actuator control. This research advances linear actuator and force sensor technologies, offering effective solutions for managing pedal and vehicle speed.