A
Amar Faiz Zainal Abidin
Researcher at Universiti Teknikal Malaysia Melaka
Publications - 73
Citations - 639
Amar Faiz Zainal Abidin is an academic researcher from Universiti Teknikal Malaysia Melaka. The author has contributed to research in topics: Particle swarm optimization & Control theory. The author has an hindex of 13, co-authored 72 publications receiving 512 citations. Previous affiliations of Amar Faiz Zainal Abidin include Universiti Teknologi Malaysia.
Papers
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Proceedings ArticleDOI
PSO-tuned PID controller for a nonlinear gantry crane system
TL;DR: Development of an optimal PID controller for control of a nonlinear gantry crane system is presented and it is demonstrated that the controller is effective to move the trolley as fast as possible to the desired position with low payload oscillation technique.
Journal ArticleDOI
Adaptive modified Stanley controller with fuzzy supervisory system for trajectory tracking of an autonomous armoured vehicle
Noor Hafizah Amer,Noor Hafizah Amer,Khisbullah Hudha,Hairi Zamzuri,Vimal Rau Aparow,Amar Faiz Zainal Abidin,Zulkiffli Abdul Kadir,Muhamad Murrad +7 more
TL;DR: The development of an adaptive controller with fuzzy supervisory system for trajectory tracking control of an autonomous armoured vehicle is presented and experimental results for the controller are presented to evaluate the proposed controller.
Journal ArticleDOI
Modelling and PSO fine-tuned PID control of quadrotor UAV
TL;DR: In this article, a nonlinear dynamics model of x-configuration quadrotor using Newton-Euler modelling technique is described, and an individual PID controller for each roll, pitch, yaw and z where 12 parameters consist of kp, ki, and kd are fine-tuned using particle swarm optimization algorithms.
Proceedings ArticleDOI
A Particle Swarm Optimization Approach to Robotic Drill Route Optimization
Asrul Adam,Amar Faiz Zainal Abidin,Zuwairie Ibrahim,Abdul Rashid Husain,Zulkifli Md. Yusof,Ismail Ibrahim +5 more
TL;DR: A new model that implements Particle Swarm Optimization (PSO) in order to find optimized routing path when using the PCB Robotic Drill is proposed and is capable to find the shortest path for the robot to complete its task.
Journal ArticleDOI
Dynamic Behaviour of a Nonlinear Gantry Crane System
Hazriq Izzuan Jaafar,Zaharuddin Mohamed,Jasrul Jamani Jamian,Amar Faiz Zainal Abidin,Anuar Mohamed Kassim,Z. Ab Ghani +5 more
TL;DR: In this paper, a nonlinear Gantry Crane System (GCS) is derived using Lagrange equation and various system parameters of the system are tested to observe the actual behaviour of the dynamic model system.