Mohd Zamzuri Ab Rashid
Universiti Teknikal Malaysia Melaka

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Improvement of Pitch Motion Control of an Aircraft Systems Aishah Johari; Fitri Yakub; Hatta Ariff; Zainudin A. Rasid; Shamsul Sarip; Rudzidatulm Akmam Dziyauddin; Mohd Zamzuri Ab Rashid; Azizul Azizan; Yasuchika Mori
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 5: October 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i5.7434

Abstract

The movement of the aircraft pitch is very important to ensure the passengers and crews are in intrinsically safe and the aircraft achieves its maximum stability.The objective of this study is to provide a solution to the control system that features particularly on the pitch angle motion of aircraft systemin order to have a comfort boarding. Three controllers were developed in these projects which wereproportional integral derivative (PID), fuzzy logic controller (FLC), and linear quadratic regulator (LQR) controllers. These controllers will help improving the pitch angle and achievingthe target reference. By improving the pitch motion angle, the flight will be stabilized and in steady cruise (no jerking effect), hence provides all the passengers withthe comfort zone. Simulation results have been done and analyzed using Matlab software. The simulation results demonstrated LQR and FLC were better than PID in the pitch motion system due to the small error performance. In addition, withstrong external disturbances, a single controller is unable to control the system, thus, the combination of PID and LQR managed to stabilize the aircraft.
Sign Detection Vision Based Mobile Robot Platform Hairol Nizam Mohd Shah; Mohd Zamzuri Ab Rashid; Zalina Kamis; Mohd Shahrieel Mohd Aras; Nursabillilah Mohd Ali; Faizil Wasbari; Tengku Muhammad Mahfuz Tengku Anuar
Indonesian Journal of Electrical Engineering and Computer Science Vol 7, No 2: August 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v7.i2.pp524-532

Abstract

Vision system applied in electrical power generated mobile robot to provide a comfortable ride while providing comfort to tourist to interact with visitors. The camera is placed in front of the mobile robot to snap the images along in pathways. The system can recognized the sign which are right, left and up by using Harris corner algorithms and will be display in Graphical User Interface (GUI). A sign can be determined from the vertex coordinates according to the degree to distinguish the direction of the sign. The system will be tested in term of percentage of success in Harris point detection and availability to detect sign with different range. The result show the even though not all Harris point in an image can be detected but most of the images possible to recognise it sign direction.
Implementation of Object Recognition Based on Type of Vehicle Entering Main Gate Hairol Nizam Mohd Shah; Mohd Zamzuri Ab Rashid; Zalina Kamis; Muhammad Nizam Kamarudin; Mohd Fairus Abdollah; Alias Khamis
Indonesian Journal of Electrical Engineering and Computer Science Vol 3, No 2: August 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v3.i2.pp458-467

Abstract

This project related to develop and implementation of object recognition based on type of vehicle entering the main gate to facilitate the employment data of vehicles entering according to the types of vehicles. Data for the number of vehicles in accordance with the types recorded. In completing this project, there are two algorithms used, the detection algorithm and classification algorithm. Vehicles will be classified by comparison in terms of it front light area and will be stored in three types of vehicles; sedan, multipurpose van or van, and four wheel drive. Wireless camera is mounted with 1.6 meters high on the pipe rod at the guard house as input for the processing algorithm. Vehicle image will be captured by a wireless camera and then processed to identify its type. Data for the type of vehicle and number of vehicles by type is shown through the Graphical User Interface (GUI). Inflow and outflow of vehicles can be monitored via the control unit (GUI) without human monitoring at the entrance.