Pusat Pengajian Kejuruteraaan Elektrik dan Elektronik - Monograf

Browse

Recent Submissions

Now showing 1 - 5 of 924
  • Thumbnail Image
    Publication
    Zero energy indoor vertical farming system with internet of things (IOT) monitoring
    (2023-08)
    Muhammad Syamir bin Abdul Kader
    This project proposes a zero-energy indoor vertical farming system that utilizes the Internet of Things (IoT) for monitoring and control. The method seeks to address issues with urban areas' lack of space, high energy use and lack of access to food. The proposed system integrates renewable energy sources, such as solar panels to power the vertical farming system and reduce the reliance on the grid. The system may be made to store extra energy produced throughout the day in batteries for use at night or at times when there is little sunlight. The idea of using 18V solar panel and 12V 4.5Ah lead acid battery will be applied in this project. Because the indoor atmosphere can be adjusted and optimized for plant development, it also enables agricultural production throughout the year, independent of the weather. Moreover, it makes use of IoT technology to monitor and regulate environmental elements like lighting and water level to enhance plant growth and save water usage. It reduces water consumption through the use of recirculating hydroponic systems based on real-time environmental data. There will be 3 water level sensors will be used in this project. Real-time data from the system's sensors may be examined and utilized to change agricultural conditions remotely, enabling effective resource management. Overall, the zero-energy indoor vertical farming system with IoT monitoring offers a sustainable and cost-effective solution for urban agriculture. It has the potential to revolutionize the way we produce food by reducing water consumption, optimizing crop growth and improving resource management. By integrating renewable energy and IoT technology, this system can contribute to both food security and environmental sustainability.
  • Thumbnail Image
    Publication
    Wireless communication module for tetherless gripper using zigbee communication protocol
    (2023-08)
    Lee, Jian Sheng
    Industry 4.0 strives to address the challenge of increasing the production of services and products while facing limited natural resources. The goal is to achieve this without compromising the environment and social stability. However, one obstacle in the progress of fully automated manufacturing, specifically assembly lines, is the requirement to change the grippers on robotic arms. The pick-and-place operation is crucial in assembly lines, and different types of grippers are needed for products with a wide range of components, each with its own advantages and disadvantages. To overcome this, the concept of tetherless grippers has been introduced, aiming to revolutionize the gripper exchange system. Tetherless grippers use wireless signal and wireless power transfer technologies instead of cables. The current method of using ZigBee modules has some drawbacks, such as the string concatenation method requiring more bandwidth to transmit the same amount of useful information. It also lacks standard frame format encapsulation for anti-data-corruption and can only communicate between one end device and multiple components or multiple end devices and one component. The objectives of this project are to develop and validate a payload format that enables digital read and write, analog read and write, and servo motor control using the XBee's "64-bit Transmit Request" and "64-bit Receive Packet" API types for one coordinator and two end devices. The project also aims to implement and validate ZigBee wireless communication in the UR5 robotic arm and tetherless grippers through a pick-and-place demonstration. The payload format successfully performs servo motor control, digital output toggling, analog output amplitude, and reading from digital and analog inputs. The signal RSSI averages at 36dBm, which is a strong signal within the robot workspace. Moreover, the transmission success rate is 100% in an uncontrolled electromagnetic environment with Wi-Fi, Bluetooth, AM and FM radio. Additionally, the project successfully demonstrates the pick-and-place operation using tetherless grippers with the ZigBee communication protocol.
  • Thumbnail Image
    Publication
    VLSI design for low power home automation system
    (2023-08)
    Tan, Yong Liang
    The concept of home automation has attracted the attention of researchers and practitioners since past decades. Home automation having a huge market potential due to advancement of technology which lead to the rise of automation era. Thus, this project aims to design a compact Very Large Scale Integration (VLSI) based low power home automation system that integrate of three main subsystems which are environmental regulator system, security system and automated load transfer switch system. The process being automated is associated with input sensors. VLSI design processes including both front-end and back-end were implemented in designing the proposed home automation system by using Synopsys Electronic Design Automation EDA) tools. Front-end design including design and simulation of proposed system behaviour and functionalities in Register Transfer Level (RTL) by using Verilog Hardware Description Language (HDL). Besides, logical synthesis was implemented to generate the gate-level netlist for physical implementation in back-end design process. Low power techniques including clock gating and power optimization through comparison of RTL coding using different Verilog implementation were performed to achieve a low power consumption design. Power optimization also could be achieved with the use of EDA tools during VLSI design processes. The design metrics including the main focus which is power consumption were examined at both logical synthesis and physical implementation design stages. The final design of the proposed system consumed a total power of 98.6655µW with cell area of 4384.20µm2.
  • Thumbnail Image
    Publication
    Vibration-based fault detection in drones using mems vibration sensors and camera
    (2023-08)
    Dinagaran a/l Tamilselvam
    In recent years, utilization of drones or Unmanned Aerial Vehicles (UAVs) in various fields has risen drastically. With it, comes along the risk of safety or life risking accidents when a drone faces faults or failures. In this project, research has been made on the widely experienced drone faults such as propulsion faults. The propulsion faults, namely motor failure and a hex-rotor drone has been adopted in this project as the case of study. In this project, vibration-based fault detection technique along with acoustic based fault detection technique has been implemented to detect the anomaly caused by motor failure in the drone. The fault detection using both the described technique has been extracted from the drone in both ground mode and thrust mode. Along with the sensors, this project also includes the vibration estimation using an event-based camera which translates the measurement of events from each pixel to frequency in Hertz. The event-based camera, namely Prophesee SilkyEvCam EvC3A is used detect the frequency of the vibrating arm of the motor. The detected vibration frequency from the camera is then compared with the data from the vibration sensor which is transformed from time domain to frequency domain beforehand. Increased vibration was detected on the motor arm during the imbalanced propeller condition. Also, both vibration measurement of accelerometer and camera managed to detect different type of faults in the drone. By analysing the applicability of both the vibration-based detection technique this project aims to understand the likelihood of using event-based cameras to detect different faults in drones and compare vibration based measurement technique with data collected using acoustic-based measurement technique.
  • Thumbnail Image
    Publication
    Switching angle optimization analysis on low-level multilevel inverter
    (2023-08)
    Nazrun Naim bin Sobri
    The increasing prevalence of inverters in industrial contexts and the renewable energy industry can be attributed to their outstanding performance, modular build and minimal harmonic distortion in the output voltage waveform. Consequently, there has been a significant requirement to enhance the functionality and output quality of Multilevel Inverter (MLI). This has led to the development of inverter technology, which aims to improve output quality by minimising harmonics and losses. Various methods can be employed to decrease the harmonic constituents, such as implementing diverse topologies that are appropriate for the intended application, and utilising enhanced modulation techniques. The chosen case study for this paper involves the implementation of a single-phase Cascaded H-bridge-MLI topology utilising independent DC sources. This study proposes a technique to improve the Total Harmonic Distortion (THD) value of the MLI through the utilisation of the Particle Swarm Optimization (PSO) algorithm to calculate the optimal switching angle for THD improvement. The algorithm will be implemented utilising MATLAB and subsequently applied to the three distinct level of CHBMLI, which has been designed using MATLAB Simulink. The observation of the output characteristics of the MLI will be conducted for 3-level,5-level, and 7-level of CHBMLI. The objective of optimising the switching angle is to decrease the THD of the output and enhance the efficiency of the MLI. The PSO successfully reduced the THD of the 5-L MLI.