Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/487198
Title: Magnetic resonator coupling for near-field wireless power transfer of the Internet of Things applications in vertical alignment condition
Authors: Aqeel Mahmood Jawad Abu-Alshaeer (P83588)
Supervisor: Rosdiadee Nordin, Assoc. Prof. Ir. Dr.
Keywords: Universiti Kebangsaan Malaysia -- Dissertations
Dissertations, Academic -- Malaysia
Internet of Things
Magnetic resonator coupling
Vertical alignment
Issue Date: 27-May-2021
Description: Near-field wireless power transfers (WPTs) have seen major developments in recent years due to the increasing popularity and availability of smart devices for the Internet of Things (IoT) applications. As an energy-harvesting technique based on magnetic resonator coupling (MRC), WPT can charge batteries in smart devices, especially in mobile IoT devices where changing the batteries can be inconvenient. In addition to requiring a battery charging facility, various coil designs in drones severely limit flight time and battery life. Furthermore, misalignment between the transmitter and receiver coils in a WPT battery charging system limits power transfer and efficiency, thus limiting the potential of WPT for use in future IoT applications. The aim of this research is to increase transfer distance and energy-efficiency by reducing the payload (Q-factor = 60), and to overcome distance misalignment conditions. To achieve the first aim, two near-field WPT techniques-a double-receiver copper wire coil (DRCWC) and a multi-different copper wire coil (MDCWC)-were designed and developed. An MDCWC having a covered copper wire coil design improved transfer power to 5.04 W and efficiency to 84% at 20 mm with a 100 Ω loaded system. The power generated from the WPT circuit was sufficient to charge a smartphone. The next step involved the simulation of a first single-tube loop aluminum coil (FSTLAC) in the receiver circuit and a first multi-tube spiral copper coil (FMTSCC) in the transmitter circuit; this would allow a drone battery to efficiently recharge when the FSTLAC is in alignment (vertical) with the FMTSCC at the drone landing location. With a loaded system, results showed that the FSTLAC and the FMTSCC in a class E power amplifier (PA) improved transfer power, output current, and efficiency to 52.22 W, 0.72 A and 87.03%, respectively, for MRC WPT. Finally, the issue of lateral misalignment between transmitter and receiver coils was addressed by employing a second single tube loop aluminum coil (SSTLAC) in the receiver circuit and a second multi-tube spiral copper coil (SMTSCC) in the transmitter. The testing utilized coils in distance tests that ranged from 20 to 500 mm in vertical alignment and extended over various ranges (20, 50, 80, 100, and 150 mm) of lateral misalignment. The simulated and experimental results showed improved transfer distances at 20 mm of vertical and lateral misalignment. When the drone battery was loaded into the system with an air gap of 20 mm, the maximum transfer power, output current, and efficiency were 21.12 W, 0.460 A, and 81.5%, respectively, while the power generated was 19.22 W and transfer efficiency was 74.15% at the maximum lateral misalignment air gap of 20 mm. However, it should be noted that the proposed Force Sensitive Resistor (FSR) detected the direction of the pad when the drone landed on it. Based on the results of transfer efficiency, the accuracies of the simulated and measured results were reduced to 9.44% and 10% at vertical alignment, and to 21 % in lateral misalignment. From the above results, a model of a class E power amplifier was developed to test misalignment coils using HFSS 15.03 software. The results revealed that the coil geometry contributed to improving the performance metrics in terms of weight and transfer power. This study provides evidence that MRC is a suitable technique for addressing both vertical and lateral misalignment and for improving power transfer efficiency in several IoT applications, such as in smart devices and drones for smart agriculture.,Ph.D.
Pages: 302
Publisher: UKM, Bangi
Appears in Collections:Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina

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