Angular Steering for Proportional Navigation-commanded Surface-to-air Guided Missile

The paper briefly reviews the guidance laws and their implementation in surface-to-airmissiles. The trajectories for the line-of-sight and proportional navigation guidance laws arediscussed and the effect of steering on demand for increased lateral acceleration is appreciated.The mathematical model is then evolved to estimate the launch angle of the missile, ie, bearingand elevation, in the direction of the future position of the moving air target as well as thesteering commands in pitch and yaw planes in accordance with the proportional navigationguidance law, to enable collision with the target

Angular Stabilisation on an Unstable Platform

The paper studies the problem of angular stabilisation of direction-sensitive devices placedon a moving platform subjected to instability in pitch, roll, and yaw. The mathematical model andthe quantitative correction required for stabilising the same in bearing and elevation have beenevolved

The True Power of the MEMESat-1 CubeSat: Using FreeFlyer to Develop Advanced Power Simulations

The University of Georgia\u27s Small Satellite Research Lab\u27s Mission for Education and Multimedia Engagement Satellite (MEMESat-1) requires the use of variables such as power generation, power draw, orbital path, packet size, and data processing times. As power generation and change varies, MEMESat-1 will automatically transition through three operational modes to prevent battery depletion and halt system processes in case of anomalies. Taking these variables and operational modes into account, the MEMESat-1 Mission Operations (MOPS) team will use FreeFlyer software to create a power simulation model useful for analyzing power generation and draw during MEMESat-1\u27s orbital cycle. The power limitations of MEMESat-1 are budgeted based on battery and solar cell specifications implying the necessity of power simulations by MOPS

Development of the MOCI ADCS-01 Verification Test

The members of the Guidance and Navigation Control team (GNC), whose primary goal is to calculate the commands needed to steer the Cubesat where it is desired to be, determine the CubeSat\u27s orbital parameters such as the positions, and adjust the path of the CubeSat to meet mission requirements, will be conducting research at the University of Georgia Small Satellite Research Laboratory (SSRL). This research will be focused on helping test the Attitude Determination Control System (ADCS) of the Multiview Computational Onmoard Imager (MOCI) CubeSat, which is a system that is responsible for determining and maintaining the orientation of the CubeSat. According to the University Nanosatellite Program (UNP), which is the lab\u27s primary stakeholder, the purpose of the ADCS Verification Test, which is a test that ensures the CubeSat points in the desired nadir direction for capturing accurate images of specific areas such as coastal areas on the Earth\u27s surface. Under this ADCS verification test, there are eight requirement verification methods (RVM). The research examines the first verification test, ADCS-01. ADCS-01 is a verification test to verify that the Cubesat\u27s wheels moved at the requested speed and that it commanded the wheels to spin. ADCS-01 states that the reaction wheels shall be able to rotate fast enough to keep the maximum boresight error within 25% of the distance that makes up the primary imager\u27s field of view (FOV) nadir ground coverage

Development of MEMESat-1 Passive Magnetic Attitude Control ADCS Simulations

MEMESat-1 is a satellite mission out of the University of Georgia Small Satellite Research Laboratory. MEMESat-1 utilizes a passive magnetic attitude control (PMAC) system as its attitude determinations control system (ADCS). Due to the fact that MEMEsat-1 is funded by a non-profit, Let’s Go to Space, and does not have restrictive pointing requirements, the PMAC system is an advantageous ADCS solution. PMAC also requires no power to operate as opposed to an active magnetic attitude control. This is important because it allows more of MEMESat-1’s power to go toward payload operations. Instead, the PMAC system utilizes an internal bar magnets, nutation dampers and hysteresis rods, to stabilize the system as a combatant environmental torques in the low Earth orbit (LEO) environment. We will make our simulation in MATLAB song with its Aerospace and Satellite Communication Toolbox. We will be expecting a 70% decrease in nutation and spin via the PMAC components. Our ADCS will be finished when the simulations can prove the components to be able to meet our pointing requirements

Development of a Low-Cost Energy Storage Solution for CubeSats

The Board of Batteries (BoBa) is the battery management and energy storage board for MEMESat-1. BoBa captures the energy generated by solar panels during periods of illumination and provides power to the satellite during eclipse. This research focuses on the development of a simple and effective electrical subsystem that uses a low-cost Lithium-Ion battery pack to store and supply power to the satellite. Heating and battery management circuits keep the batteries within desired temperature and voltage ranges. BoBa’s objective is a simple and low-cost satellite energy storage system; consequently, these designs are implemented with affordable consumer parts. BoBa challenges the necessity of expensive and complicated power systems by providing an accessible, inexpensive, and straightforward solution for CubeSats

Secure Cloud Architecture for Protecting the Software of Space Vehicles

As the number of space vehicles launched into outer space increases over time, the need to determine and counter possible cyber attacks from malicious agents will drastically increase. A potential solution to this problem is to create a cloud architecture that a spacecraft can use for autonomous detection or recovery from cyber attacks when out range of a ground station. For this work, the development of a new cloud architecture for space vehicles is proposed which allows users to control access to information or applications within the system while using the self-healing capabilities of containers. The cloud architecture will first be tested without the use of any containerization to establish a control. Afterwards, experiments will be conducted to test the effectiveness of different proposed security measures such as security vulnerabilities, cyber-hardening of the architecture, and logging. This research will then use qualitative and quantitative metrics, such as a pass or fail test, self-healing time of containers, and the number of vulnerable access points to determine the effectiveness of each of these measures

Enhancing the detection and classification of coral reef and associated benthic habitats: A hyperspectral remote sensing approach

Coral reefs and associated benthic habitats are heterogeneous in nature. A remote sensor designed to discriminate these environments requires a high number of narrow, properly placed bands which are not currently available in existing satellite sensors. Optical hyperspectral sensors mounted on aerial platforms seem to be appropriate for overcoming the lack of both high spectral and spatial resolution of satellite sensors. This research presents results of an innovative coral reef application by such a sensor. Using hyperspectral Airborne Imaging Spectroradiometer for Applications (AISA) Eagle data, the approach presented solves the confounding influence of water column attenuation on substrate reflectance on a per-pixel basis. The hyperspectral imagery was used in band ratio algorithms to derive water depth and water column optical properties (e.g., absorption and backscattering coefficients). The water column correction technique produced a bottom albedo image which revealed that the dark regions comprised of sea grasses and benthic algae had albedo values ≈15%, whereas sand- and coral-dominated areas had albedos \u3e30% and ≈15–35%, respectively. The retrieved bottom albedo image was then used to classify the benthos, generating a detailed map of benthic habitats, followed by accuracy assessment

Developing a Comprehensive Power Simulation Model for the MEMESat-1 CubeSat Using Orbital Dynamics

The University of Georgia’s Small Satellite Research Lab’s Mission for Education and Multimedia Engagement Satellite (MEMESat-1) requires the use of variables such as power generation, power draw, orbital path, packet size, and data processing times. As power generation and charge varies, MEMESat-1 will automatically transition through three operational modes to prevent battery depletion and halt system processes in case of anomalies. Taking these variables and operational modes into account, the MEMESat-1 Mission Operations (MOPS) team will use FreeFlyer software to analyze power generation and draw during MEMESat-1’s orbital cycle. The power limitations of MEMESat-1 are budgeted based on battery and solar cell specifications implying the necessity of power simulations by MOPS