Design pipe bracket for vessel with using Titanium metal in marine environment

The research investigates the design and utilization of the pipe bracket with titanium metal for the ocean going vessel to confront marine environment. The main aim of this report is to study the performance of titanium metal compared with other materials when they are being used in marine environment .Another aim of this report is to design pipe bracket for the ocean going vessel, then did the simulation and calculation of the loads which applied on the pipe bracket. The studying of my aims were targeted during all the phases of this project. This report has gone through several stages so that be achieved. The first phase was referring the gathering information about the primary mechanical properties of titanium metal as light weight, flexible and strong resistance to corrosion. The different corrosion properties of pipe material and how they interact together with titanium metal or sea water. The second phase was concerning three different pipe types (rigid support, adjustable support, elastic support) and choose the type of adjustable due to it makes easily assemble due to nuts and bolts could be rearranged for adjusting the support when using on the vessel. Mention the Standard pipe size for using in different place and having a design drawing of my pipe bracket. The next phase was doing mechanical analysis of my bracket model on the Solidworks program and maximum loads which were applied on the bracket were calculated by using related formulas. The last phase was considering the manufacturing process for the pipe bracket and having the primary cost for making and selling it

Joint Frequency Regulation and Economic Dispatch Using Limited Communication

We study the performance of a decentralized integral control scheme for joint power grid frequency regulation and economic dispatch. We show that by properly designing the controller gains, after a power flow perturbation, the control achieves near-optimal economic dispatch while recovering the nominal frequency, without requiring any communication. We quantify the gap between the controllable power generation cost under the decentralized control scheme and the optimal cost, based on the DC power flow model. Moreover, we study the tradeoff between the cost and the convergence time, by adjusting parameters of the control scheme. Communication between generators reduces the convergence time. We identify key communication links whose failures have more significant impacts on the performance of a distributed power grid control scheme that requires information exchange between neighbors

Cooperative Localization under Limited Connectivity

We report two decentralized multi-agent cooperative localization algorithms in which, to reduce the communication cost, inter-agent state estimate correlations are not maintained but accounted for implicitly. In our first algorithm, to guarantee filter consistency, we account for unknown inter-agent correlations via an upper bound on the joint covariance matrix of the agents. In the second method, we use an optimization framework to estimate the unknown inter-agent cross-covariance matrix. In our algorithms, each agent localizes itself in a global coordinate frame using a local filter driven by local dead reckoning and occasional absolute measurement updates, and opportunistically corrects its pose estimate whenever it can obtain relative measurements with respect to other mobile agents. To process any relative measurement, only the agent taken the measurement and the agent the measurement is taken from need to communicate with each other. Consequently, our algorithms are decentralized algorithms that do not impose restrictive network-wide connectivity condition. Moreover, we make no assumptions about the type of agents or relative measurements. We demonstrate our algorithms in simulation and a robotic~experiment.Comment: 9 pages, 5 figure

Data-driven Localization and Estimation of Disturbance in the Interconnected Power System

Identifying the location of a disturbance and its magnitude is an important component for stable operation of power systems. We study the problem of localizing and estimating a disturbance in the interconnected power system. We take a model-free approach to this problem by using frequency data from generators. Specifically, we develop a logistic regression based method for localization and a linear regression based method for estimation of the magnitude of disturbance. Our model-free approach does not require the knowledge of system parameters such as inertia constants and topology, and is shown to achieve highly accurate localization and estimation performance even in the presence of measurement noise and missing data