filter and an op-amp,which transforms the signal to a DC voltage. The PCB permits 256 states of thrust.The next step is to identify and analyze motor response to input signals. The motor does notchange linearly to a linear change in percent modulation. The measurement data of the motorresponse is shown in Figure 4-a. This non-linearity is countered by using MATLAB® tocompare the actual motor values to a desired linear set of values ranging from minimum tomaximum motor current. The percent modulation, which corresponds to the desired current, isplaced in a look up table, which is represented in Figure 4-b. Finally, the motor values are bandlimited to 20% of maximum possible thrust. The thrust limitation is implemented because watertesting of the
, assembly and demonstration project named Perseus II, sponsored by the Office of theSecretary of Defense’s Rapid Reaction Technology Office (RRTO). The goal of this challenge-based engineering project was to explore if a team (a) with just a general background inengineering (role filled by undergraduate students), (b) modest resourcing and (c) in a relativelyshort period of time, could assemble an underwater vehicle to perform a specified mission. Theproject culminated with the operational demonstration of the underwater vehicle in a dive lagoonand the acquired engineering skills. Ultimately, we believe this project uniquely exposedundergraduate students, including minorities, to challenging real-world ocean engineeringproblems so as prepare or
multi-hopcommunication to connect two nodes that might be distant as depicted in Figure 8 as comparedto a direct communication between A and B [17]. Page 24.59.6 A B Figure 8. Multi-hop Communication [17]Thus each node in the WSN will communicate with its neighbor for node A to communicate withnode B. Each node in the communication link, however, will consume energy to receive the dataand there will be communication overhead to handle the message at eachnode [17]. The WSN energy consumption and communication
were reached with respect to the graduate student’s performance onthe project and with respect to the efficacy of the Ike Dike concept. (1). The following graduate student results and conclusions were obtained. (a). Valuable experience was gained working on a real world very high visibility Page 24.25.13 engineering project (a rare opportunity at the M.S. level). (b). Students performed the following tasks: • Set up input data for the CFD simulation. • Analyzed the CFD results (with professorial guidance). • Performed the comparison of Hurricane
Paper ID #10126Simulation and Control of an Unmanned Surface VehicleDr. Lifford McLauchlan, Texas A&M University, Kingsville Dr. Lifford McLauchlan completed his Ph.D. at Texas A&M University, College Station. After spending time in industry, he has returned to academia. He is an associate professor at Texas A&M University- Kingsville in the Electrical Engineering and Computer Science Department. His main research interests include controls, robotics, education, adaptive systems, intelligent systems, signal and image process- ing, biometrics and watermarking. He is the current chair of the ASEE Ocean and Marine
Paper ID #10010SAMPLE: Small Autonomous Monitoring Platform for Lakes and Estuaries,a Student Engineering ProjectMr. Moustapha Diab, University of Maryland Eastern Shore Moustapha Diab is currently a mechanical engineering master’s student and a research assistant in the Fastening and Joining Research Institute (FAJRI) at Oakland University. Mr. Diab graduated from the University of Maryland Eastern Shore with a degree in Engineering with a mechanical engineering spe- cialization. During his senior undergraduate year, Mr. Diab along with a group of undergraduates, de- signed and built an autonomous boat to monitor water
harvested energy), and the powered system(load) that interact with the energy harvester19-21. The energy harvesting system architecture,designed after several steps is shown in Figure 2. The harvester architecture consists of four mainsubsystems: a) PV and micro wind turbine; b) the MPPT systems that sense and control thebuffer stage forcing the PV module and micro wind turbine to work in most efficient conditions;c) buffer stage stores the energy collected form the solar module and/or micro wind turbine intothe super-capacitors and battery; and c) output stage generates a stable voltage supply for thelow-power WSN applications. In the following we introduce the building blocks providingdesign guidelines and considerations, which help to optimize
Paper ID #10656Real Collaborative Environments Using Technologies Based on Mobile De-vices and Internet ToolsProf. Carlos Efr´en Mora, La Laguna University Carlos E. Mora is professor of the Maritime Engineering Department at La Laguna University located in Tenerife (Spain). He obtained a master’s degree in Marine Engineering and has been teaching since 2004. His research interests include the use of ITs and mobile devices in engineering education, and other related technologies like augmented reality. He is also qualified as a consultant for the integration of Apple technologies in education, and working towards
Paper ID #10809Lessons in On-Campus and Distance Learning Delivery of an IntroductoryNaval Architecture CourseDr. Jennifer Grimsley Michaeli PE, Old Dominion University Dr. Michaeli is an Assistant Professor in the Department of Engineering Technology of Old Dominion University. She received her PhD in Mechanical Engineering from Old Dominion University, her MSc in Ocean Systems Management from Massachusetts Institute of Technology, and her BSc in Naval Archi- tecture and Marine Engineering from Webb Institute. Prior to her arrival to ODU, Dr. Michaeli over 15 years with the Department of Defense and industry as a Naval