Indianapolis, Indiana
June 15, 2014
June 15, 2014
June 18, 2014
2153-5965
Ocean and Marine
11
24.7.1 - 24.7.11
10.18260/1-2--19895
https://peer.asee.org/19895
822
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 processing, biometrics and watermarking. He is the current chair of the ASEE Ocean and Marine Engineering Division and is a senior member of IEEE.
Simulation and Control of Unmanned Underwater VehiclesAbstractAcademic exercises that demonstrate the theory give students an understanding of the conceptsbut generally without “real world” concerns and constraints. Problem based learning (PBL) hasbeen shown to excite students and get them more involved in discussions and the course.Students generally become excited when they design solutions for “real world” or “realistic”problems that are based upon applications and problems as they can visualize how their solutionswork or do not work for the given problem. With the continued reduction in resources availableto obtain large scale vehicles as well as the high cost of equipment, simulations become evermore important for illustrating control system designs to students. At a newlab exercise for an unmanned underwater vehicle has been created for students. The lab exercisesteps the students through the development of the physics based model for the system. Thisallows the students to better understand the vehicle’s movements in 3D as they explore thevehicle’s model. The students analyze the stability of the open loop system using methods theyhave learned during the lecture and then develop the control for the closed loop system. Themodel is then simulated in Matlab, Octave or another similar software program.With the developed model and closed loop control system, the model (physics based equations)can then be ported to simulation environments such as AUV Workbench, which was developedas a modeling tool to study and utilize physics based real time unmanned vehicle simulationoperating in “realistic environments.” The lab demonstrates how this model can be incorporatedinto AUV Workbench. Different controllers for the unmanned vehicle can also be implementedin AUV Workbench. AUV Workbench then acts as a visual demonstration of how the vehiclemoves in the 3D simulation environment giving the students more feedback on how thecontrollers would behave on a real system. The new “realistic” lab exercise’s efficacy isdemonstrated through each of the student’s increased understanding of control system concepts.
McLauchlan, L. (2014, June), Simulation and Control of an Unmanned Surface Vehicle Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--19895
ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2014 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015