Day 1 :
Keynote Forum
James M. Free
Director, NASA Glenn Research Center
USA
Keynote: Advanced technology historical development and technology advancements in electric aircraft and spacecraft propulsion
Time : 09:00 - 09:30
Biography:
James Free serves as the director at the National Aeronautics and Space Administrations John H. Glenn Research Center in Cleveland, Ohio. In this position, which he assumed on January 4, 2013, he is responsible for planning, organizing and directing the activities required in accomplishing the missions assigned to the center. Glenn is engaged in research, technology and systems development programs in space propulsion, space power, space communications, aeronautical propulsion, microgravity sciences and materials. Prior to accepting the directors position, Free served as Glenns deputy director since November 2010.
Abstract:
As it approaches its seventy-fifth year of existence, the NASA John H. Glenn Research Center has pushed the boundary of technologies for aircraft and spacecraft propulsion. Originally know as the Aircraft Engine Research Laboratory (AERL), the facility began through advancement of aircraft engines in support of the war effort as well as icing research. Moving through its history, the center retained a focus on engine performance, noise and emissions while also unlocking the challenges of high performance in-space propulsion systems. Today, NASA Glenn is pushing the boundaries of future air travel charting a course towards more electric and eventually all-electric aircraft. In parallel, NASA Glenn is leading eh development of high power solar electric propulsion (SEP) systems that will serve to enable human exploration architectures through a robust and efficient logistic train to destinations such as Mars. Rooted in its history and building on the future, NASA Glenn enables electric propulsion.
Keynote Forum
Matthew Greenhouse
NASA Goddard Space Flight Center
USA
Keynote: The james webb space telescope mission
Time : 09:30 - 10:00
Biography:
Matthew Greenhouse has served on the James Webb Space Telescope senior staff as Project Scientist for the JWST science instrument payload since 1997. He specializes in infrared imaging spectroscopy, development of related instrumentation and technologies, flight project science, and technical management. Dr Greenhouse has served on several NASA and European Space Agency (ESA) flight mission teams. He supported ESA\'s Infrared Space Observatory mission as a member of the Long Wavelength Spectrometer instrument team. He supported the NASA Stratospheric Observatory for Infrared Astronomy mission by serving on its Independent Annual Review Board as Co-Chair, and served on both its Interim Management Review Board, and Science Steering Committee. He supported the NASA Spitzer mission by serving on its Community Task Force as Legacy Science Program Chair and the Hubble Space Telescope Wide Field Camera 3 instrument project by serving on numerous gateway technical review boards. Dr. Greenhouse has been a member of the NASA Astrophysics Working Group, and has supported ground-based astronomy through membership on the National Science Foundation Committee of Visitors, and numerous selection committees and review boards for major ground-based instrumentation.
Abstract:
The James Webb Space Telescope is the scientific successor to the Hubble Space Telescope. It is a cryogenic infrared space observatory with a 25 m2 aperture telescope that will extend humanities’ high angular resolution view of the universe into the infrared spectrum to reveal early epochs of the universe that the Hubble cannot see. The Webb’s science instrument payload includes four cryogenic near-infrared sensors that provide imagery, coronagraphy, and spectroscopy over the near- and mid-infrared spectrum. The JWST is being developed by NASA, in partnership with the European and Canadian Space Agencies, as a general user facility with science observations to be proposed by the international astronomical community in a manner similar to the Hubble. The Webb’s technology development and mission design are complete. Construction, integration and verification testing is underway in all areas of the program. The JWST is on schedule for launch during 2018.
Keynote Forum
Robert E Skelton
University of California, San Diego
USA
Keynote: Tensegrity Engineering: Using control theory for form-finding in tensegrity structures
Time : xx
Biography:
Robert Skelton is Professor emeritus at UCSD and a TIAS Faculty Fellow at Texas A&M. He is a member of the National Academy of engineering, a member of the Thomas Green Clemson Academy of Science, a Fellow of AIAA and IEEE, and a joint recipient of the Norman Medal from ASCE. He has awards from the Japanese society from the Promotion of Science, the Alexander von Humboldt Foundation. He held the Russell Severance Springer Chair at UCB. Of his 5 books, the most recent are Tensegrity Systems (with de Oliveira) and A Unified Algebraic Approach to Linear Control Design (with Iwasaki and Grigoriadis).
Abstract:
Traditionally structure and control design are treated as separate problems and the methods used to solve those problems do not preserve desirable features of the other discipline. That is, we currently have no theory which can guarantee a minimal mass structure design (a statics problems), while guaranteeing minimal control energy for the control problem (a dynamics problems). By integrating structure and control design one can save both structural mass and control energy. Tensegrity Engineering is a phrase used to describe our attempt to integrate these multi-disciplinary design functions. This talk will focus only on the static design, the tensegrity form-finding problem, while preserving the controllability features of the structure. We will design a dynamic feedback control law that can take the structure from some initial configuration to a prespecified desired final configuration. Then this final steady state stable equilibrium is a solution to the desired form-finding problem to minimize mass subject to yield or buckling constraints. This “dynamic relaxation†method of form-finding integrates the dynamic equations of motion to steady state and then observes the final stable equilibrium configuration. If this final steady-state configuration is not acceptable, then changes in the design are made and dynamic relaxation is tried again. Our method modifies the structural dynamics (by adding a control law) to guarantee convergence to the desired configuration, if the desired configuration is achievable.
Keynote Forum
Richard W. Longman
Columbia University
USA
Keynote: Robustification of repetitive control systems for high accuracy and high speed operation
Time : 10:15 - 10:45
Biography:
Richard W. Longman is professor of mechanical and of civil engineering, Columbia University, and was Distinguished Romberg Guest Professor, University of Heidelberg, Germany. He received a 50,000 Euro Award for lifetime achievement in research from the Alexander von Humboldt Foundation, and the Dirk Brouwer Award from the American Astronautical Society (AAS) for contributions to spaceflight mechanics. He is Fellow of AAS and AIAA. He served the AAS as Vice President - Publications, VP Technical, First Vice President, and Member Board of Directors. His PhD is from the University of California, San Diego. Professor Longman has coauthored approximately 450 publications.
Abstract:
Repetitive Control (RC) is a relatively new field that aims to fully cancel the effects of periodic disturbances in a feedback control system, or aims to follow a periodic command perfectly. This is accomplished by looking at the error in the previous period, and adjusting the command given the feedback control system in the current period. Spacecraft applications include eliminating vibrations of fine pointing equipment, such as in a telescope, produced by rotation of the feedback control actuators, e.g. control moment gyros. Aircraft applications include the repetitive processes in manufacturing that can need high precision, and can benefit from fast operation when possible. RC is very unusual in the control field because it asks for zero error tracking a periodic signal. RC challenges typical control system analysis methods. Model inaccuracy can easily produce instability. Various methods of robustifying RC to model error are presented.
Keynote Forum
Shaaban Abdallah
University of Cincinnati
USA
Keynote: Efficient patterned vertical axis wind turbine farms
Time : 10:45 - 11:15
Biography:
Shaaban Abdallah, a professor of Aerospace Engineering, has been at the university of Cincinnati since 1989. He obtained his PhD in Aerospace Engineering at the university of Cincinnati in 1980. Dr. Abdallah joined Penn State University from 1981 to 1988. His research interests include Computational Fluid Dynamics, nano fluids, Turbo-machines, Unmanned Aerial Vehicles and Medical devices. Abdallah has two US patents on centrifugal compressors and three disclosures with university of Cincinnati on medical devices.
Abstract:
A patterned wind turbine farm is a new concept for development of power generationusing vertical axis wind turbines (VAWTs). In this study, we developed efficient patterned vertical axis wind turbine farms that consist of multiples of three VAWT clustershaving the same topology with scaled geometrical ratios of the cluster.The farms have high efficiency compared to conventional aligned and staggered farmlayouts. The developed cluster is based on the numerical study of the efficiency of clusters of two VAWTs in parallel and oblique layouts.The numerical model isvalidated by solving two- and three-dimensional turbulent flows through single Savonius and Darrieus VAWTs at different tip speed ratios and the results for the power coefficient show good agreements with the available experimental data.The developed triangular cluster has an enhanced average power coefficient up to 26% higher than that of an isolated turbine. The cluster generates 3.2 times the power generated by an isolated turbine with a power ratio 1:1.2:1 between its individual turbines. The developed farms have the same power scaling factor andpower coefficient enhancement ratios of the three turbine cluster. Numerical solutions of farms that consist of nine and twenty-seven turbinesconfirmthe pattern and the enhanced power coefficient. The scaling factor of 3.2 can be used to predict the performance of larger farms with the same topology to save processing time and man power.