Design and implimentation of a supervisory safety controller for a 3DOF helicopter

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Includes bibliographical references (p. 79-80).This research effort presents the design and implementation of a supervisory controller for a 3DOF helicopter. This safety critical system is used in undergraduate laboratories in the Department of Aeronautics and Astronautics at MIT. There already exists a framework for designing a supervisory safety controller for motions about one axis. It is based on an analytical description of the safety region in state space. However, this framework cannot be easily extended to more complicated systems such as a 3DOF helicopter. In this thesis we present a different approach which uses a real-time simulation of linearized plant dynamics with a feedback law to ensure the system's safety. We describe the development of the system model, the design and implementation of the supervisory safety controller, integration of the safety controller as part of a remote laboratory and its evaluation based on its performance during laboratory exercises.by Mariya A. Ishutkina.S.M

Analysis of the interaction between air transportation and economic activity : a worldwide perspective

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2009.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Includes bibliographical references (p. 303-313).Air transportation usage and economic activity are interdependent. Air transportation provides employment and enables certain economic activities which are dependent on the availability of air transportation services. The economy, in turn, drives the demand for air transportation services resulting in the feedback relationship between the two. The objective of this work is to contribute to the understanding of the relationship between air transportation and economic activity. More specifically, this work seeks to (1) develop a feedback model to describe the relationship between air transportation and economic activity and (2) identify factors which stimulate or suppress air transportation development. To achieve these objectives this work uses an exploratory research method which combines literature review, aggregate data and case study analyses. First, this work uses data at the individual country level to identify different types of growth patterns between air transportation passengers and GDP for 139 countries. This analysis is then used to identify twenty-two representative countries which span a range of possible interaction behaviors, geographies and income categories. The case study analysis at the individual country level is performed to describe the air transportation impact for each individual economy. These findings help develop a feedback model which describes the relationship between air transportation and economic activity.(cont.) Specifically, the analysis is used to describe (1) how air transportation flows of passengers and cargo enable the flows of goods, services, knowledge, tourism, investment, remittances and labor among economies and (2) how air transportation flows can affect the country's factor, demand and business conditions. The feedback model is then extended to perform quantitative analysis of the evolution of the enabling impact of air transportation in a particular economy. Specifically, a quantitative system dynamics model is developed to describe the interaction between the demand for leisure travel and the resulting enabling impact of tourism on Jamaica's economy. Case study analysis is also used to identify factors which may stimulate or suppress air transportation system development. The factors are identified both from the air transportation supply and demand sides. The following supply side change factors are identified: changes in the regulatory framework, infrastructure capability, vehicle capability and airline strategy. The air transportation demand is found to be directly affected by exogenous demand shocks, economic downturns, political and economic sanctions, and the development of other transportation modes. The analysis also identifies the following change factors which affect the demand indirectly by changing the country's economic attributes: economic liberalization, institutional and political reforms, supporting infrastructure investment, exchange rate fluctuations, political and macroeconomic stability, growing consumer demand, and changes in management practices.(cont.) This analysis of stimulating and suppressing factors helps to describe the role of government intervention in changing air transportation system development and its impact on economic activity. The results of this work can help guide further development efforts, investment and policy decisions pertaining to air transportation usage especially in developing economies.by Mariya A. Ishutkina.Ph.D

Analysis of the Interaction Between Air Transportation and Economic Activity: A Worldwide Perspective

Air transportation usage and economic activity are interdependent. Air transportation provides employment and enables certain economic activities which are dependent on the availability of air transportation services. The economy, in turn, drives the demand for air transportation services resulting in the feedback relationship between the two. The objective of this work is to contribute to the understanding of the relationship between air transportation and economic activity. More specifically, this work seeks to (1) develop a feedback model to describe the relationship between air transportation and economic activity and (2) identify factors which stimulate or suppress air transportation development. To achieve these objectives this work uses an exploratory research method which combines literature review, aggregate data and case study analyses.This work was supported by theMIT’s Global Airline Industry Program under the Alfred P. Sloan Foundation grants # 2002-12-7 and # 2006-3-7, by the U.S. Federal Aviation Administration (FAA) under the Joint University Program (JUP) grant # FAA 95-G-017 and by the U.S. Federal Aviation Administration (FAA) grant # DTFA01-C-00030

Analysis of the Interaction Between Air Transportation and Economic Activity: A Worldwide Perspective

Air transportation usage and economic activity are interdependent. Air transportation provides employment and enables certain economic activities which are dependent on the availability of air transportation services. The economy, in turn, drives the demand for air transportation services resulting in the feedback relationship between the two. The objective of this work is to contribute to the understanding of the relationship between air transportation and economic activity. More specifically, this work seeks to (1) develop a feedback model to describe the relationship between air transportation and economic activity and (2) identify factors which stimulate or suppress air transportation development. To achieve these objectives this work uses an exploratory research method which combines literature review, aggregate data and case study analyses.This work was supported by theMIT’s Global Airline Industry Program under the Alfred P. Sloan Foundation grants # 2002-12-7 and # 2006-3-7, by the U.S. Federal Aviation Administration (FAA) under the Joint University Program (JUP) grant # FAA 95-G-017 and by the U.S. Federal Aviation Administration (FAA) grant # DTFA01-C-00030

Benefits Assessment Methodology for an Air Traffic Control Tower Advanced Automation System

This paper presents a benefits assessment methodology for an air traffic control tower advanced automation system called the Tower Flight Data Manager (TFDM), which is being considered for development by the FAA to support NextGen operations. The standard FAA benefits analysis methodology is described, together with how it has been tailored to the TFDM application to help inform the development process and the business case for system deployment. Parts of the methodology are illustrated through data analysis and modeling, and insights are presented to help prioritize TFDM capability development. I

Speech Communication

Contains table of contents for Part IV, table of contents for Section 1, reports on six research projects, one report on the research laboratory and a list of publications.C.J Lebel FellowshipDennis Klatt Memorial FundNational Institutes of Health Grant R01-DC00075National Institutes of Health Grant R01-DC01291National Institutes of Health Grant R01-DC01925National Institutes of Health Grant R01-DC02125National Institutes of Health Grant R01-DC02978National Institutes of Health Grant R01-DC03007National Institutes of Health Grant R29-DC02525-01A1National Institutes of Health Grant F32-DC00194National Institutes of Health Grant F32-DC00205National Institutes of Health Grant T32-DC00038National Science Foundation Grant IRI 93-14967National Science Foundation Grant INT 94-2114