Control Systems for the Next Century’s Fighter Engines

1992 ◽  
Vol 114 (4) ◽  
pp. 749-754 ◽  
Author(s):  
C. A. Skira ◽  
M. Agnello
Keyword(s):  
Control System ◽  
System Design ◽  
Control Systems ◽  
Engine Performance ◽  
Control System Design ◽  
Development Phase ◽  
Hardware Configuration ◽  
Propulsion Control ◽  
Technology Capability ◽  
Advanced Development

The paper describes a conceptual control system design based on advanced technologies currently in the exploratory development phase, and, in some cases, emerging into the advanced development phase. It explores future propulsion control systems that focus on improvements in three areas: (1) significantly reducing control system weight; (2) enhancing engine performance (thrust, sfc, etc.); and (3) improving control system reliability and tolerance to high-threat environments (temperature, vibration, EMI, EMP, etc.). The factors that will influence the design and hardware configuration of future propulsion control systems are described. Design goals for future systems, based on the DOD/NASA IHPTET Initiative, and projections of emerging technology capability (and availability) form the basis for future propulsion control system design requirements and for estimating future hardware configurations.

Control Systems for the Next Century’s Fighter Engines

1991 ◽  
Author(s):  
Charles A. Skira ◽  
Mark Agnello
Keyword(s):  
Control System ◽  
System Design ◽  
Control Systems ◽  
Engine Performance ◽  
Control System Design ◽  
Development Phase ◽  
Hardware Configuration ◽  
Propulsion Control ◽  
Technology Capability ◽  
Advanced Development

The paper describes a conceptual control system design based on advanced technologies currently in the exploratory development phase, and, in some cases, emerging into the advanced development phase. It explores future propulsion control systems that focus on improvements in three (3) areas: 1) significantly reducing control system weight; 2) enhancing engine performance (thrust, sfc, etc.); and 3) improving control system reliability and tolerance to high threat environments (temperature, vibration, EMI, EMP, etc.). The factors that will influence the design and hardware configuration of future propulsion control systems are described. Design goals for future systems, based on the DOD/NASA IHPTET Initiative, and projections of emerging technology capability (and availability) form the basis for future propulsion control system design requirements and for estimating future hardware configurations.

A Robustness Analysis Tool for Fleetwide Variability and Degradation Assessment in Propulsion Control Systems

2007 ◽  
Author(s):  
Carl Byington ◽  
Michael Roemer ◽  
Sanket Amin ◽  
Pattada Kallappa ◽  
Glen Karlsons
Keyword(s):  
Control System ◽  
System Design ◽  
Control Systems ◽  
Robustness Analysis ◽  
Flight Dynamics ◽  
Software Tool ◽  
Integrated Approach ◽  
Control System Design ◽  
Analysis Tool ◽  
Propulsion Control

The desire to enlarge the flight envelope of tactical aircraft and provide enhanced maneuvering capabilities has led to the use of forces and moments produced by the propulsion system to directly influence aircraft dynamics. This coupling between propulsion and flight dynamics is significant enough that traditional techniques for control system design and analysis are either conservative or inaccurate. An integrated approach is required in order to obtain an overall system that provides stability and performance with minimum pilot workload. The authors propose a solution that integrates existing techniques for linear robustness analysis, nonlinearity analysis, optimization, and robust identification into a software tool that facilitates the analysis of robustness of stability and dynamic performance of propulsion control systems and investigates the system’s ability to meet aggregate performance measures, specifically in the presence of fleet-wide component “variability.” The paper first discusses the motivation for the solution by identifying the variability problem in control system design. Following this, an overview of the proposed solution is presented with highlights of key elements, including a discussion on nonlinearity assessment techniques. The paper next describes the prototype version of the software tool and its initial analytical capabilities. Results of the prototype as applied against a nonlinear, engine control model using two different optimization routines, Genetic Algorithms and Particle Swarm Optimization, are presented to demonstrate the promising performance of both algorithms for finding the worst variability due to operating condition flight dynamics and aerothermal component degradation.

Design Analysis of Electrical Control System for the Gear Teaching Simulator

2014 ◽  
Vol 602-605 ◽  
pp. 1481-1484
Author(s):  
Miao Shang ◽  
Guo Min Lin ◽  
Wen Guang Zhang ◽  
Fei Zhou
Keyword(s):  
Control System ◽  
System Design ◽  
Control Systems ◽  
Performance Indicators ◽  
Design Analysis ◽  
Control System Design ◽  
Electrical Control ◽  
Operating Variables ◽  
Technical Performance ◽  
Electric Control

Through the analysis of technical performance indicators of the gear teaching simulator, main technical indexes and design goals of electric control system are proposed; Scheme of electrical control system is analyzed; Control systems, controlled variables, operating variables and detection devices are selected. For the realization of electric control system design of the gear teaching simulator, improving the performance of the gear teaching simulator, it has an important guiding significance.

Management Control System Design and Employees' Autonomous Motivation

2019 ◽  
Vol 32 (3) ◽  
pp. 71-91
Author(s):  
Clara Xiaoling Chen ◽  
Jeremy B. Lill ◽  
Thomas W. Vance
Keyword(s):  
Control System ◽  
System Design ◽  
Control Systems ◽  
Online Survey ◽  
Positive Association ◽  
Autonomous Motivation ◽  
Management Control ◽  
Data Availability ◽  
Control System Design ◽  
Management Control System

ABSTRACT Using an online survey of 468 U.S. employees from diverse industries and professions, we provide empirical evidence that management control system design choices can affect autonomous motivation in employees. Drawing on self-determination theory and the levers of control framework, we predict and find that employee autonomous motivation is positively associated with the use of beliefs control systems and interactive control systems and negatively associated with the use of diagnostic control systems. Moreover, we find that the joint use of diagnostic and interactive controls is positively associated with autonomous motivation. We also find a positive association between employees' autonomous motivation and individual self-reported effort, job performance, and creativity. Additional analyses examine the sources of motivation behind these results, focusing on identified motivation. The theory and results of our study provide a potential explanation for the recent trend in practice of organizations increasingly emphasizing their values and higher purposes. Data Availability: Data are available upon request.

Control Systems

2019 ◽  
pp. 31-40
Author(s):  
Pierre-Loïc Garoche
Keyword(s):  
Control System ◽  
Differential Equations ◽  
Control Theory ◽  
System Design ◽  
Ordinary Differential Equations ◽  
Control Systems ◽  
Control Design ◽  
Control System Design ◽  
Typical Development ◽  
Typical Process

This chapter sketches the typical development of control systems and refers the reader to classical books for more details on control system design. Historically, control design started in the continuous world: a system had to be controlled, and its dynamics was captured by the equations of physics, for example, using ordinary differential equations. Then, control theory provides means to build a controller: another system, used in combination with the system to be controlled, is able to move the system to the requested state. The chapter thus begins by presenting a typical process leading to the development of a controller in the aerospace domain. It then gives an idea of each step.

Computer-Aided Control System Design and Control Performance for Active Vibration Control Systems Based on μ Synthesis Theory

1994 ◽  
Vol 6 (4) ◽  
pp. 304-311
Author(s):  
Kenzo Nonami ◽  
◽  
Qi-fu Fan ◽  
Keyword(s):  
Control System ◽  
Vibration Control ◽  
System Design ◽  
Control Systems ◽  
Active Vibration Control ◽  
Singular Value ◽  
Control System Design ◽  
Robust Performance ◽  
Computer Aided ◽  
Active Vibration

The <I>H</I>∞ control theory is currently the most powerful method for robust control theory, and is useful as well as practical because a great amount of software related to computer-aided control system design is available. However, it has some disadvantages in that the <I>H</I>∞ control system is a conservative one and cannot deal with robust performance. This is due to maximum singular values. Doyle proposed a structured singular value instead of a maximum singular value. This is called ∞ synthesis theory and actively deals with robust performance using D-K iteration. This paper is concerned with computeraided design of active vibration control systems based on the μ synthesis theory. First, the paradigm of the μ synthesis theory is described concerning μ, robust performance, and D-K iteration. Next, the relationships between the μ controller, robust performance, nominal performance, and robust stability are discussed for vibration control systems.

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