Turbofan engine control design using robust multivariable control technologies

2000 ◽  
Vol 8 (6) ◽  
pp. 961-970 ◽  
Author(s):  
D.K. Frederick ◽  
S. Garg ◽  
S. Adibhatla
Keyword(s):  
Control Design ◽  
Multivariable Control ◽  
Engine Control ◽  
Turbofan Engine ◽  
Control Technologies

Optimal Control of Turbine Engines

1979 ◽  
Vol 101 (2) ◽  
pp. 117-126 ◽  
Author(s):  
R. L. DeHoff ◽  
W. Earl Hall
Keyword(s):  
Optimal Control ◽  
Optimal Design ◽  
Control Design ◽  
Multivariable Control ◽  
Turbine Engines ◽  
Linear Modeling ◽  
Turbofan Engine ◽  
Turbine Engine ◽  
Design Procedures ◽  
Modeling Techniques

Multivariable control design for turbine engines has been studied for over 20 years. In the last 10 years, the application of linear, optimal design techniques has produced a number of turbine engine controllers. A group of these design procedures is described and a discussion of the procedures’ performance, complexity and implementation is presented. The design of a full-envelope controller for the F100 turbofan engine based on linear, optimal synthesis and locally linear modeling techniques is discussed. A perspective of optimal control design for turbine engines is presented and the future is examined.

scholarly journals A Comparison of Multivariable Control Design Techniques for a Turbofan Engine Control

1995 ◽  
Author(s):  
Stephen R. Watts ◽  
Sanjay Garg
Keyword(s):  
Data Storage ◽  
Design Method ◽  
Rate Capability ◽  
Control Design ◽  
Multivariable Control ◽  
Primary Control ◽  
Linear Quadratic ◽  
Turbofan Engine ◽  
Design Procedures ◽  
Design Techniques

This paper compares two previously published design procedures for two different multivariable control design techniques for application to a linear engine model of a jet engine. The two multivariable control design techniques compared were the Linear Quadratic Gaussian with Loop Transfer Recovery (LQG/LTR) and the H–Infinity (H∞) synthesis. The two control design techniques were used with specific previously published design procedures to synthesize controls which would provide equivalent closed loop frequency response for the primary control loops while assuring adequate loop de-coupling. The resulting controllers were then reduced in order to minimize the programming and data storage requirements for a typical implementation. The reduced order linear controllers designed by each method were combined with the linear model of an advanced turbofan engine and the system performance was evaluated for the continuous linear system. Included in the performance analysis are the resulting frequency and transient responses as well as actuator usage and rate capability for each design method. The controls were also analyzed for robustness with respect to structured uncertainties in the unmodeled system dynamics. The two controls were then compared for performance capability and hardware implementation issues.

FAULT TOLERANT MULTIVARIABLE CONTROL OF A MILITARY TURBOFAN ENGINE

2005 ◽  
Vol 38 (1) ◽  
pp. 538-543 ◽  
Author(s):  
Dan Ring ◽  
Anna-Karin Christiansson ◽  
Melker Härefors
Keyword(s):  
Fault Tolerant ◽  
Multivariable Control ◽  
Turbofan Engine

Comparison of Different Multivariable Control Design Methods Applied on Half Car Test Setup

2006 ◽  
Vol 12 (3) ◽  
pp. 307-324 ◽  
Author(s):  
David Vaes ◽  
Kris Smolders ◽  
Jan Swevers ◽  
Paul Sas
Keyword(s):  
Control Design ◽  
Design Methods ◽  
Multivariable Control ◽  
Test Setup

Implementation of a Multivariable Control

2000 ◽  
Author(s):  
Louis J. Larkin ◽  
James Philpott
Keyword(s):  
Fixed Point ◽  
Control System ◽  
Programming Language ◽  
Multivariable Control ◽  
Engine Control ◽  
Engine Control System ◽  
Canonical Formulation ◽  
Technology Demonstrator

A multivariable control (MVC) was designed and implemented for the Joint Technology Demonstrator Engine (JTDE) XTE65-2. The engine control system utilized an existing MC68000 processor that used fixed point ADA for its programming language and was limited in throughput and memory. A canonical formulation for the MVC compensator was used to minimize memory and calculation load on the processor. Use of this formulation resulted in a number of numerical difficulties. This paper relates the issues associated with the implementation of a MVC in this environment, and some approaches to solve these difficulties.

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