This paper describes a novel approach to the problem of control mode analysis for advanced concept gas turbine aero-engines. Using a multiobjective evolutionary algorithm, candidate control modes are selected and tested on models of the propulsion system to assess performance, safety, stability and other important design criteria. An example controller design problem, considering some of the problems likely to be associated with new variable cycle engine concepts, is presented to demonstrate how the proposed approach may be employed to examine many design objectives, from different disciplines, in parallel. Potential control schemes are evaluated and compared with one another within an optimization framework. This comparative analysis of di...
Abstract: This paper focuses on multi-objective optimisation of staged combustion control for aviati...
This paper describes the design of a fuzzy logic controller for a gas turbine aero-engine based on m...
Genetic algorithms (GAs) are parameter search techniques that rely on analogies to natural biologica...
The control configuration design problem is to find appropriate sets of closed - and/or open-loop co...
This paper describes a novel approach to the design of a control system for an aircraft gas turbine ...
This paper describes the use of multiobjective genetic algorithms (MOGAs) in the design of a multiva...
The gas turbine aero-engine control systems over the past eight decades have been thoroughly investi...
A multi-stage design approach that uses a multiobjective genetic algorithm as the framework for opti...
In this thesis the main theme is to demonstrate the potential performance improvements of gas turbin...
This paper describes an approach to the systems integration problem using multiobjective genetic alg...
This paper describes the use of multiobjective genetic algorithms (MOGAs) in the design of a multiva...
Turbojet engines are becoming increasingly complex, with more control variables, to meet future dema...
This thesis describes the application of H∞ design techniques to the control of high performance aer...
This thesis describes the development of GESTPAN (GEneral Stationary and Transient Propulsion ANalys...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX170381 / BLDSC - British Library D...
Abstract: This paper focuses on multi-objective optimisation of staged combustion control for aviati...
This paper describes the design of a fuzzy logic controller for a gas turbine aero-engine based on m...
Genetic algorithms (GAs) are parameter search techniques that rely on analogies to natural biologica...
The control configuration design problem is to find appropriate sets of closed - and/or open-loop co...
This paper describes a novel approach to the design of a control system for an aircraft gas turbine ...
This paper describes the use of multiobjective genetic algorithms (MOGAs) in the design of a multiva...
The gas turbine aero-engine control systems over the past eight decades have been thoroughly investi...
A multi-stage design approach that uses a multiobjective genetic algorithm as the framework for opti...
In this thesis the main theme is to demonstrate the potential performance improvements of gas turbin...
This paper describes an approach to the systems integration problem using multiobjective genetic alg...
This paper describes the use of multiobjective genetic algorithms (MOGAs) in the design of a multiva...
Turbojet engines are becoming increasingly complex, with more control variables, to meet future dema...
This thesis describes the application of H∞ design techniques to the control of high performance aer...
This thesis describes the development of GESTPAN (GEneral Stationary and Transient Propulsion ANalys...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX170381 / BLDSC - British Library D...
Abstract: This paper focuses on multi-objective optimisation of staged combustion control for aviati...
This paper describes the design of a fuzzy logic controller for a gas turbine aero-engine based on m...
Genetic algorithms (GAs) are parameter search techniques that rely on analogies to natural biologica...