In this paper the adaption of the software environment ’Multi-Objective Parameter Synthesis’ (MOPS) for controller gain optimization is presented. The definition of the optimization criteria, as well as their implementation to the optimization environment are shown. Worst-case searches are conducted to evaluate the effect of uncertainties on the control loop’s performance and stability. The methodology of this controller optimization and robustness analysis are demonstrated by means of the torque control for electro-mechanical flight surface actuation. This technology is pursued for future commercial aircraft
This article proposes a linear matrix inequality–based robust controller design approach to implemen...
The flight control law design assessment problem can be formulated as a robustness analysis problem,...
Spotlighting the field of Multidisciplinary Design Optimization (MDO), this book illustrates and imp...
A multi–objective evolutionary algorithm is used in the framework of H1 control theory to find the ...
© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Bu çalışma ile, verilen bir kontrolcü yapısı için çelişen hedeflerin aynı anda sağlanabileceği kontr...
The aim of this work is to develop an effective numerical tool oriented to optimization of stabilize...
Industrial software often has many parameters that critically impact performance. Frequently, these ...
The application of multiobjective optimization to the design of longitudinal automatic-landing contr...
This thesis is devoted toMultiobjective Optimization Design (MOOD) procedures for controller tuning...
This thesis presents one of the first applications of H∞-optimization to the design of controllers f...
One of the core ideas in this thesis is to determine how single- and multiobjective design optimizat...
In a physical system several targets are normally being considered in which each of nominal and robu...
This book is devoted to Multiobjective Optimization Design (MOOD) procedures for controller tuning a...
From the perspective control practitioners, control of dynamics systems subjected to varying paramet...
This article proposes a linear matrix inequality–based robust controller design approach to implemen...
The flight control law design assessment problem can be formulated as a robustness analysis problem,...
Spotlighting the field of Multidisciplinary Design Optimization (MDO), this book illustrates and imp...
A multi–objective evolutionary algorithm is used in the framework of H1 control theory to find the ...
© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Bu çalışma ile, verilen bir kontrolcü yapısı için çelişen hedeflerin aynı anda sağlanabileceği kontr...
The aim of this work is to develop an effective numerical tool oriented to optimization of stabilize...
Industrial software often has many parameters that critically impact performance. Frequently, these ...
The application of multiobjective optimization to the design of longitudinal automatic-landing contr...
This thesis is devoted toMultiobjective Optimization Design (MOOD) procedures for controller tuning...
This thesis presents one of the first applications of H∞-optimization to the design of controllers f...
One of the core ideas in this thesis is to determine how single- and multiobjective design optimizat...
In a physical system several targets are normally being considered in which each of nominal and robu...
This book is devoted to Multiobjective Optimization Design (MOOD) procedures for controller tuning a...
From the perspective control practitioners, control of dynamics systems subjected to varying paramet...
This article proposes a linear matrix inequality–based robust controller design approach to implemen...
The flight control law design assessment problem can be formulated as a robustness analysis problem,...
Spotlighting the field of Multidisciplinary Design Optimization (MDO), this book illustrates and imp...