Genetic Algorithm-Based Model Order Reduction of Aeroservoelastic Systems with Consistent States

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Model Reduction for Aeroservoelastic Systems

A model-reduction method for linear, parameter-varying systems based on parameter-varying balanced realizations is proposed for a body freedom flutter vehicle. A high-order linear, parameter-varying model with hundreds of states describes the coupling between the short period and first bendingmode with additional structural bending and torsion modes that couple with the rigid body dynamics. How...

متن کامل

Linear, Parameter Varying Model Reduction for Aeroservoelastic Systems

This paper applies a model reduction method for linear parameter-varying (LPV) systems based on parameter-varying balanced realization techniques to a body freedom flutter (BFF) vehicle. The BFF vehicle has a coupled short period and first bending mode with additional structural bending and torsion modes that couple with the rigid body dynamics. These models describe the BFF vehicle dynamics wi...

متن کامل

Arnoldy based passive model order reduction algorithm

Many problems in modern interconnect and packaging design require use of ‘full-wave’ modeling in order to get a good accuracy at high frequencies. In this paper we will introduce passive Arnoldy based model order reduction algorithm for such systems.

متن کامل

Order Reduction of Linear Interval Systems Using Genetic Algorithm

This paper presents an algorithm for order reduction of higher order linear interval system into stable lower order linear interval system by means of Genetic algorithm. In this algorithm the numerator and denominator polynomials are determined by minimizing the Integral square error (ISE) using genetic algorithm (GA). The algorithm is simple, rugged and computer oriented. It is shown that the ...

متن کامل

Genetic Algorithm and Padé-Moment Matching for Model Order Reduction

Abstract—A mixed method for model order reduction is presented in this paper. The denominator polynomial is derived by matching both Markov parameters and time moments, whereas numerator polynomial derivation and error minimization is done using Genetic Algorithm. The efficiency of the proposed method can be investigated in terms of closeness of the response of reduced order model with respect ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Aircraft

سال: 2017

ISSN: 0021-8669,1533-3868

DOI: 10.2514/1.c034129