세미나 및 이벤트
System Identification and Optimal Model Reduction for linear Time-Invariant and Periodic Systems wit
세미나 날짜
2005-08-09
작성자
빈종훈
작성일
2005-08-23
조회
1617
1. 제 목 : System Identification and Optimal Model Reduction for linear Time-Invariant and Periodic Systems with Multiple Inputs
2. 연 사 : 김 태 현 박사 (The Boeing Company, Seattle, WA, USA)
3. 일 시 : 2005년 8월 9일 (화) 15:00 - 16:00
4. 장 소 : 서울대 신공학관(301동) 117호 세미나실
5. 내 용 : Presented in this seminar is a new, efficient discrete-time domain system identification/model reduction method for linear dynamic systems with multiple inputs. The method is based on a modification of the Eigensystem Realization Algorithm (ERA) and a simultaneous excitation of multiple inputs, also known as the Single-Composite-Input (SCI). Since the system response is sampled almost exclusively for the single representative input, this technique can significantly reduce model construction time when applied to large-scaled computational models such as Computational Fluid Dynamic (CFD) models where moving surface boundary is normally described by many structural mode inputs. The algorithm was originally developed for time-invariant systems but an effort has been made to make it applicable to time-periodic systems as well. Application to general CFD systems and formulation of reduced-order aeroelastic models are also presented. For a demonstration of the method, a rectangular flat plate in incompressible subsonic flow modeled by the vortex lattice method (VLM) and six vibrational modes is considered. It is shown that the proposed system identification and model reduction scheme can reduce the model construction time significantly, yet its unsteady aerodynamic and aeroelastic results are as accurate as those created by other methods
6. 약 력 : Dr. Kim has worked at the Boeing Company for 8 years. Prior to this, he was a research associates at Georgia Tech. Dr. Kim’s areas of specialty are structural dynamics and aeroservoelasticity, reduced-order modeling of large-scaled dynamic systems, structural optimization and integration of dynamic systems. At Boeing, he has developed innovative computational tools to enhance rapid estimation of dynamic loads, flutter and control laws, all of which are essential to designing modern aircraft. He is currently working on system identification and order reduction of unsteady aerodynamic and aeroelastic models based on CFD technology. He received his B.S. and M.E. degrees from Ajou University, M.S. from University of Texas at Austin, and Ph.D. from MIT.
7. 문 의 : 기계항공공학부 신상준 교수 (☏ 880-1642)
2. 연 사 : 김 태 현 박사 (The Boeing Company, Seattle, WA, USA)
3. 일 시 : 2005년 8월 9일 (화) 15:00 - 16:00
4. 장 소 : 서울대 신공학관(301동) 117호 세미나실
5. 내 용 : Presented in this seminar is a new, efficient discrete-time domain system identification/model reduction method for linear dynamic systems with multiple inputs. The method is based on a modification of the Eigensystem Realization Algorithm (ERA) and a simultaneous excitation of multiple inputs, also known as the Single-Composite-Input (SCI). Since the system response is sampled almost exclusively for the single representative input, this technique can significantly reduce model construction time when applied to large-scaled computational models such as Computational Fluid Dynamic (CFD) models where moving surface boundary is normally described by many structural mode inputs. The algorithm was originally developed for time-invariant systems but an effort has been made to make it applicable to time-periodic systems as well. Application to general CFD systems and formulation of reduced-order aeroelastic models are also presented. For a demonstration of the method, a rectangular flat plate in incompressible subsonic flow modeled by the vortex lattice method (VLM) and six vibrational modes is considered. It is shown that the proposed system identification and model reduction scheme can reduce the model construction time significantly, yet its unsteady aerodynamic and aeroelastic results are as accurate as those created by other methods
6. 약 력 : Dr. Kim has worked at the Boeing Company for 8 years. Prior to this, he was a research associates at Georgia Tech. Dr. Kim’s areas of specialty are structural dynamics and aeroservoelasticity, reduced-order modeling of large-scaled dynamic systems, structural optimization and integration of dynamic systems. At Boeing, he has developed innovative computational tools to enhance rapid estimation of dynamic loads, flutter and control laws, all of which are essential to designing modern aircraft. He is currently working on system identification and order reduction of unsteady aerodynamic and aeroelastic models based on CFD technology. He received his B.S. and M.E. degrees from Ajou University, M.S. from University of Texas at Austin, and Ph.D. from MIT.
7. 문 의 : 기계항공공학부 신상준 교수 (☏ 880-1642)
