Earticle

초록

영어

In this paper, we present a method of determining the parameters of a dynamic system using state estimate filter. State estimate filters such as Extended Kalman filter and the Unscented Kalman filter are widely used to estimate the status in robot and GPS navigation systems. However, in dynamic systems, determining parameters is difficult because many kinds of the dynamic systems have the properties like a non-linearity and complexity. The work we have done is that the status and parameters are simultaneously estimated to decide the parameter value based on the measurement data set of the system. The works were applied to a coupled tank. The mentioned system was modeled and then setup for computer simulations and experimental purposes to test the performance of the estimation process.

목차

Abstract
 1. Introduction
 2. Estimation Methods
  2.1 Extended Kalman Filter
  2.2 Unscented Kalman Filter
 3. System and Equipment
  3.1 Coupled Tank
  3.2 Data Acquisition System
 4. Experiments
  4.1 State Estimation
  4.2 Parameter Estimation
  4.3. Comparison
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Jihoon Seung [ Division of Electronics Engineering, Chonbuk National University, South Korea ]
• Amir Atiya F. [ Department of Electronics Engineering, Calro University, Egypt ]
• Alexander G. Parlos [ Department of Mechanical Engineering, Texas A&M University, USA ]
• Kilto Chong [ Division of Electronics Engineering, Chonbuk National University, Advanced Research Center for Electronics and information, JBNU, Jeonju, South Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605