Report on Hydrogen Superhighway
International Journal of Engineering Research and Development e-ISSN: 2278-067X, p-ISSN : 2278-800X, www.ijerd.com
Volume 5, Issue 2 (December 2012), PP. 44-46
System Identification-Different Techniques
Ramesh Kr1, Chitranjan Kr2, Ruchita3
1
National Institute of Technology Patna, 2PSCET Vaishali, 3RIET Jaipur
Abstract:- Engineering applications require description of the dynamic behavior of the system. Though a no. of applications are known in the field of system identification, three techniques are considered for the identification of linear system. Different techniques are frequency chirp, coherence function and pseudoinverse. In chirp method, wideband excitation such as frequency chirp is used. Frequency response is obtained as the DFT of the output of the system for time-domain input. Inverse method uses SVD function to find pseudoinverse. Coherence function has been used to identify the system using MATL AB function tfestimate. The performances of the methods are demonstrated by means of experimental investigation.
Keywords:- System Identification, SUT, Pseudoinverse, Coherence, Frequency chirp.
I.
INTRODUCTION
System identification[1] is a powerful tool in engineering. Its various methods in the frequency and in the time domain have extensively discussed in CISM courses [2]. It deals with the problem of identifying a model describing some physical system by measuring the response of the system. This is don e by designing the input signal, which is applied to the system [3], whereas output is taken as impulse response of system. Input signal is used for excitation. In this paper identification has been achieved by basic approaches as variable frequency signa l (chirp), coherence function and pseudo inverse. II.
SYSTEM IDENTIFICATION
A suitable system is considered for the application at hand. Then a special input signal is designed such that the system captures the behavior of the system to be modeled. Then an i
Volume 5, Issue 2 (December 2012), PP. 44-46
System Identification-Different Techniques
Ramesh Kr1, Chitranjan Kr2, Ruchita3
1
National Institute of Technology Patna, 2PSCET Vaishali, 3RIET Jaipur
Abstract:- Engineering applications require description of the dynamic behavior of the system. Though a no. of applications are known in the field of system identification, three techniques are considered for the identification of linear system. Different techniques are frequency chirp, coherence function and pseudoinverse. In chirp method, wideband excitation such as frequency chirp is used. Frequency response is obtained as the DFT of the output of the system for time-domain input. Inverse method uses SVD function to find pseudoinverse. Coherence function has been used to identify the system using MATL AB function tfestimate. The performances of the methods are demonstrated by means of experimental investigation.
Keywords:- System Identification, SUT, Pseudoinverse, Coherence, Frequency chirp.
I.
INTRODUCTION
System identification[1] is a powerful tool in engineering. Its various methods in the frequency and in the time domain have extensively discussed in CISM courses [2]. It deals with the problem of identifying a model describing some physical system by measuring the response of the system. This is don e by designing the input signal, which is applied to the system [3], whereas output is taken as impulse response of system. Input signal is used for excitation. In this paper identification has been achieved by basic approaches as variable frequency signa l (chirp), coherence function and pseudo inverse. II.
SYSTEM IDENTIFICATION
A suitable system is considered for the application at hand. Then a special input signal is designed such that the system captures the behavior of the system to be modeled. Then an i
References: R.I. Damper, Introduction to Discrete-Time Signals and Systems, Chapman & Hall, London, 1995. D. J. Ewins. Modal: Theory, Practice and applications . Engineering Dynamic Series. Research Studies press Ltd., Baldock, Hertfordshire, England, second ed ition, 2000. D.L. Donoho, De-noising by soft-thresholding, IEEE Trans. Inform. Theory 41 (3) (1995) 613 –627.