Frequency response analysis methods for open-loop servo drives and control systems

2020 ◽  
pp. 108-114
Author(s):  
Oleg B. Belonogov
Keyword(s):  
Frequency Response ◽  
Control Systems ◽  
Open Loop ◽  
Response Analysis ◽  
Frequency Response Analysis ◽  
Servo Drive ◽  
Response Data ◽  
Analysis Methods ◽  
Servo Drives ◽  
And Control

The paper presents results of development of frequency response analysis methods for open-loop servo drives and control systems, which use frequency response data of closed-loop servo drives and control systems obtained using Fourier and Laplace transforms of transient response calculated using their linear or linearized math models. The methods that have been developed can be used for approximate calculation of frequency response of servo drives and control systems based on their math models with slight non-linearities. Equations are derived for calculating frequency response of open-loop servo drives and control systems for several particular cases of feedback loop transfer function. The paper studies the efficiency of the developed frequency response analysis methods for open-loop servo drives and control systems. The obtained frequency response data for open-loop servo drives and control systems can be used for evaluating the amplitude and phase stability margins for these entities. Key words: frequency response; open-loop servo drive; control systems.

scholarly journals Spread Spectrum Sensing Techniques for Transformer Frequency Response Data

2019 ◽  
Vol 8 (12) ◽  
pp. 5203-5210
Keyword(s):  
Frequency Response ◽  
Spread Spectrum ◽  
Data Security ◽  
Additive White Gaussian Noise ◽  
Direct Sequence Spread Spectrum ◽  
Response Analysis ◽  
Direct Sequence ◽  
Frequency Response Analysis ◽  
Response Data ◽  
Frequency Hopping Spread Spectrum

With the advent of wireless communication, the problem of data security is of greatest interest. In this paper, spread spectrum techniques have been employed due to its advantages in providing data security. Further, the mechanical integrity of a transformer is investigated using an off-line diagnosis test called as Frequency Response Analysis (FRA). The FRA data of a transformer has been taken as the input signal which is being transmitted from the field where transformer is kept and received at the control room. Furthermore, Direct Sequence Spread Spectrum (DSSS) and Frequency Hopping Spread Spectrum (FHSS) are employed on FRA data and analyzed the signals by transmitting over Additive white Gaussian noise (AWGN) and Rayleigh faded Channels.

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