Content area

Abstract

This paper introduces all the possible topologies of the Wien bridge oscillator family. This family has 72 topologies, 24 of them contain only RC or RL pairs, and the rest contain mixed pairs. The complete mathematical analysis of all twelve possible capacitive-based topologies is proposed in the fractional-order domain. The investigated circuits can be categorized into two groups, each with a similar characteristic equation. Three integer-order approximation techniques for the Laplacian operator \[s^\alpha \] are employed to solve and simulate the Wien bridge system. The studied approximations are those of Matsuda, Oustaloup, and Valsa’s network. Fractional-order capacitor (FOC) emulators are built using these approximations and applied in the circuit simulation. Comparisons are made on different levels, starting with the mathematical solution of the characteristic equation, followed by PSpice simulation, which compares topologies of the Wien bridge oscillator family. Hardware implementation of the FOC emulators is presented applying passive discrete components using the Foster-I technique. Additionally, sensitivity tests of the discrete components of the FOC emulators are performed using Monte Carlo analysis. Experimental results are introduced to validate the theoretical findings.

Details

Title
All Possible Topologies of the Fractional-Order Wien Oscillator Family Using Different Approximation Techniques
Author
Elwy, Omar 1 ; Said, Lobna A 1   VIAFID ORCID Logo  ; Madian, Ahmed H 2 ; Radwan, Ahmed G 3 

 Nanoelectronics Integrated Systems Center (NISC), Nile University, Giza, Egypt 
 Nanoelectronics Integrated Systems Center (NISC), Nile University, Giza, Egypt; Radiation Engineering Department, NCRRT, Egyptian Atomic Energy Authority, Cairo, Egypt 
 Engineering Mathematics Department, Faculty of Engineering, Cairo University, Giza, Egypt; School of Engineering and Applied Sciences, Nile University, Giza, Egypt 
Pages
3931-3951
Publication year
2019
Publication date
Sep 2019
Publisher
Springer Nature B.V.
ISSN
0278081X
e-ISSN
15315878
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2185197356
Copyright
Circuits, Systems, and Signal Processing is a copyright of Springer, (2019). All Rights Reserved.