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A new and simple method to construct root locus of general fractional-order systems
Mukesh D Patil1, Vishwesh A Vyawahare1, Manisha K Bhole2
1Department of Electronics Engineering, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai 400 706, India.
This study introduces a simplified method for analyzing the stability of fractional-order (FO) linear systems. By transforming FO systems into integer-order counterparts, root locus plots can be easily generated to determine stability and control gain ranges.
Area of Science:
- Control Systems Engineering
- Applied Mathematics
- Dynamical Systems Theory
Background:
- Fractional-order (FO) differential equations are increasingly utilized in advanced modeling and control applications.
- The inherent multivalued nature of FO systems necessitates stability definitions based on Riemann surfaces.
- Existing root locus methods for FO systems are often complex and yield incomplete analyses.
Purpose of the Study:
- To propose a simplified and effective method for plotting and analyzing the root locus of fractional-order linear systems.
- To facilitate a more straightforward assessment of stability for FO systems.
- To determine the range of amplifier gain (k) for maintaining system stability.
Main Methods:
- Transformation of fractional-order systems into equivalent integer-order systems.
- Plotting the root locus of the transformed integer-order system in the s-plane.
- Comparative analysis of root locus plots between original FO systems and their transformed counterparts.
Main Results:
- The proposed method yields root locus plots with identical shape and structure to those of the original FO systems.
- Stability of the FO system can be reliably inferred from the root locus of the transformed integer-order system.
- The method provides clear insights into the gain (k) margins for ensuring stability.
Conclusions:
- The developed root locus plotting technique offers a significantly simpler and more direct approach compared to existing methods for FO systems.
- This simplified analysis enhances the practical application of fractional-order control systems.
- The method's reliability is validated through analytical calculations and comparative studies.
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