Optimizing Fractional-Order Controllers for Nonlinear Processes
Author Information
Author(s): Jayaram Sabavath, Venkatesan Nithya
Primary Institution: Vellore Institute of Technology, Chennai
Hypothesis
The AGTM optimization technique can effectively design Fractional-Order controllers for nonlinear systems.
Conclusion
The AGTM optimization method significantly improves the performance of Fractional-Order controllers in regulating liquid levels in nonlinear systems.
Supporting Evidence
- The AGTM method allows for flexible controller design without restrictions on model order.
- Fractional-Order controllers showed superior performance metrics compared to traditional controllers.
- Real-time experiments validated the effectiveness of the AGTM optimization technique.
Takeaway
This study shows how a special method can help control the liquid levels in tanks better, making sure they stay steady even when things change.
Methodology
The study used simulations and real-time experiments to compare the performance of Fractional-Order and Integer-Order controllers designed using the AGTM optimization technique.
Limitations
The study may not account for all real-world complexities in nonlinear systems.
Digital Object Identifier (DOI)
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