Nature-inspired Optimization Algorithms Applied to Control Systems
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hhttps://r6.ieee.org/scv-cs/?p=2007
During the design of control systems, the adjustment of the controller parameters plays a fundamental role in the performance of the transient and steady-state regimes. From this perspective, the tuning of controller parameters has been performed using various methods and tools, but recently, meta-heuristic algorithms have improved tuning procedures to ensure the operation and stability of those systems. Thus, optimization algorithms that mimic the evolution of self-organizing biological systems, also called nature-inspired algorithms, have gained great relevance due to their significant potential for solving optimization problems. In particular, this talk presents the basics of several nature-inspired optimization algorithms and their application to tune the parameters of the fuzzy logic controller of a nonlinear magnetic levitation system, and an energy management system for a residential microgrid. Various results are provided to highlight and compare the features of the optimized controllers.
Date and Time
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- Date: 15 Feb 2022
- Time: 06:00 PM to 07:30 PM
- All times are (GMT-08:00) US/Pacific
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Speakers
Enrique V. Carrera
Nature-inspired Optimization Algorithms Applied to Control Systems
Biography:
Prof. Carrera
Moderator:
Vishnu S. Pendyala, PhD is an ACM Distinguished Speaker, Book Author, and has over two decades of experience in the software industry. He teaches Machine Learning and other Applied Data Science courses at San Jose State University.
https://www.sjsu.edu/people/vishnu.pendyala/index.html