Nature-inspired Optimization Algorithms Applied to Control Systems

33 views
Download
  • Share
#control systems #meta-heuristic algorithms #fuzzy logic #tuning

(50:04 + Q&A) Prof. Enrique V. Carrera, Armed Forces University, Ecuador -- transient, steady-state, tuning, meta-heuristic algorithms, self-organizing, fuzzy logic controller ...  

Summary: 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.

(50:04 + Q&A) Prof. Enrique V. Carrera, Armed Forces University, Ecuador -- transient, steady-state, tuning, meta-heuristic algorithms, self-organizing, fuzzy logic controller ... 
Summary: During the design of control systems, the adjustment of the controller parameters plays a fundamental role in the performance ...

Speakers in this video

Advertisment

Advertisment