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Modeling, analysis, and robust adaptive fuzzy control for a class of switching power converters
- Source :
- 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA).
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- This paper presents a control centric modeling and analysis approach along with a nonlinear control design for a class of switching power converters. A comprehensive model combining the respective state variable models of the interval subsystems is established. Comparison with PSpice simulation justifies the credibility of the model. Based on this model, internal/BIBO stability can be studied for each interval subsystem. Moreover, controllability and observability can also be analyzed to help determining subsequent control configuration. The established model is further investigated for advanced control design, i.e., robust adaptive fuzzy control.
- Subjects :
- Class (computer programming)
State variable
Computer science
020208 electrical & electronic engineering
020206 networking & telecommunications
02 engineering and technology
Interval (mathematics)
Fuzzy control system
Converters
Controllability
Control theory
0202 electrical engineering, electronic engineering, information engineering
Observability
BIBO stability
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)
- Accession number :
- edsair.doi...........b6df46d6de7ef0bfbfdc3d826e909641
- Full Text :
- https://doi.org/10.1109/iciea.2017.8283013