Search results for "T-S fuzzy model"

showing 2 items of 2 documents

H∞ fuzzy control of DC-DC converters with input constraint

2012

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2012/973082 Open access This paper proposes a method for designing H∞ fuzzy control of DC-DC converters under actuator saturation. Because linear control design methods do not take into account the nonlinearity of the system, a T-S fuzzy model and a controller design approach is used. The designed control not only handles the external disturbance but also the saturation of duty cycle. The input constraint is first transformed into a symmetric saturation which is represented by a polytopic model. Stabilization conditions for the H∞ state feedba…

EngineeringArticle Subjectinput constraintsstate feedback systemGeneral Mathematicssimulation examplePlantControl theoryactuator saturationspolytopic modelsexternal disturbancesbusiness.industrylcsh:MathematicsGeneral EngineeringFuzzy control systemConvertersLyapunov approachlcsh:QA1-939VDP::Mathematics and natural science: 400::Mathematics: 410Constraint (information theory)Nonlinear systemDuty cyclelcsh:TA1-2040T-S fuzzy modelscontroller designsState (computer science)businessSaturation (chemistry)lcsh:Engineering (General). Civil engineering (General)linear control design
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Robust Predictive Control of a variable speed wind turbine using the LMI formalism

2014

This paper proposes a Robust Fuzzy Multivariable Model Predictive Controller (RFMMPC) using Linear Matrix Inequalities (LMIs) formulation. The main idea is to solve at each time instant, an LMI optimization problem that incorporates input, output and Constrained Receding Horizon Predictive Control (CRHPC) constraints, and plant uncertainties, and guarantees certain robustness properties. The RFMMPC is easily designed by solving a convex optimization problem subject to LMI conditions. Then, the derived RFMMPC applied to a variable wind turbine with blade pitch and generator torque as two control inputs. The effectiveness of the proposed design is shown by simulation results.

EngineeringMathematical optimizationOptimization problembusiness.industryBlade pitchLMIs formalism; predictive control; quadratic program; T-S fuzzy model; Control and Systems EngineeringFuzzy logicVariable speed wind turbineModel predictive controlLMIs formalismControl and Systems EngineeringComputer Science::Systems and ControlControl theoryRobustness (computer science)Convex optimizationQuadratic programmingquadratic programT-S fuzzy modelbusinesspredictive control2014 European Control Conference (ECC)
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