6533b826fe1ef96bd1283d99
RESEARCH PRODUCT
Fuzzy modeling and control for a class of inverted pendulum system
Hamid Reza KarimiXiaoheng ChangLiang Zhangsubject
Adaptive neuro fuzzy inference systemArticle SubjectMathematics::General Mathematicslcsh:MathematicsApplied MathematicsFuzzy control systemAnalysis; Applied Mathematicslcsh:QA1-939VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Fuzzy logicInverted pendulumNonlinear systemControl theoryControl systemLinear approximationAnalysisMathematicsdescription
Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/936868 Open Access Focusing on the issue of nonlinear stability control system about the single-stage inverted pendulum, the T-S fuzzy model is employed. Firstly, linear approximation method would be applied into fuzzy model for the single-stage inverted pendulum. At the same time, for some nonlinear terms which could not be dealt with via linear approximation method, this paper will adopt fan range method into fuzzy model. After the T-S fuzzy model, the PDC technology is utilized to design the fuzzy controller secondly. Numerical simulation results, obtained by Matlab, demonstrate the well-controlled effectiveness based on the proposed method for the model of T-S fuzzy system and fuzzy controller.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2014-01-01 |