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Control of a hydraulic system by means of a fuzzy approach

Journal Name:

  • An International Journal of Optimization and Control: Theories & Applications

Publication Year:

  • 2013
DOI: 
10.11121/ijocta.01.2013.00153

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Abstract (Original Language): 
Non linear models can be represented conveniently by Takagi-Sugeno fuzzy models when nonlinearities are bounded. This approach uses a collection of linear models which are interpolated by non linear functions. Then the global control law is the interpolation by the same functions of each feedback associated to each linear model. A Lyapunov approach enables to compute these feedback gains. The number of linear models depends directly on the number of nonlinearities the system has. The more models there are, the more difficult it is to guarantee the stability of the closed loop. This paper proposes a method to reduce the number of linear models by assuming a number of nonlinearities considered as uncertainties and to guarantee the global exponential stability of the system. This method is applied on a hydraulic system.
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