Optimal design of interval type 2 fuzzy controllers based on a simple tuning algorithm

• Evolutionary algorithms are one of the most common choices reported in the literature for tuning fuzzy logic controllers.
• An alternative is the simple tuning algorithm, which is a methodology designed to improve the response of type-1 fuzzy logic controllers.
• An extension of the simple tuning algorithm for type-2 fuzzy controllers is presented.
• The proposed algorithm illustrated with experiments applied to different types of plants.

Evolutionary algorithms are one of the most common choices reported in the literature for the tuning of fuzzy logic controllers based on either type-1 or type-2 fuzzy systems. An alternative to evolutionary algorithms is the simple tuning algorithm (STA-FLC), which is a methodology designed to improve the response of type-1 fuzzy logic controllers in a practical, intuitive and simple ways. This paper presents an extension of the simple tuning algorithm for fuzzy logic controllers based on the theory of type-2 fuzzy systems by using a parallel model implementation, it also includes a mechanism to calculate the feedback gain, new integral criteria parameters, and the effect of the AND/OR operator combinations on the fuzzy rules to improve the algorithm applicability and performance. All these improvements are demonstrated with experiments applied to different types of plants.

Mechanism to simulate type-2 fuzzy systems FOU.Figure optionsDownload as PowerPoint slide