performance Comparison of Type-1, Interval Type-2 and Generalized Type-2 Fuzzy Logic Controllers

摘要

Nowadays Fuzzy logic in control applications is a well-recognized alternative, and this is thanks to its in inherent advantages, such as its robustness. However, the Type-2 Fuzzy Logic approach, allows better management of uncertainty in the model. Type-2 Fuzzy Logic has shown significant improvement in image processing applications; however it is also important to analyze its impact in a controller performance. This paper is presenting a comparison in the performance of Type-1, Interval Type-2 and Generalized Type-2 Fuzzy Logic Controllers, in order to generate criteria to decide which controller is better in specific applications. The plants considered in the performed experimentation are two benchmark plants and we report the Integral Squared Error (ISE), Integral Absolute Error (IAE) and Integral Time-weighted Absolute Error (ITAE) performance metrics, and also another important metric reported is the execution time. Based on the experimental results, Fuzzy Controllers selection criteria are proposed according the performance and execution time demands.