CSIMFS: An algorithm to tune fuzzy logic controllers
Omar Rodríguez-Zalapa, Jorge Adalberto Huerta-Ruelas, Domingo Rangel, Eduardo Morales‐Sánchez, Antonio Hernández Zavala · Journal of Intelligent & Fuzzy Systems · 2017
This work, presents a new tuning algorithm for type-I fuzzy logic controllers (FLCs), called Change Symmetry in Input Membership Functions (CSIMFS). The algorithm uses an iterative method that applies specific criteria to reduce mathematical operations during the tuning process to develop embedded FLCs. It uses one-input-one-output fuzzy inference system with five control rules and no more than two tuning parameters. The effectiveness of the proposed algorithm was validated experimentally using a real nonlinear pneumatic positioning system and verified with a simulation using a second order model. In both cases, CSIMFS algorithm exhibited a better performance compared with heuristically tuned FLCs. Moreover, a new combined performance index was defined and compared to traditional ITAE index offering better results, reducing the maximum overshoot and a faster convergence of settling time.