A two-mass fuzzy control system is considered. For fuzzification process, classical both linear and nonlinear membership functions\nare used. To find optimal values of membership function�s parameters, genetic algorithm is used. To take into account values of both\noutput and intermediate parameters of the system, a penalty function is considered. Research is conducted for the case of speed\ncontrol system and displacement control system. Obtained results are compared with the case of the system with classical, crisp\ncontroller.
Loading....