Abstract: A multi-objective optimization method based on fuzzy logic NSGA-Ⅲ is proposed to optimize torque ripple, efficiency of system operations and output power density of switched reluctance ge-nerator (SRG). The multi-objective optimization design model of 1kW four-phase 8/6 pole SRG is built. Then, the SRG optimization objectives models are established by using response surface methodology (RSM). Mamdani fuzzy reasoning system based on fuzzy logic is established, so that intensity value assignment of population individuals is achieved, and the decision maker's preference information is introduced into the algorithm. The optimization direction of the algorithm is guided through the value. Finally, optimal Pareto set of SRG optimization that satisfies the preferences of decision maker is generated based on improved elitist NSGA-III, and the solution with largest S is determined as the optimal solution for SRG multi-objective optimization. Experiments verify that fuzzy logic NSGA-Ⅲ is superior to NSGA-III when considering the preference of decision maker. SRG's finite element simulation results prove the validity and feasibility of the proposed multi-objective optimization design method.

Key words: switched reluctance generator, response surface methodology, NSGA-III, fuzzy logic, multi-objective optimization