Optimal Fuzzy Logic Controller for DC Motor Using Grasshopper Optimization Algorithm

Actually, technological advances in the electric motor industry have been significant, however, demand is expected to increase in the next years because the increase in the manufacture of work and household tools such as smart vacuum cleaners, and to work they need direct current (DC), without forgetting the manufacture of electric or hybrid automobiles, drones, explorer or domestic robots, et al. A high demand for this type of product is projected, because the trend and social needs are focused on autonomy, this due to the shortage of mineral resources for the production of fossil fuels for combustion in the case of the automotive industry. Thinking about that necessity, in this work a model based on intelligent computation is presented to build and determine an optimal controller based on fuzzy logic to take advantage of the maximum performance in motors that use DC, to evaluate, optimize and determine the optimal controller. The optimization algorithm bio-inspired by the behavior of grasshoppers in nature is used in this work and the contribution is the implementation of the grasshopper algorithm to optimize a Mamdani type fuzzy control applied to a benchmark problem with the aim of testing the performance and stability in the problem resolutions.