Optimization of Fuzzy Trajectory Tracking in Autonomous Mobile Robots Based on Bio-inspired Algorithms

In this paper a comparison between the Bee Colony Optimization (BCO) and the Chicken Search Optimization (CSO) algorithms in optimal fuzzy control design is presented. The comparison is based on solving the problem to find the optimal distribution on the Membership Functions (MFs) of fuzzy controllers for mobile robots. Optimization in the structure and parameters for designing for a fuzzy tracking controller is presented. A new CSO algorithm for the optimization in Fuzzy Logic Controllers (FLC) is presented. The main aim is to use the two bio-inspired algorithms individually to improve of trajectories of an Autonomous Mobile Robot. CSO algorithm shows better results when compared to BCO in the simulation results for this control problem.