A new algorithm based in the smart behavior of the bees for the design of mamdani-style fuzzy controllers using complex non-linear plants

Abstract

A study of the behavior and evaluation of the Bee Colony Optimization algorithm (BCO) for the Mamdani Fuzzy Controllers design is presented in this paper. The Bee Colony Optimization meta-heuristic belongs to the class of Nature- Inspired Algorithms. The main objective of the work is based on the main reasons for the optimization of the design of the Mamdani Fuzzy Controllers, specifically in tuning membership functions of the fuzzy controllers for the benchmark problems known as the water tank and the temperature controller. Simulations results confirmed that using the BCO to optimize the membership functions and the scaling gains of the fuzzy system improved the controller performance. The usual five metrics of the ITAE, ITSE, IAE, ISE and MSE for the errors in control are implemented.