Big-bang big-crunch based optimization of PID controller for DC motor

This paper proposed a new approach to control speed of linear brushless DC motor. This paper provides an overview of Big Bang-Big Crunch algorithm (BB-BC) and presenting it as an alternative to evolutionary algorithm. Big Bang-Big Crunch optimization is used to determine optimal gains of proportional-derivative-integral controller (PID). BB-BC method is inspired by big bang theory. The proposed method shows its robustness under critical conditions over particle swarm optimization (PSO) and differential evaluation algorithm (DE).