Fractional PID Controller Design based on Evolutionary Algorithms for Robust two-inertia Speed Control

This paper deals with the speed control of two-inertia system by fractional order PIl Dm controller design with evolutionary algorithms. Fractional controller means the order of I, D controllers will not only be integer but also can be any real number. The significance of frictional order control is that it is a generalization and "interpolation" of the classical integer order control theory, which can achieve more adequate modeling and clear-cut design of robust control system. However, most of fractional order control researches were originated and concentrated on the control of chemical processes, while in motion control the research is still in a primitive stage. In this paper, we tune the controller parameters with EA to control of the two-inertia system, which is a basic control problem in motion control. The novelty of the proposed paper is using EA to tune the Fractional PIl Dm parameters and implementing this controller as a robust controller in comparison with classical PID.

Fractional PID Controller Design based on Evolutionary Algorithms for Robust two-inertia Speed Control Keywords:

Genetic Algorithm , Fitness function , Fractional Calculators , PIl Ddcontroller , PID controller