Determination of Stabilizing Parameter of Fractional Order PID Controller Using Genetic Algorithm

This paper present the development of new tuning method and performance for Genetic Algorithm based Fractional order PID controller ,fractional order PID controller include the conventional order PID controller parameter. The tuning of the PID controller is mostly done using Zeigler and Nichols tuning method. All the parameters of the controller, namely p K (Proportional gain), i K (integral gain), d K (derivative gain) can be determined. Fractional order PID (FOPID) is a special kind of PID controller whose derivative and integral order are fractional rather than integer. To design FOPID controller is to determine the two important parameters  (integrator order) and  (derivative order).The key challenge of designing of FOPID to determine the values of  and  . Many random search methods, such as genetic algorithm (G.A) have recently received much interest for achieving high efficiency and searching global optimal solution in space. Due to the high potential for global optimization, GA has received great attention in control system to determine the optimal FOPID controller parameter. This paper proposed a tuning method of FOPID by using Genetic Algorithm.