This paper explains the tuning of analog PID controller for superheated steam temperature system of 500 MW boiler using Particle Swarm optimisation Algorithm based on ITAE as the objective function. The analog controllers have large applications in industrial control. The fifth order model of superheated steam temperature system of 500 MW boiler is taken for study. Most of the available tuning algorithms are based on FOPTD models which is given by G(s) = Ke ^–τs/(Ts+1). If the plant is not approximated well to good FOPTD model, good controllers may not be designed using existing algorithms. Genetic algorithm is a stochastic algorithm based on principles of natural selection and genetics. To tune the PID controllers using Particle Swarm optimisation Algorithm , it does not require any FOPTD model. Hence the analog PID controller is tuned using Particle Swarm optimisation algorithm for superheated steam temperature system and the results are compared.