The main aim of this paper is to tune a PID controller to enhance the out put response of fifth order modal with sensor in feedback control system . This controller tuned by genetic algorithms, because the fifth order system is notoriously difficult to control optimally using conventional PID controller. Genetic Algorithms (GA) are effective at finding high performance areas in large domains and the ideal choice to tune the PID controller can be achieved. Genetic Algorithms were examined in detail, it was decided to create an objective function which evaluates the optimum PID gains based on the controlled systems overall error. GA’s outperformed standard tuning practices, e.g. Ziegler Nichols, at designing of PID controllers, in the tests carried out. Experimentally, it can be determined that the Integral Square Error (ISE) performance criterion produces the most effective PID controllers compared with other performance criterion