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In this paper, a reduced order local optimal controller is designed for a higher order system. A reduced order model is obtained for the higher order system and its parameters are used for the reduced order local optimal controller. Also, genetic algorithm is used with the reduced order local optimal controller structure to design the controller parameters instead of obtaining them from the reduced order model. These results obtained are compared with the results obtained from full order local optimal controller. Finally, analogy between reduced order local optimal controller and PI controller parameters is represented. As such, this reduced order local optimal controller can be used for tuning PI controller parameters. Experimental results on a lab-based test rig confirm the effectiveness of the reduced order local optimal controller.