Tuning of digital PID controller parameters using local optimal control

This paper introduces a new tuning technique for digital PID controller parameters. This technique based on the modified local optimal controller parameters for certain reduced order model structures. Different methods are used to obtain the local optimal controller parameters for these reduced order structures. The new tuning technique for digital PID controller parameters is compared with the existing genetic algorithm technique for tuning digital PID controller parameters. Experimental results on a lab-based test rig confirm the effectiveness of this new technique over the genetic algorithm technique from robust performance point of view.