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A self-tuning fuzzy PID controller is designed through continuous updating of its output scaling factor. Instead of using a complex three dimensional rule base for obtaining PID action, one and two dimensional rule bases are used in parallel. Online self-tuning mechanism provides improved performance of the proposed fuzzy PID controllers compared to others. Its effectiveness is studied through simulation as well as real-time experimentation on a DC servo position control system.