  An approach is proposed to design the intelligent electrode position
controller for UHP by using nonlinear scaling and fuzzy self tuning PID control
algorithm. First, nonlinear scaling of controlled variable that compensate the
nonlinearity of the object is proposed. Second, a fuzzy self tuning PID
electrode position control algorithm is designed and the parameters of the
fuzzy inference are optimized by using GA (Genetic Algorithm). Finally, the
effectiveness of the proposed approach is verified by field test.
