Abstract—In view of the long-time delay and large inertia of boiler superheated steam temperature control, this paper proposed a self-tuning control strategy based on Pole Assignment Optimal Prediction. Model parameters are identified by Least squares algorithm with forgetting factor, and then according to the estimation model of superheated steam temperature object, the PID parameters are tuned by designing the adaptive law with the method of Pole Assignment Optimal Prediction. Consequently the closed-loop system has desired characteristics; also this control strategy can solve the problem of the long-time delay of boiler superheated steam temperature. Finally the simulation results have shown the method has good dynamic and static control performances for this complicated superheated steam temperature control system, and meet the actual superheated steam temperature control requirements.
Index Terms—Pole assignment, optimal prediction, forgetting factor, PID parameters tuning, superheated steam temperature.
The authors are with Control Engineering Department, Hefei University of Technology, Hefei, China (e-mail: 861685971@qq.com).
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Cite: Longbiao Wang and Benxian Xiao, "PID Controller Parameters Tuning Based on Pole Assignment Optimal Prediction for Power Station Boiler Superheated Steam Temperature," International Journal of Engineering and Technology vol. 8, no. 2, pp. 88-93, 2016.
