Title :
Study on Fuzzy Self-Tuning PID Internal Model Control Algorithm and Its Application
Author :
Ming-guang, Zhang ; Peng, Wang ; Zhao-gang, Wang
Author_Institution :
Lanzhou Univ. of Technol., Lanzhou
Abstract :
Through introducing 1/1 pade series to approximate the time delay unit and using the two steps design approach, the internal model control system can be changed into conventional PID unity feedback control system. Then used fuzzy inference to tune the PID parameters online, the fuzzy self-tuning PID internal model controller is realized. This controller combines the advantage of fuzzy control, internal model control and PID control. Fuzzy control is used to overcome the uncertainty of mathematical model of the real plant. Internal model control is used to resolve the large time-delay of the coke oven temperature control system. Simulation experiments have been done to coke oven temperature control system. Simulation results show that system adopted fuzzy self-tuning PID internal model control has smaller steady error, shorter adjusting time, smaller overshoot, faster rising time and comparatively strong robustness.
Keywords :
adaptive control; control system synthesis; delays; fuzzy control; inference mechanisms; self-adjusting systems; temperature control; three-term control; PID control; coke oven temperature control system; fuzzy control; fuzzy inference; internal model control algorithm; self-tuning control; time delay; unity feedback control system; Control system synthesis; Delay effects; Feedback control; Fuzzy control; Inference algorithms; Mathematical model; Ovens; Temperature control; Three-term control; Uncertainty;
Conference_Titel :
Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on
Conference_Location :
Heilongjiang
Print_ISBN :
978-0-7695-3073-4
DOI :
10.1109/CISW.2007.4425439