Title :
Application of improved PID dynamic matrix control algorithm in EPA
Author :
Guo, Wei ; Yao, Shaojie
Author_Institution :
Coll. of Inf. &Control, Nanjing Univ. of Inf. Sci. & Technol., Nanjing
Abstract :
Based on the analysis of PID control algorithm and dynamic matrix control (DMC) algorithm, the derivation of proportional integral derivative dynamic matrix control (PIDDMC) algorithm is given. Combined the virtues of the two algorithms, this kind of algorithm is of the advantages of PID algorithm, which is simple in structure, reliable in operation and robust in performance, and of predictive function. The influence of PIDDMC controller parameter tuning on system performance is investigated in time domain. The parameter election range is researched. Compared simulation results in a real time Ethernet for Plant Automation (EPA) experiment device, PIDDMC algorithm has better performance than conventional DMC algorithm to make the system have satisfactory stability and transition characteristics, and grounds well for engineering application.
Keywords :
industrial control; industrial engineering; industrial plants; local area networks; matrix algebra; stability; three-term control; EPA; Ethernet for Plant Automation; PID dynamic matrix control; parameter election range; parameter tuning; predictive function; proportional integral derivative dynamic matrix control; satisfactory stability; Algorithm design and analysis; Automatic control; Control systems; Heuristic algorithms; PD control; Pi control; Proportional control; Robustness; System performance; Three-term control; Dynamic matrix control; PID control; Performance analysis; Time domain;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593143