DocumentCode :
1598019
Title :
Self-Tuning Multivariable PID Decoupling Controller of Ball Mill Pulverizing System
Author :
Wang, Jie-sheng
Author_Institution :
Liaoning Univ. of Sci. & Technol., Anshan
Volume :
4
fYear :
2007
Firstpage :
738
Lastpage :
742
Abstract :
Ball mill coal pulverizing system of pelletizing plant is a complex nonlinear multivariable process with strongly coupling and time-delay, whose operations often varies violently. The automatic control of such systems is a research focus in the process control area. A new multivariable PID decoupling controller is proposed in this paper, which consists of diagonally matrix method-based decomposition compensatory unit, PID controller and fuzzy self-tuning components unit with scaling facto. Particle swarm optimization algorithm is also adopted to optimize parameters of PID controller. Simulation results show the validity of the model obtained and the control method proposed in this paper, the new method can overcome nonlinear and strong coupling features of the system in a wide range, and it has strong robustness and adaptability.
Keywords :
ball milling; fuzzy control; multivariable control systems; nonlinear control systems; particle swarm optimisation; process control; three-term control; automatic control; ball mill coal pulverizing system; complex nonlinear multivariable process; fuzzy self-tuning components unit; multivariable PID decoupling controller; particle swarm optimization algorithm; process control; self-tuning multivariable PID decoupling controller; time-delay; Automatic control; Ball milling; Control systems; Couplings; Fuzzy control; Matrix decomposition; Nonlinear control systems; Particle swarm optimization; Process control; Three-term control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
Type :
conf
DOI :
10.1109/ICNC.2007.655
Filename :
4344770
Link To Document :
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