Paper Info
Title
Self-Tuning Multivariable PID Decoupling Controller of Ball Mill Pulverizing System
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.
Year
DOI
Venue
2007
10.1109/ICNC.2007.655
ICNC
Keywords
Field
DocType
complex nonlinear multivariable process,control method,ball mill pulverizing system,self-tuning multivariable pid decoupling,pid decoupling controller,new multivariable,decomposition compensatory unit,pid controller,automatic control,new method,fuzzy self-tuning components unit,process control area,ball milling,fuzzy control,process control
Particle swarm optimization,Control theory,Multivariable calculus,PID controller,Computer science,Control theory,Automatic control,Self-tuning,Process control,Fuzzy control system
Conference
ISBN
Citations 
PageRank 
0-7695-2875-9
0
0.34
References 
Authors
1
1
Name
Order
Citations
PageRank
Jie-sheng Wang133.44