Title :
Based on Multi-agent Model for Grinding Process Control Research
Author :
Hongwei, Zhao ; Yiming, Qi ; Jiye, Zhang ; Yuanheng, Zhao
Author_Institution :
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
Abstract :
Milling classification control is a slow time-delaying and nonlinear process. This paper presents a control method to the field of grinding process control which is based on Multi-Agents System and intelligent control method. Proposed a centralized multi-Agent architecture which used Decision agent and Control agent Hybrid Model. Combined with fuzzy control algorithm and expertise applied to controlling the process of grinding, And using JADE platform realized Multi-Agents System. The model is adaptable and has a strong self-adaptability and flexibility to meet the control requirements of production grinding to improve the production efficiency.
Keywords :
delays; fuzzy control; grinding machines; milling; multi-agent systems; nonlinear control systems; process control; fuzzy control algorithm; grinding process control research; intelligent control method; milling classification control; multiagent model; nonlinear process; time delaying systems; Classification algorithms; Databases; Decision making; Intelligent control; Knowledge based systems; Ores; Process control; Multi-Agents System; agent model; intelligent algorithm; milling classification control;
Conference_Titel :
Frontier of Computer Science and Technology (FCST), 2010 Fifth International Conference on
Conference_Location :
Changchun, Jilin Province
Print_ISBN :
978-1-4244-7779-1
DOI :
10.1109/FCST.2010.41
