Fuzzy Logic Based Multivariable Supervisory Control of a Complicated Industrial Process
In process industry, a practical process is generally characterized by being multivariable, non-linearity, severe coupling, large-time delay, and time-variance. As such, it is difficult to achieve a satisfactory performance using the conventional control method. In this paper, a fuzzy logic based advanced control system is proposed for supervisory control a multivariable mineral grinding process. This advanced control system can auto-adjust the set-points of the process controllers according to the operational conditions. As long as the process control system tracks their adjusted set-points, the closed-loop control of the final grinding product quality index can be realized. The actual industrial application results show the effectiveness of the proposed approach.
Complicated industrial process fuzzy logic supervisory control multivariable systems
HAN Laiji XIANG Bo ZHOU Ping
Department of Electrical Engineering, Tangshan 063020, Heibei, China Research Centre of Automation, Northeastern University, Shenyang 118009, Liaoning, China
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
7598-7602
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）