Title :
Fuzzy PI control of an industrial weigh belt feeder
Author :
Zhao, Yanan ; Collins, Emmanuel G.
Author_Institution :
Dept. of Mech. Eng., Florida A&M Univ., Tallahassee, FL, USA
Abstract :
This paper proposes and experimentally demonstrates two types of fuzzy logic controllers for an industrial weigh belt feeder. The first type is a PI-like fuzzy logic controller (FLC). A gain scheduled PI-like FLC and a self-tuning PI-like FLC are presented. For the gain scheduled PI-like FLC the output scaling factor of the controller is gain scheduled with the change of setpoint. For the self-tuning PI-like FLC, the output scaling factor of the controller is modified on-line by an updating factor whose value is determined by a rule-base with the error and change of error of the controlled variable as the inputs. A fuzzy PI controller is also presented, where the proportional and integral gains are tuned on-line based on fuzzy inference rules. Experimental results show the effectiveness of the proposed fuzzy logic controllers.
Keywords :
adaptive control; conveyors; errors; fuzzy control; industrial control; knowledge based systems; online operation; self-adjusting systems; two-term control; weight control; fuzzy PI control; fuzzy inference rules; fuzzy logic controllers; gain scheduled PI-like FLC; industrial weigh belt feeder; integral gains; online modification; online tuning; proportional gains; rule-base; self-tuning PI-like FLC; updating factor; Belts; Error correction; Friction; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Industrial control; Pi control; Proportional control; Three-term control;
Conference_Titel :
American Control Conference, 2002. Proceedings of the 2002
Print_ISBN :
0-7803-7298-0
DOI :
10.1109/ACC.2002.1024476