Title :
Optimal Self-Tuning of PID Controllers
Author_Institution :
Honeywell IASD, Phoenix, AZ 85023
Abstract :
A self-tuning PID controller has been developed that uses the well-known technique of direct-search optimization. An objective function that measures the quality of control performance is optimized by a succession of small adjustments to the three PID tuning constants. Because the optimization is driven by actual performance and no assumptions are made about process dynamics and disturbance behavior, this technique provides optimal tuning for almost any loop that can be controlled by PID.
Keywords :
Art; Automatic control; Dynamic range; Error correction; Optimal control; Performance gain; Personnel; Thermal variables control; Three-term control; Tuning;
Conference_Titel :
American Control Conference, 1988
Conference_Location :
Atlanta, Ga, USA