An instability avoidance module that can be implemented in SISO PID control loops to automatically adjust the controller's tuning parameters when undesired oscillatory behavior is monitored. This module is a Fuzzy-based Supervisor composed of a dynamic parameter identification module that operates on-line, and a Fuzzy Inference System (FIS) with fuzzy rules to modify PID tuning. Tests in nonlinear process models were performed, demonstrating that this Fuzzy Supervisor—Type 1 (non-intrusive) provides the PID controller the ability to adapt its tuning to eliminate the observed oscillatory behavior.
Smith, Carlos A. and Sanjuan, Marco E., "System and method to avoid oscillatory behavior in proportional-integral-derivative (PID) controllers by using fuzzy inference and modified/active damping" (2010). USF Patents. 526.
Universidad del Norte