Neuro-predictive control based self-tuning of PID controllers

: In this paper we present a new self-tuning procedure for PID controllers based on neuro-predictive control. A finite horizon optimal control problem is solved on-line, permitting to calculate the tuning parameters of the PID controller. The proposed method is implemented on a level-flow pilot plant and a comparison with conventional auto-tuning methods is also given.

• Type: Conference
• Year: 2004
• Where: ESANN
• Authors: Corneliu Lazar, Sorin Carari, Draguna Vrabie, Marius Kloetzer
• Keywords: ESANN 2004, ESANN 2007, Horizon Optimal Control, Level-flow Pilot Plant, Pid Controller