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Self-tuning of PID Controllers Based on Neuro-Predictive Controller for an active magnetic bearing
2017
unpublished
Preserved Fulltext
This research is concerned with a new procedure of self-tuning PID controller based on neuro-perdictive control. A dreariness 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 PM electromagnets active magnetic bearing plant and a comparison with conventional auto-tuning methods is also given.
fatcat:h4lmnvzkwvdhzh6vhzuooptpsy