Micro-positioning of linear-piezoelectric motors based on a learning nonlinear PID controller

In this paper, a learning nonlinear proportional integral derivative (PID) controller is developed for vaguely modeled nonlinear systems under the influence of significant disturbance and noise. The control scheme is generic in nature, but it is applied specifically to the micropositioning of linear...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE/ASME transactions on mechatronics 2001-12, Vol.6 (4), p.428-436
Hauptverfasser:	Tan, K.K., Tong Heng Lee, Zhou, H.X.
Format:	Artikel
Sprache:	eng
Schlagworte:	Actuators Applied sciences Computer science control theory systems Computer simulation Control system synthesis Control systems Control theory. Systems Dynamical systems Exact sciences and technology Friction Hysteresis motors Learning Learning systems Mathematical models Mechanical engineering. Machine design Micromotors Motion control Motors Nonlinear control systems Nonlinear dynamics Nonlinearity PD control Pi control Piezoelectric actuators Precision engineering, watch making Proportional integral derivative Servomechanisms Three term control systems Three-term control
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	In this paper, a learning nonlinear proportional integral derivative (PID) controller is developed for vaguely modeled nonlinear systems under the influence of significant disturbance and noise. The control scheme is generic in nature, but it is applied specifically to the micropositioning of linear-piezoelectric motors in this paper. The design of the control scheme does not require a full mathematical model of the nonlinear system. Simulation and experimental results are provided to highlight the good motion control performance achieved from the control scheme.
ISSN:	1083-4435 1941-014X
DOI:	10.1109/3516.974856