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Hysteresis hinders the wider applicability of smart materials in actuators. An adaptive inverse control approach based on the so-called Prandtle-Ishlinskii hysteresis operator is presented for reducing hysteresis. The weights of the model are identified by using LMS algorithm. The realization of an inverse feedforward controller for the linearization of a piezoelectric actuator is formulated. The method was applied to a micropositioning system driven by the PZT. In comparison to the conventionally open-loop control, the non-linearity error of applying adaptive inverse control is lowered from about 17.3 to about 2%.
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on (Volume:6 )
Date of Conference: 15-19 June 2004