The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Piezoelectric actuators are popularly applied in precision positioning mechanism in Scanning Tunneling Microscope due to its advantage of nanometer resolution. Accurate tracking is difficult to be achieved owing to the intrinsic nonlinear hysteresis of piezoelectric ceramics. An adaptive control scheme combining neural network with traditional PID controller is proposed to improve the performance...
In view of the controlled plant complexity of the horizontal position synchronization system in automatic filling machine, a novel approach of single neuron PID model reference adaptive control for AC permanent magnet synchronous motor (PMSM) servo control based on diagonal recurrent neural network (DRNN) on-line identification is proposed owing to the disadvantage of traditional PID controller. The...
This paper presents an approach to modeling the dynamic hysteresis nonlinearity in the major loop of a piezoelectric stack actuator. The dynamic hysteresis model structure is analyzed and an artificial neural network is designed to identify the static hysteresis model in the major loop of the piezoelectric actuator. Experiment shows that the accuracy of the dynamic hysteresis model is better than...
A novel methodology is proposed in this paper for real-time modeling of a nanometer scale positioning stage driven by the piezoelectric ceramics. The precision of the stage is limited by the intrinsic nonlinear and hysteretic behaviors of the actuator. By integrating a second-order linear dynamics and a diagonal recurrent neural network, a nonlinear dynamic model is developed and experimentally validated...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.