Title :
Research on adaptive inverse control for piezoceramic based on SDRNN hysteresis inverse model
Author :
Dang, Xuanju ; Chen, Hao
Author_Institution :
Guilin Univ. of Electron. Technol., Guilin
Abstract :
With a similar diagonal recurrent neural networks hysteresis model describing dynamic hysteresis behavior for piezoceramic, an adaptive inverse control, in which inverse model for piezoceramic is obtained by the feedback error learning method, is proposed. In modeling process, Jacobian information of piezoceramic is not be used so that modeling for piezoceramic is needless and leaning speed is enhanced. In the control, the program is designed by C-MEX S functions. Results of simulations show that the proposed control method for piezoceramic is effective.
Keywords :
adaptive control; feedback; piezoceramics; recurrent neural nets; C-MEX S functions; Jacobian information; SDRNN hysteresis inverse model; adaptive inverse control; feedback error learning method; piezoceramic inverse model; similar diagonal recurrent neural networks hysteresis model; Adaptive control; Error correction; Hysteresis; Inverse problems; Jacobian matrices; Learning systems; Neurofeedback; Piezoelectric materials; Programmable control; Recurrent neural networks; C-MEX S function; Feedback error learning method; Hysteresis; Inverse model control; Piezoceramic; Similar Diagonal Recurrent Neural Networks (SDRNN);
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593200
