Affiliation:
1. School of Computer Science and Engineering, Xi’an Technological University, Xi’an 710000, China
Abstract
A feed-forward and feedback control scheme based on artificial neural network (ANN) and iterative learning control is proposed. Iterative learning control and ANN are combined as a feed-forward controller, which makes the output track the desired trajectory. Feedback control is introduced to reduce the effect of disturbances. To combine the feed-forward controller and the feedback controller, the ANN is employed to simulate the plant. Since the ANN can update the weights online, it is always consistent with the plant. The convergence and robustness of the system are analyzed, and the simulation shows the feasibility of the proposed control scheme.
Funder
Shaanxi Provincial Department of Science and Technology
Subject
General Engineering,General Mathematics
Reference33 articles.
1. Digital control strategy for scanning of moving mirror in Fourier transform spectrometer;R. Liu;OPTIK,2016
2. Digital control of moving mirror motor in fourier transform spectrometer based on FPGA;D. Juan;Micromotors,2015
3. Research on dynamic calibration of fixed mirror of FTIR based on fuzzy control;H Yang;Journal of Atmospheric and Environmental Optics,2018
4. Iterative Learning Control for discrete nonlinear systems with randomly iteration varying lengths
5. Neural-network-based iterative learning control of nonlinear systems