Iterative learning feedback control of network inverse system. Issue 4 (11th November 2021) - Yang, Xuelian
The traditional iterative learning feedback control has the problems of large feedback error and long searching time. Based on instruction set operation, the hardware part constructs the administrator module, the teacher module and the student module and carries on the detailed analysis. In the software design of the system, based on the system dynamics method and genetic algorithm, an iterative learning feedback controller for the network inverse system is proposed, which can effectively improve the anti-interference performance of the system. The experimental results show that the feedback error of the designed system is less than 1% and the searching time of learning materials is less than 200 ms, which proves the practicability of the designed system and lays a theoretical foundation for the further development of iterative learning feedback control of network inverse system.