A controller design method based on the integration of structure search and parameter optimization

Abstract

For the controller structure design problem, a controller design method based on the integration of structure search and parameter optimization is proposed with the idea of ENAS, which automates the controller structure design work, and searches for the most suitable controller structure and completes the parameter optimization in a relatively short time. The simulation study with the galvano scanner as the controlled plant shows that the number of iterations and the consumption time of the method are only 15% of the traditional method in achieving the same performance compared with the traditional design method.