Predictive functional control of an axis positioning system with an estimator-based internal model. (May 2019)

• Record Type: Journal Article
• Authors: Satoh, Toshiyuki; Saito, Naoki; Nagase, Jun-ya; Saga, Norihiko
• Is Part Of: Control engineering practice. Volume 86(2019)
• Page Start: 1
• Page End: 10
• Publication Date: 2019-05
• Subjects: Predictive functional control -- Model-based control -- Axis positioning system -- Mechatronics -- Motion control -- Real-time control; Automatic control -- Periodicals; 629.89
• DOI: 10.1016/j.conengprac.2019.02.006
• Languages: English
• ISSNs: 0967-0661

Abstract

Abstract: This paper deals with an application of the predictive functional control with a state estimator-based internal model (PFC_ EBIM). The PFC_ EBIM has been shown to be effective in simulation. However, neither detailed experimental validation nor comparison with other controllers has been reported thus far. Here, the PFC_ EBIM is implemented in a single-axis positioning system, and a few experimental tests are conducted. Tracking performance of the PFC_ EBIM, standard PFC, and P – PI control for both smooth and non-smooth reference signals are compared. The experimental results prove the effectiveness of the PFC_ EBIM.