Article ID Journal Published Year Pages File Type
560156 Mechanical Systems and Signal Processing 2015 10 Pages PDF
Abstract

•The analytic method of repetitive control proposed in this paper eliminates the interference from a feedback control system.•The start point influences the convergence rate directly.•When the data are stabilized, the tracking error of the obtained convergence value, 10−14, is the optimal solution.

The application of a repetitive control mechanism for use in a mechanical control system has been a topic of investigation. The fundamental purpose of repetitive control is to eliminate disturbances in a mechanical control system. This paper presents two different repetitive control laws using individual types of basis function feedback and their combinations. These laws adjust the command given to a feedback control system to eliminate tracking errors, generally resulting from periodic disturbance. Periodic errors can be reduced through linear basis functions using regression and a genetic algorithm. The results illustrate that repetitive control is most effective method for eliminating disturbances. When the data are stabilized, the tracking error of the obtained convergence value, 10−14, is the optimal solution, verifying that the proposed regression and genetic algorithm can satisfactorily reduce periodic errors.

Related Topics
Physical Sciences and Engineering Computer Science Signal Processing
Authors
, , ,