Gaussian Process Repetitive Control With Application to an Industrial Substrate Carrier System With Spatial Disturbances
Noud Mooren, Gert Witvoet, Tom Oomen
Abstract
Repetitive control (RC) can perfectly attenuate disturbances that are periodic in the time domain. The aim of this article is to develop an RC approach that compensates for disturbances that are time-domain nonperiodic but are repeating in the position domain. The developed position-domain buffer consists of a Gaussian process (GP), which is learned using appropriate dynamic filters and nonequidistant data. This approach estimates position-domain disturbances resulting in perfect compensation. The method is successfully applied to a substrate carrier system, demonstrating performance robustness against time-domain nonperiodic disturbances that are amplified by traditional RC.
Topics & Concepts
Control theory (sociology)Process controlControl systemGaussian processProcess (computing)Control engineeringControl (management)Computer scienceEngineeringGaussianArtificial intelligencePhysicsElectrical engineeringOperating systemQuantum mechanicsIterative Learning Control SystemsAdvanced Control Systems OptimizationControl Systems and Identification